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<!doctype html>
<html lang="en">
<!-- GENERATED by catalog.py build — DO NOT EDIT. Edit the sibling .md and re-run `catalog.py build`. -->
<head>
<meta charset="utf-8" />
<meta name="viewport" content="width=device-width, initial-scale=1" />
<title>MAGE — Model-Based Agentic Engineering</title>
<style>@font-face{font-family:'Source Serif 4';font-style:normal;font-weight:400;font-stretch:normal;font-display:swap;src:url('book/fonts/SourceSerif4/SourceSerif4-Regular.ttf') format('truetype');}@font-face{font-family:'Source Serif 4';font-style:normal;font-weight:600;font-stretch:normal;font-display:swap;src:url('book/fonts/SourceSerif4/SourceSerif4-Semibold.ttf') format('truetype');}@font-face{font-family:'Source Serif 4';font-style:normal;font-weight:700;font-stretch:normal;font-display:swap;src:url('book/fonts/SourceSerif4/SourceSerif4-Bold.ttf') format('truetype');}@font-face{font-family:'Source Serif 4';font-style:italic;font-weight:400;font-stretch:normal;font-display:swap;src:url('book/fonts/SourceSerif4/SourceSerif4-It.ttf') format('truetype');}@font-face{font-family:'Source Serif 4';font-style:italic;font-weight:600;font-stretch:normal;font-display:swap;src:url('book/fonts/SourceSerif4/SourceSerif4-SemiboldIt.ttf') format('truetype');}@font-face{font-family:'Source Serif 4';font-style:italic;font-weight:700;font-stretch:normal;font-display:swap;src:url('book/fonts/SourceSerif4/SourceSerif4-BoldIt.ttf') format('truetype');}@font-face{font-family:'Source Sans 3';font-style:normal;font-weight:400;font-stretch:normal;font-display:swap;src:url('book/fonts/SourceSans3/SourceSans3-Regular.ttf') format('truetype');}@font-face{font-family:'Source Sans 3';font-style:normal;font-weight:700;font-stretch:normal;font-display:swap;src:url('book/fonts/SourceSans3/SourceSans3-Bold.ttf') format('truetype');}@font-face{font-family:'Source Sans 3';font-style:italic;font-weight:400;font-stretch:normal;font-display:swap;src:url('book/fonts/SourceSans3/SourceSans3-It.ttf') format('truetype');}@font-face{font-family:'Source Sans 3';font-style:italic;font-weight:700;font-stretch:normal;font-display:swap;src:url('book/fonts/SourceSans3/SourceSans3-BoldIt.ttf') format('truetype');}@font-face{font-family:'IBM Plex Mono';font-style:normal;font-weight:400;font-stretch:normal;font-display:swap;src:url('book/fonts/IBMPlexMono/IBMPlexMono-Regular.ttf') format('truetype');}@font-face{font-family:'IBM Plex Mono';font-style:normal;font-weight:500;font-stretch:normal;font-display:swap;src:url('book/fonts/IBMPlexMono/IBMPlexMono-Regular.ttf') format('truetype');}</style>
<style>
/* Legacy var aliases → design tokens: --line/--link predate the token model and are referenced across
the landing + views CSS; alias them so every site rule resolves to the Umber-Monograph tokens without
touching hundreds of call sites. The token :root (inlined via FONT_CSS) defines --ink/--muted/--accent. */
:root { --line: var(--rule); --link: var(--accent); }
* { box-sizing: border-box; }
body { margin:0; font-family:var(--font-body);
color:var(--ink); background:var(--paper); line-height:var(--lh-body); font-size:var(--fs-body); }
main { width: 94vw; max-width: 1320px; margin: 0 auto; padding: 32px 26px 80px; }
/* The landing is a figure-prose BOARD — a controlled ceiling so wide-screen scan-lines stay comfortable
(was 2100); entry/prose pages keep the 1320 reading width. */
body.landing main { max-width: 1600px; }
body.landing .site-foot { max-width: 1600px; }
nav.crumb { font-size: var(--fs-meta); color: var(--muted); margin: 0 0 18px; letter-spacing:.01em; }
nav.crumb a { color: var(--link); text-decoration: underline; text-underline-offset: 2px; }
nav.crumb a:hover { text-decoration: underline; }
/* "Calm authority": the page title (h1) is the one BOLD level; h2/h3 stay semibold (--display-weight)
via the shared binding, with more air above each so headings organise rather than compete. */
h1 { font-size: var(--fs-thesis-title); font-weight:700; margin: 6px 0 4px; letter-spacing:var(--display-tracking); line-height:1.12; }
h2 { font-size: var(--fs-section); margin: 38px 0 8px; padding-top: 6px; border-top:var(--border-hairline) solid var(--line); }
h3 { font-size: var(--fs-card-title); margin: 26px 0 6px; }
h4 { font-size: var(--fs-card-body); margin: 16px 0 4px; color:var(--ink); }
p, li { font-size: var(--fs-body); }
a { color: var(--link); }
code { background:var(--code-bg); padding:1px 5px; border-radius:var(--radius-chip); font-size:.9em;
font-family:var(--font-mono); }
pre { background:var(--code-bg); padding:12px 14px; border-radius:var(--radius-code); overflow:auto; }
pre code { background:none; padding:0; }
table { border-collapse: collapse; margin: 12px 0; font-size: var(--fs-meta); width:100%; }
th, td { border:var(--border-hairline) solid var(--line); padding:6px 10px; text-align:left; vertical-align:top; }
th { background:var(--panel); font-weight:700; }
hr { border:none; border-top:var(--border-hairline) solid var(--line); margin: 22px 0; }
.subtitle { font-size: var(--fs-meta); color:var(--muted); font-style: italic; margin: 0 0 6px; }
a.abbr { color:var(--ink); text-decoration:none; border-bottom:var(--border-hairline) dotted var(--accent);
cursor:help; }
a.abbr:hover { color:var(--accent); border-bottom-style:solid; }
section.abbr-entry { scroll-margin-top:14px; }
section.abbr-entry h2 code.slug { font-size:var(--fs-micro); font-weight:400; color:var(--accent);
background:var(--accent-tint); vertical-align:middle; margin-left:8px; }
p.abbr-grounds { font-size:var(--fs-meta); color:var(--muted); margin:4px 0 2px; }
/* Derived "Governed by" block — appended to is-a-model entry pages (reverse of the Governs join). */
.govby { margin-top:28px; border-top:var(--border-accent-bar) solid var(--accent); padding-top:6px; }
.govby h2 { border-top:none; padding-top:0; margin-top:8px; }
.gb-note { font-size:var(--fs-meta); color:var(--muted); font-style:italic; margin:2px 0 8px; }
.gb-list { margin:0; padding-left:20px; }
.gb-list li { font-size:var(--fs-meta); margin:4px 0; }
.gb-list li a { font-weight:600; text-decoration:none; }
.gb-list li a:hover { text-decoration:underline; color:var(--accent); }
.gb-all { font-size:var(--fs-micro); color:var(--muted); background:var(--panel); border:var(--border-hairline) solid var(--rule);
border-radius:var(--radius-chip); padding:0 6px; margin-left:5px; white-space:nowrap; }
.tag { color: var(--accent); font-weight: 700; font-size: var(--fs-micro); letter-spacing:.08em; text-transform:uppercase; }
.census h3.role-h { color:var(--accent); border-top:var(--border-accent-bar) solid var(--line); padding-top:14px; margin-top:26px; }
.census .role-note { font-size:var(--fs-micro); color:var(--muted); background:var(--accent-tint); border-left:var(--border-accent-bar) solid var(--accent);
padding:7px 12px; border-radius:0 var(--radius-code) var(--radius-code) 0; margin:2px 0 10px; }
/* Census tables read as the card language: no full cell-grid — row hairlines only, header a stronger
bottom rule, warm-panel header fill. */
table.census-t th, table.census-t td { border:none; border-bottom:var(--border-hairline) solid var(--line); }
table.census-t thead th { border-bottom:2px solid var(--rule); background:var(--panel); }
table.census-t td.c-name a { font-weight:600; text-decoration:none; }
table.census-t td.c-name a:hover { text-decoration:underline; }
table.census-t td.c-sum { font-size:var(--fs-meta); color:var(--muted); }
table.census-t td.c-enf { white-space:nowrap; color:var(--ink); }
table.census-t th, table.census-t td { vertical-align:top; }
table.census-t tr:hover { background:var(--panel); }
.fam-lede { font-size:var(--fs-meta); color:var(--muted); font-style:italic; margin:2px 0 6px; }
.foot { font-size: var(--fs-micro); color: var(--muted); border-top:var(--border-hairline) solid var(--line); padding-top:14px; margin-top: 34px; }
/* Concept Card (the Concepts section's per-idea page). Single umber accent throughout — the section's
identity is the warm accent-tint band + the "Concept" chip + its idea glyph, never a new hue. */
.concept-band { display:flex; align-items:center; gap:12px; background:var(--accent-tint);
border-left:var(--border-accent-bar) solid var(--accent);
border-radius:0 var(--radius-code) var(--radius-code) 0; padding:8px 14px; margin:2px 0 20px; }
.concept-chip { display:inline-flex; align-items:center; gap:6px; color:var(--accent); font-weight:700;
font-size:var(--fs-micro); letter-spacing:.08em; text-transform:uppercase; white-space:nowrap; }
.concept-chip .cc-ico { width:1.1em; height:1.1em; flex:0 0 auto; }
.concept-kicker { font-size:var(--fs-meta); color:var(--muted); }
/* Industry-case pillar index — "The six" as a scannable card grid. Each card is a link, but only its
"Read the reconstruction" affordance underlines; the org/domain/blurb stay plain so the grid reads as
cards, not as one run-together underlined block. */
.ic-cards { display:grid; grid-template-columns:repeat(auto-fill, minmax(260px, 1fr)); gap:13px; margin:16px 0 8px; }
.ic-card { display:flex; flex-direction:column; border:1.4px solid var(--rule); border-radius:10px;
background:var(--panel); padding:14px 16px; text-decoration:none; color:var(--ink); }
.ic-card:hover { border-color:var(--accent); background:var(--accent-tint); }
.ic-card .ic-org { font-family:var(--font-display); font-weight:700; font-size:1.06rem; color:var(--ink); }
.ic-card .ic-dom { font-size:var(--fs-micro); text-transform:uppercase; letter-spacing:.05em;
color:var(--muted); margin-top:3px; }
.ic-card .ic-blurb { font-size:var(--fs-meta); color:var(--ink); line-height:1.45; margin-top:9px; }
.ic-card .ic-more { font-size:var(--fs-meta); font-weight:600; color:var(--accent); margin-top:11px; }
.ic-card:hover .ic-more { text-decoration:underline; }
figure.cc-fig { margin:20px 0; max-width:660px; }
figure.cc-fig svg { width:100%; height:auto; }
section.cc-rel, section.cc-mech, section.cc-intuition, section.cc-read { margin-top:8px; }
ul.cc-links { list-style:none; margin:8px 0; padding:0; }
ul.cc-links li { margin:5px 0; }
ul.cc-links li a { font-weight:600; text-decoration:none; }
ul.cc-links li a:hover { text-decoration:underline; color:var(--accent); }
.cc-mech-empty { font-size:var(--fs-meta); color:var(--muted); font-style:italic; margin:8px 0; }
a.cc-read-link { font-weight:600; text-decoration:none; }
a.cc-read-link:hover { text-decoration:underline; }
/* The brick's single "→ read the concept" link into each rich Concept ENTRY (two-tier split). */
a.s-concept { display:inline-block; font-size:var(--fs-meta); font-weight:600;
color:var(--accent); text-decoration:none; }
a.s-concept:hover { text-decoration:underline; }
/* The standalone Big Question page: the question blockquote, the three-step through-line, answer cards. */
blockquote.cq-q { margin:14px 0; padding:10px 18px; border-left:var(--border-accent-bar) solid var(--accent);
background:var(--accent-tint); border-radius:0 var(--radius-code) var(--radius-code) 0;
font-size:var(--fs-card-body); color:var(--ink); }
blockquote.cq-q-main { font-family:var(--font-display); font-weight:700; font-size:var(--fs-card-title);
line-height:1.24; }
ol.cq-through { list-style:none; counter-reset:none; margin:14px 0 8px; padding:0; }
li.cq-step { display:flex; gap:14px; align-items:flex-start; margin:0 0 14px; }
.cq-num { flex:0 0 auto; width:1.7em; height:1.7em; display:inline-flex; align-items:center;
justify-content:center; border-radius:50%; background:var(--accent); color:var(--paper);
font-weight:700; font-size:var(--fs-meta); margin-top:2px; }
.cq-body { flex:1 1 auto; }
h3.cq-h { margin:0 0 3px; }
p.cq-text { margin:0 0 4px; }
p.cq-ideas { margin:0; font-size:var(--fs-meta); color:var(--muted); }
.cq-lbl { text-transform:uppercase; letter-spacing:.06em; font-size:var(--fs-micro); margin-right:6px; }
p.cq-ideas a { color:var(--accent); text-decoration:none; font-weight:600; }
p.cq-ideas a:hover { text-decoration:underline; }
p.cq-lead { color:var(--muted); margin:4px 0 12px; }
.cq-answers { display:grid; gap:10px; grid-template-columns:1fr; margin:8px 0 4px; }
a.cq-ans { display:block; text-decoration:none; color:var(--ink); border:var(--border-hairline) solid var(--rule);
border-left:var(--border-accent-bar) solid var(--accent); border-radius:0 var(--radius-code) var(--radius-code) 0;
padding:10px 14px; background:var(--panel); transition:border-color .12s, background .12s; }
a.cq-ans:hover { border-color:var(--accent); background:var(--accent-tint); }
a.cq-ans b { display:block; font-size:var(--fs-card-body); margin-bottom:2px; }
a.cq-ans span { display:block; font-size:var(--fs-meta); color:var(--muted); }
@media (min-width:760px){ .cq-answers { grid-template-columns:repeat(3,1fr); } }
/* Resource pages (talks.html / writings.html) — a sparse list: title, muted meta line, links. */
.res-lead { color:var(--muted); max-width:60ch; }
.res-list { display:flex; flex-direction:column; gap:1.4rem; margin-top:1.6rem; }
.res-item { border-top:1px solid var(--rule); padding-top:1.1rem; }
.res-item .res-title { font-size:var(--fs-card-body); margin:0 0 .2rem; line-height:1.3; }
.res-meta { color:var(--muted); font-size:var(--fs-meta); margin:0 0 .35rem; }
.res-links { margin:0; }
.res-links a { color:var(--accent); text-decoration:none; font-weight:600; }
.res-links a:hover { text-decoration:underline; }
/* ============================================================================================
THE BIG-IDEAS LANDING — a projection of book-models/landing-big-ideas.json (Option 3, "the
argument"). Every colour/size references a design token (the Umber-Monograph :root, inlined via
FONT_CSS). Landing-only styles; the census + prose pages use PAGE_CSS. --line aliases --rule. */
/* ---- shared chrome: title, nav pills, lead prose, dividers -------------------------------- */
.book-h1 { font-weight:700; margin:6px 0 2px; }
.book-sub { color:var(--accent); font-weight:700; font-size:var(--fs-body); letter-spacing:.01em; margin:0 0 12px; }
/* An explicit 3-column grid realises the intended two-rows-of-three deterministically — flex-wrap left
the sixth cell (GitHub) orphaned on its own row at mid widths (~1100px). Capped + centred so it stays
3x2 on wide screens; drops to 2 columns, then 1, as the viewport narrows. */
.nav-grid { display:grid; grid-template-columns:repeat(3, minmax(0,1fr)); gap:9px;
max-width:940px; margin:0 auto 22px; }
@media (max-width:600px){ .nav-grid { grid-template-columns:repeat(2, minmax(0,1fr)); } }
@media (max-width:380px){ .nav-grid { grid-template-columns:1fr; } }
.nav-grid .ng-cell { display:flex; flex-direction:column; justify-content:center; gap:1px;
border:1.6px solid var(--rule); border-radius:10px; padding:7px 13px; background:var(--paper);
text-decoration:none; color:var(--ink); transition:border-color .12s, background .12s; }
.nav-grid .ng-cell:hover { border-color:var(--accent); background:var(--accent-tint); }
.nav-grid .ng-t { font-size:var(--fs-meta); font-weight:700; color:var(--link); letter-spacing:-.01em; }
.nav-grid .ng-t svg { fill:currentColor; }
.nav-grid .ng-s { font-size:var(--fs-micro); color:var(--muted); line-height:1.25; }
.nav-grid .ng-book { border-color:var(--accent); background:var(--accent-tint); }
.nav-grid .ng-book .ng-t { color:var(--accent); }
.theory-glance { max-width:780px; margin:10px auto 2px; text-align:center; }
.theory-glance .tg-fig { margin:0 auto; min-width:0; }
.theory-glance .tg-fig svg { max-width:100%; height:auto; }
.theory-glance .tg-line { font-size:var(--fs-meta); color:var(--muted); line-height:1.5; margin:9px auto 0; max-width:64ch; }
.theory-glance .tg-line a { color:var(--accent); font-weight:600; text-decoration:none; white-space:nowrap; }
.theory-glance .tg-line a:hover { text-decoration:underline; }
.site-foot .book-foot { white-space:nowrap; font-weight:600; }
.lead, .m-lead { max-width:74ch; font-size:var(--fs-body); color:var(--ink); line-height:1.66; margin:0 0 13px; }
.m-lead .term, .lead .term { font-weight:700; }
.hero-cta { color:var(--accent); font-weight:600; text-decoration:none; }
.hero-cta:hover { text-decoration:underline; }
hr.sep { border:none; border-top:1px solid var(--line); margin:30px 0 24px; }
hr.i-sep { border:none; border-top:1px solid var(--rule); margin:34px 0; }
figure { margin:0; min-width:0; }
.m-cap { display:block; font-size:var(--fs-meta); color:var(--muted); line-height:1.55; margin:11px 2px 0; text-align:center; }
.m-cap b { color:var(--muted); }
/* ---- HERO band: a prose-led lead that flows straight into the Big Idea 1 churn flowchart ---- */
.hero-band { margin:8px 0 6px; }
/* Content width — one shared max across hero / sections / one-page so the page is a CONSISTENT width
throughout, not narrow above-and-below a wide middle. Prose stays readable via inner caps
(.m-lead 82ch, .sec-lead 44rem); the card grids and the one-page figure use the extra width. */
.hero-lead { max-width:min(1680px, 100%); margin:0 auto; text-align:center; }
.hero-lead .book-h1 { margin-top:0; }
.hero-lead .book-sub { margin-left:auto; margin-right:auto; }
/* A wider, larger lead paragraph — a comfortable reading measure that better matches the full-width
lead figure beneath it (author feedback: the intro read too narrow + too small on a wide display). */
.hero-lead .m-lead { max-width:min(1120px, 100%); font-size:20px; line-height:1.6; margin-left:auto; margin-right:auto; }
/* The Main Question leads the hero — promoted from the Big-Ideas model's core_question node so the
landing opens on the problem the whole argument answers (an _core_question_audit CQ4 pins it here). */
.hero-question { max-width:26ch; margin:0 auto 8px; font-family:var(--font-display); font-weight:700;
font-size:30px; line-height:1.22; color:var(--ink); }
.hero-q-link { margin:0 auto 12px; font-size:var(--fs-meta); }
.hero-q-link a { color:var(--accent); text-decoration:none; font-weight:600; }
.hero-q-link a:hover { text-decoration:underline; }
/* ---- the Big-Ideas argument ---------------------------------------------------------------- */
.big-ideas { margin:20px 0 4px; }
.s-kick { font-size:var(--fs-micro); text-transform:uppercase; letter-spacing:.08em; font-weight:800;
color:var(--accent); margin:0 0 3px; }
.s-title { font-family:var(--font-display); font-size:var(--fs-card-title); font-weight:var(--display-weight);
letter-spacing:-.01em; line-height:1.22; margin:0 0 8px; border-top:none; padding-top:0; }
.s-claim { font-size:var(--fs-body); color:var(--muted); line-height:1.62; margin:0 0 10px; max-width:66ch; }
.s-claim b, .s-claim .term { color:var(--ink); }
.s-fig svg { display:block; width:100%; height:auto; }
/* Big Idea 1 - the landing's lead visual: the churn flowchart full-width beneath the hero lead. */
.idea-hero { margin:22px 0 0; }
.idea-hero .ih-fig svg { display:block; width:100%; height:auto; max-width:1080px; margin:0 auto; }
.idea-hero .ih-words { max-width:84ch; margin:16px auto 0; text-align:center; }
.idea-hero .ih-words .s-claim { max-width:84ch; margin-left:auto; margin-right:auto; }
/* A Big-Idea band: figure beside words, sides alternate for rhythm. */
.slot { display:grid; grid-template-columns:minmax(0,1.2fr) minmax(0,1fr); gap:16px 42px; align-items:center; }
.slot.figright .s-fig { order:2; }
.slot .s-words { min-width:0; }
/* Big Ideas 5 & 6 — enlarged figures (author feedback: too small to read beside the words). Reuse the
idea-hero full-width idiom: the figure spans the content column, the words center beneath it, so a
wide diagram is legible without zooming. */
.slot.slot-bigfig { display:block; }
.slot.slot-bigfig .s-fig { margin:0 0 18px; }
.slot.slot-bigfig .s-fig svg { max-width:1080px; margin:0 auto; }
.slot.slot-bigfig .s-words { max-width:80ch; margin:0 auto; text-align:center; }
.slot.slot-bigfig .s-claim { max-width:74ch; margin-left:auto; margin-right:auto; }
/* The matched thesis PAIR - two half-width cells, figure above words. */
.pair { display:grid; grid-template-columns:1fr 1fr; gap:30px; }
.pair .p-cell { border-top:3px solid var(--box-thesis-rule); padding-top:14px; scroll-margin-top:16px; }
.pair .p-cell .s-kick { color:var(--box-thesis-rule); }
.pair .p-cell .s-fig { margin:0 0 12px; }
/* The two theses are a CAUSAL pair, not equal columns: Modeling creates surfaces for Alignment. The
labeled connector between the cells carries that relationship; it is aria-hidden decorative (the prose
in the two cells carries the causal claim for a screen reader). */
.pair-causal { grid-template-columns:1fr auto 1fr; align-items:center; gap:1rem; }
.pair-causal .pair-arrow { align-self:center; text-align:center; font-variant:small-caps; letter-spacing:.04em;
font-size:.8rem; color:var(--muted); white-space:nowrap; }
/* ---- the closing: conclusion + four ways in ----------------------------------------------- */
/* A wide, fluid footer block (author feedback: the closing read too narrow on a wide display). It uses
the top-text measure and flows to more of the page; the four ways-in buttons ride a 1×4 grid on wide
screens and collapse to 2-up then a single stacked column as the viewport narrows. */
.closing { max-width:1200px; margin:8px auto 8px; text-align:center; }
.close-lead { font-size:var(--fs-body); line-height:var(--lh-body); color:var(--ink); margin:0 auto 20px; max-width:82ch; }
.close-ways { display:grid; grid-template-columns:repeat(4, minmax(0,1fr)); gap:12px; align-items:stretch; }
.close-btn { display:block; border:1.6px solid var(--rule); border-top:4px solid var(--accent); border-radius:12px;
background:var(--paper); padding:14px 20px; text-decoration:none; color:var(--ink); min-width:0;
transition:border-color .12s, background .12s; }
.close-btn:hover { border-color:var(--accent); background:var(--accent-tint); }
.close-btn .cb-t { display:block; font-family:var(--font-display); font-size:var(--fs-card-title); font-weight:600; }
.close-btn .cb-s { display:block; font-size:var(--fs-micro); color:var(--muted); margin-top:3px; }
/* ---- the quiet back-matter vocabulary/definitions/outcomes reference strip ----------------- */
.reference { margin:26px 0 6px; }
.deep-h { font-family:var(--font-display); font-size:var(--fs-section); margin:0 0 4px; border-top:none; padding-top:0; letter-spacing:-.01em; }
.deep-note { font-size:var(--fs-meta); color:var(--muted); font-style:italic; margin:0 0 14px; max-width:74ch; }
.deep-grp { margin:0 0 14px; }
.deep-lbl { display:block; font-size:var(--fs-micro); text-transform:uppercase; letter-spacing:.06em;
font-weight:800; color:var(--muted); margin:0 0 7px; }
.deep-row { display:flex; flex-wrap:wrap; gap:9px; }
.deep-item { display:block; border:1.4px solid var(--rule); border-radius:9px; background:var(--panel);
padding:8px 13px; text-decoration:none; color:var(--ink); font-size:var(--fs-meta); line-height:1.3;
scroll-margin-top:16px; }
.deep-item b { display:block; font-size:var(--fs-meta); font-weight:700; color:var(--ink); }
.deep-item span { display:block; color:var(--muted); font-size:var(--fs-micro); margin-top:1px; }
.deep-item:hover { border-color:var(--accent); background:var(--accent-tint); }
/* the `structured` adjective, held out of the four peers as a rider — blue def-box tint ties it to §2.1 */
.def-rider-lead { display:block; width:100%; font-size:var(--fs-micro); font-style:italic; color:var(--muted); margin:8px 0 0; }
.deep-item.def-rider { border-style:dashed; border-color:var(--box-def-rule); }
/* The learning-outcomes list (projected from book-models/outcomes.json), tiered Program → Module. */
.oc-tier { margin:0 0 4px; }
.oc-tier-h { font-size:var(--fs-micro); text-transform:uppercase; letter-spacing:.05em; font-weight:800;
color:var(--muted); margin:10px 0 1px; }
.oc-unit small { display:block; font-weight:600; text-transform:none; letter-spacing:0; color:var(--muted); }
ul.oc-list { margin:4px 0 4px; padding:0; list-style:none; }
ul.oc-list li.oc-row { display:grid; grid-template-columns:auto auto 1fr auto; gap:10px; align-items:baseline;
font-size:var(--fs-meta); color:var(--ink); line-height:1.5; padding:7px 0;
border-top:1px solid var(--line); scroll-margin-top:16px; }
ul.oc-list li.oc-row:first-child { border-top:none; }
.oc-row .oc-unit { font-weight:800; color:var(--accent); white-space:nowrap; font-size:var(--fs-micro); }
.oc-row .oc-bloom { font-size:var(--fs-micro); text-transform:uppercase; letter-spacing:.05em; font-weight:800;
color:var(--paper); background:var(--accent); border-radius:4px; padding:1px 6px; white-space:nowrap; }
.oc-row .oc-stmt { color:var(--ink); }
.oc-row .oc-more { color:var(--link); white-space:nowrap; font-size:var(--fs-micro); text-decoration:none; }
/* ---- the bottom book CTA ------------------------------------------------------------------- */
.book-cta { text-align:center; margin:20px 0 30px; }
.book-cta a { color:var(--accent); font-size:var(--fs-body); text-decoration:none; }
.book-cta a:hover { text-decoration:underline; }
.book-cta-pdf { display:inline-block; margin-left:14px; }
.book-cta-pdf a { font-size:var(--fs-meta); font-weight:600; color:var(--accent); text-decoration:none;
padding:3px 10px; border:1px solid var(--rule); border-radius:6px; }
.book-cta-pdf a:hover { border-color:var(--accent); background:var(--panel); text-decoration:none; }
/* ---- responsive: stack every two-column primitive at <= 900px ----------------------------- */
@media (max-width:900px){
.slot { grid-template-columns:1fr; gap:14px; }
.slot.figright .s-fig { order:0; }
.slot .s-fig { max-width:640px; margin:0 auto; }
.pair { grid-template-columns:1fr; gap:22px; }
.pair-causal { grid-template-columns:1fr; }
.pair-causal .pair-arrow { transform:rotate(90deg); }
.close-ways { grid-template-columns:1fr 1fr; }
}
@media (max-width:640px){
ul.oc-list li.oc-row { grid-template-columns:1fr; gap:3px; }
.close-ways { grid-template-columns:1fr; }
}
/* ── website-v3 landing (260825): grouped nav · hero · one-page figure · six claims · sections ── */
.v3-nav { display:flex; align-items:center; justify-content:space-between; flex-wrap:wrap; gap:12px;
padding:14px 0; border-bottom:1px solid var(--line); margin-bottom:8px; }
.v3-nav-home { font-family:var(--font-display); font-weight:700; font-size:1.15rem; color:var(--ink);
text-decoration:none; letter-spacing:0.02em; display:inline-flex; align-items:center; gap:0.35rem; }
.v3-nav-hat { flex:0 0 auto; }
/* Duality Lab logo — single-sourced from the absolute https://davisjam.github.io/images/logo.svg (one
file on the personal-site Pages origin; no vendored copy — see the no-logo-file control in
tests/html.py). Absolute (not root-absolute) so it resolves in EVERY context — local preview, a
future MAGE custom domain, even a file:// open — which a root-absolute /images/logo.svg does not
(it 404s wherever this site is served in isolation). Cost: a hardcoded host, which breaks only if the
personal-site domain moves — the more stable anchor than MAGE's origin. */
.v3-nav-lab { flex:0 0 auto; display:inline-flex; align-items:center; margin-right:14px; }
.v3-nav-lab img { display:block; height:38px; width:auto; }
.v3-nav-lab--crumb { margin: 0 0 10px; }
.v3-nav-lab--crumb img { height: 25px; }
.v3-nav-groups { display:flex; align-items:center; gap:20px; flex-wrap:wrap; }
.v3-nav-item { color:var(--muted); text-decoration:none; font-weight:600; font-size:0.95rem; }
.v3-nav-item:hover, .v3-nav-item:focus { color:var(--accent); }
.v3-nav-gh { display:inline-flex; color:var(--muted); }
.v3-nav-gh:hover { color:var(--accent); }
.v3-nav-gh svg { width:1.2em; height:1.2em; }
.v3-hero { max-width:44rem; margin:2.6rem auto 1rem; text-align:center; }
.v3-eyebrow { color:var(--accent); font-weight:700; font-size:1rem; margin:0 0 0.6rem; }
.v3-title { font-family:var(--font-display); font-size:2.4rem; line-height:1.1; margin:0 0 0.5rem;
color:var(--ink); text-wrap:balance; }
.v3-subtitle { font-family:var(--font-display); font-style:italic; font-size:1.2rem; line-height:1.3;
color:var(--muted); margin:0 0 1.2rem; text-wrap:balance; }
.v3-lead { font-size:1.08rem; line-height:1.6; color:var(--ink); margin:0 auto 1rem; text-align:left;
max-width:40rem; }
.v3-hero-btns, .v3-btn-row { display:flex; flex-wrap:wrap; gap:12px; justify-content:center; margin:1.4rem 0; }
.v3-btn { display:inline-block; padding:0.6rem 1.2rem; border-radius:6px; font-weight:600;
text-decoration:none; font-size:0.98rem; border:1px solid transparent; }
.v3-btn-primary { background:var(--accent); color:var(--paper); }
.v3-btn-primary:hover { filter:brightness(0.94); }
.v3-btn-secondary { background:transparent; color:var(--accent); border-color:var(--accent); }
.v3-btn-secondary:hover { background:var(--accent-tint); }
.v3-btn-text { background:transparent; color:var(--accent); padding:0.6rem 0.4rem; }
.v3-btn-text:hover { text-decoration:underline; }
.sec-h { font-family:var(--font-display); font-size:1.5rem; color:var(--ink); margin:0 0 0.5rem; }
.sec-lead { font-size:1.02rem; line-height:1.55; color:var(--muted); max-width:44rem; margin:0 0 1.2rem; }
ol.v3-books { max-width:44rem; margin:0 0 1.4rem 1.2rem; padding:0; line-height:1.55; }
ol.v3-books li { margin:0 0 .5rem; }
ol.v3-books a { color:var(--accent); text-decoration:none; font-weight:600; }
ol.v3-books a:hover { text-decoration:underline; }
/* MAGE in One Page — heading + intro sit at a readable measure; the body is an info graphic that becomes
a two-column region (the six claims beside a sticky conceptual map) at the desktop breakpoint below. */
.onepage { max-width:56rem; margin:2.8rem auto; text-align:center; }
.onepage .sec-lead { margin-left:auto; margin-right:auto; text-align:left; max-width:44rem; }
.onepage-fig { margin:1.4rem 0 0; }
.onepage-fig svg { width:100%; height:auto; max-width:900px; display:block; margin:0 auto; }
.claims-col { max-width:44rem; margin:2.4rem auto 0; text-align:left; }
.claim { border-top:1px solid var(--line); padding:1.8rem 0 0.4rem; }
.claim-kick { color:var(--accent); font-weight:700; text-transform:uppercase; letter-spacing:0.06em;
font-size:0.82rem; margin:0 0 0.4rem; }
.claim-h { font-family:var(--font-display); font-size:1.35rem; line-height:1.25; color:var(--ink);
margin:0 0 0.7rem; text-wrap:balance; }
.claim-body p { font-size:1.03rem; line-height:1.62; color:var(--ink); margin:0 0 0.7rem; }
.claim-region { font-size:0.88rem; color:var(--muted); font-style:italic; }
.claim-explore a { color:var(--accent); font-weight:600; text-decoration:none; }
.claim-explore a:hover { text-decoration:underline; }
.claims-summary { margin:2rem 0 0; padding:1.2rem 1.4rem; background:var(--accent-tint); border-radius:6px;
font-weight:600; color:var(--ink); font-size:1.05rem; line-height:1.5; }
/* Desktop: the one-page section widens into a two-column info graphic — the six claims beside a sticky
conceptual map that stays in view as the reader works down the claims. The map is a dense diagram, so it
is sized by VIEWPORT HEIGHT (~80vh, capped) rather than column width: it auto-fits the screen so the
whole diagram is visible while pinned, and its column auto-sizes to that height (the claims take the
remaining width, floored at a comfortable measure). A viewport-width cap keeps it from crowding the
claims on short-and-wide screens. Below this breakpoint the body is a single column in DOM order
(intro → figure → claims), so the mobile reading sequence is preserved without duplicated markup.
Breakpoint set by visual testing: below it the figure would be squeezed under ~490px, so the awkward
1000–1119px range collapses to a single readable column rather than two cramped ones. */
@media (min-width: 1120px) {
.onepage { max-width:min(1680px, 100%); }
.onepage-body { display:grid; grid-template-columns:minmax(22rem, 1fr) auto;
gap:clamp(2rem, 4vw, 3.6rem); align-items:start; margin-top:2rem; text-align:left; }
.onepage-body .claims-col { grid-column:1; grid-row:1; max-width:none; margin:0; }
.onepage-body .onepage-fig { grid-column:2; grid-row:1; position:sticky; top:1.6rem; margin:0;
align-self:start; }
.onepage-body .onepage-fig svg { height:min(80vh, 900px); width:auto; max-width:min(56vw, 100%);
display:block; }
.onepage-body .claim:first-child { border-top:none; padding-top:0.2rem; }
}
.v3-sec { max-width:min(1680px, 100%); margin:3rem auto; }
.v3-cards { display:grid; gap:18px; margin-top:1rem; }
.v3-cards-3 { grid-template-columns:repeat(3,1fr); }
.v3-cards-2 { grid-template-columns:repeat(2,1fr); }
.v3-card { border:1px solid var(--line); border-radius:8px; padding:1.2rem; background:var(--panel); }
.v3-card--thumb { display:flex; gap:1rem; align-items:flex-start; }
.v3-card-thumb { flex:0 0 92px; width:92px; height:auto; border:1px solid var(--line); border-radius:4px; background:#fff; }
.v3-card-thumb--icon { height:92px; padding:16px; box-sizing:border-box; object-fit:contain; }
.v3-card-thumb-link { display:contents; }
.v3-card-content { min-width:0; }
.v3-cards-sm .v3-card { background:transparent; }
.v3-card-kick { color:var(--muted); font-size:0.82rem; text-transform:uppercase; letter-spacing:0.05em;
font-weight:700; margin:0 0 0.3rem; }
.v3-card-h { font-family:var(--font-display); font-size:1.15rem; color:var(--ink); margin:0 0 0.5rem; }
.v3-card-body { font-size:0.96rem; line-height:1.5; color:var(--ink); margin:0 0 0.8rem; }
.v3-card-links a { color:var(--accent); font-weight:600; text-decoration:none; font-size:0.92rem; }
.v3-card-links a:hover { text-decoration:underline; }
.v3-cta { max-width:44rem; margin:3.4rem auto 2rem; text-align:center; padding-top:2rem;
border-top:1px solid var(--line); }
.v3-cta .sec-lead { margin-left:auto; margin-right:auto; }
@media (max-width:820px){
.v3-cards-3, .v3-cards-2 { grid-template-columns:1fr; }
.v3-title { font-size:2rem; }
}
@media (max-width:520px){
.v3-nav { flex-direction:column; align-items:flex-start; }
.v3-hero-btns, .v3-btn-row { justify-content:flex-start; }
}
/* GENERATED by book-models/design_tokens.py from design-tokens.json — do not hand-edit. */
:root {
--ink: #1c1917;
--paper: #fdfcf9;
--panel: #f6f4ef;
--rule: #e4e0d8;
--muted: #57534e;
--accent: #9a3f12;
--accent-tint: #faf1e6;
--link: #9a3f12;
--code-bg: #f3efe7;
--box-thesis-rule: #15803d;
--box-thesis-fill: #eef7ee;
--box-def-rule: #1f6fae;
--box-def-fill: #eef4fb;
--box-inset-rule: #7c6bb0;
--box-inset-fill: #f2effb;
--diagram-churn: #b23b3b;
--diagram-churn-fill: #fbeaea;
--diagram-fleet: #2f5169;
--diagram-fleet-fill: #e7edf3;
--diagram-governed: #1f7a4d;
--diagram-governed-fill: #e3f0e7;
--diagram-trust: #155c38;
--diagram-trust-fill: #eef7f0;
--font-display: "Source Serif 4", Charter, "IBM Plex Serif", Georgia, serif;
--font-body: "Source Sans 3", -apple-system, BlinkMacSystemFont, "Segoe UI", sans-serif;
--font-mono: "IBM Plex Mono", "SF Mono", Menlo, Consolas, monospace;
--display-weight: 600;
--display-tracking: -0.01em;
--fs-micro: 12px;
--fs-meta: 14px;
--fs-card-body: 16px;
--fs-body: 18px;
--fs-card-title: 22px;
--fs-section: 28px;
--fs-thesis-title: 36px;
--fs-display: 52px;
--lh-body: 1.62;
--lh-display: 1.08;
--lh-card: 1.5;
--space-0: 4px;
--space-1: 8px;
--space-2: 16px;
--space-3: 24px;
--space-4: 32px;
--space-5: 48px;
--space-6: 64px;
--radius-card: 10px;
--radius-chip: 4px;
--radius-code: 6px;
--border-hairline: 1px;
--border-accent-bar: 3px;
--border-box-rule: 4px;
}
body { font-family:var(--font-body); }
h1,h2,h3,h4,.walk-h,.section-h { font-family:var(--font-display); font-weight:var(--display-weight); }
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<header class="v3-hero">
<p class="v3-eyebrow">How do we safely grant autonomy to commodity intelligence?</p>
<h1 class="v3-title">Model-Based Agentic Engineering</h1>
<p class="v3-subtitle">A Case Study in Software Engineering</p>
<p class="v3-lead">Model-Based Agentic Engineering (MAGE) is an engineering methodology for environments in which AI agents perform substantial implementation work.</p>
<p class="v3-lead">MAGE has two principles that apply throughout the work. Modeling makes important engineering knowledge and intent explicit. Alignment makes important requirements effective by checking the work against them.</p>
<p class="v3-lead">MAGE does not assume that engineers get everything right the first time. Software engineering routinely proceeds from incomplete, imprecise, and evolving requirements, and autonomous work exposes gaps that were not apparent in advance. MAGE therefore also emphasizes governance conversion: changing the engineering environment so that future work can inherit what was learned rather than rediscover it.</p>
<div class="v3-hero-btns">
<a class="v3-btn v3-btn-primary" href="book/mage-book/index.html">Read the book</a>
<a class="v3-btn v3-btn-secondary" href="#onepage">Learn MAGE</a>
<a class="v3-btn v3-btn-text" href="quick-start.html">Try MAGE →</a>
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</header>
<section class="onepage" id="onepage" aria-labelledby="onepage-h">
<h2 id="onepage-h" class="sec-h">MAGE in One Page</h2>
<p class="sec-lead">Software engineering has always had to manage more complexity than any one person can hold in mind. AI agents face the same problem, but they change its economics: we can now produce implementation work much faster than we can grow the engineering knowledge and judgment needed to guide it.</p>
<p class="sec-lead">MAGE responds by making important knowledge explicit, checking autonomous work against important requirements, and improving the engineering environment as experience reveals what was missing.</p>
<p class="sec-lead">The six claims below summarize the argument.</p>
<div class="onepage-body">
<figure class="onepage-fig"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 1000 1020"
role="img" aria-labelledby="mage-one-page-mmTitle mage-one-page-mmDesc"
font-family="'Source Sans 3', -apple-system, 'Segoe UI', sans-serif">
<title id="mage-one-page-mmTitle">The MAGE method — scale creates the enduring reasoning problem; commodity intelligence changes its economics; Modeling and Alignment turn engineering effort into capital rather than churn.</title>
<desc id="mage-one-page-mmDesc">A single centre spine reads top to bottom: Scale and Finite reasoning combined in one
node, a New engineering imbalance, the Modeling Principle, the Alignment Principle, the Governed
Engineering Environment, and Engineering Capital. Scale is the enduring source of a finite reasoning
horizon: large systems exceed any one reasoner, so relevant state must be abstracted or reconstructed,
which makes judgment scarce at scale. Commodity intelligence enters laterally at the New
Engineering Imbalance, making implementation abundant while judgment, representation, evidence, and
enforcement stay scarce; it changes the economics of the imbalance but does not cause the reasoning
horizon. The Modeling Principle answers the imbalance by making consequential knowledge and intent
explicit at useful scales, which exposes those properties for analysis and reaches
the Alignment Principle, where selected obligations are enforced through constraints, sensors, validators,
and gates. Passing through Alignment the spine enters the Governed Engineering Environment — the
synthesis of both principles — and effort compounds as Engineering Capital when future value exceeds its
carrying cost. A single subordinate governance-conversion loop feeds recurring failures and judgment
back to adapt the models and controls, strengthening the environment. Two dashed failure paths lead
to Engineering Churn: weak representation is repaid as reconstruction, weak enforcement as repeated
adjudication. A light dotted long-range rail marks capital reopening the reasoning problem as scope
grows.</desc>
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(1) Two feedback rails are intentional curves — the light dotted long-range rail (capital .. finite,
"greater scope reopens the reasoning problem") and the Governance-conversion loop
(gee -> semantic-surface). Bending them to right angles would clutter the figure they anchor.
(2) The two dashed CHURN failure rails (modeling .. churn, alignment .. churn) deliberately SIDE-EXIT
the spine. Churn is a LATERAL failure attractor in the bottom-right corner, not a spine child;
leaving the box on its right side IS the grammar ("you left the success spine and fell off to the
side"), the rail's label rides the horizontal run, and both rails converge on the single drop into
Churn's top. A bottom flow-exit detour is impossible cleanly: the spine (Alignment, GEE, Capital,
the semantic-surface label) fully occupies the space below Modeling/Alignment, so a bottom route
would have to snake around the whole spine and would break the two rails' shared convergence. The
straight-vertical spine edges stay orthogonal by hand; opting the figure out only skips edges that
are already correct or deliberately not. -->
<!-- =============== LONG-RANGE RAIL (drawn first, sits beneath everything) =============== -->
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<text x="500" y="186" text-anchor="middle" font-size="20" fill="#57534e">or reconstructed</text>
<!-- edge: scale-finite -> imbalance -->
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<!-- New engineering imbalance (neutral problem frame; commodity enters here laterally) -->
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<text x="500" y="356" text-anchor="middle" font-size="19" fill="#57534e">evidence · enforcement stay scarce</text>
<!-- edge: imbalance -> modeling -->
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<!-- Modeling Principle -->
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<text x="500" y="488" text-anchor="middle" font-size="20" fill="#57534e">+ intent explicit at useful scales</text>
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<text x="500" y="690" text-anchor="middle" font-size="20" fill="#57534e">constraints · sensors ·</text>
<text x="500" y="714" text-anchor="middle" font-size="20" fill="#57534e">validators · gates</text>
<!-- edge: alignment -> gee -->
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<!-- edge: gee -> capital -->
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<!-- Engineering Capital (positive outcome — green) -->
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<text x="500" y="964" text-anchor="middle" font-size="20" font-style="italic" fill="#155c38">effort compounds over time</text>
<text x="500" y="988" text-anchor="middle" font-size="20" font-style="italic" fill="#57534e">can depreciate · maintain or retire</text>
<!-- =============== LATERAL INPUT: commodity intelligence =============== -->
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<text x="155" y="332" text-anchor="middle" font-size="20" fill="#57534e">and abundant relative</text>
<text x="155" y="356" text-anchor="middle" font-size="20" fill="#57534e">to judgment</text>
<!-- edge: commodity -> imbalance -->
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<text x="310" y="236" text-anchor="middle" font-size="20" font-weight="600" fill="#2f5169">economics</text>
<!-- =============== GOVERNANCE CONVERSION: ONE subordinate feedback loop =============== -->
<!-- edge: gee -> semantic-surface -->
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<text x="92" y="588" font-size="20" font-weight="700" fill="#57534e">Governance conversion</text>
<text x="92" y="612" font-size="20" fill="#78716c">recurring failures + judgment</text>
<text x="92" y="636" font-size="20" fill="#78716c">adapt the models + controls</text>
<!-- =============== CHURN: the failure attractor, reached by two dashed paths =============== -->
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<text x="840" y="922" text-anchor="middle" font-size="20" font-style="italic" fill="#b23b3b">the same work</text>
<text x="840" y="946" text-anchor="middle" font-size="20" font-style="italic" fill="#b23b3b">gets paid for again</text>
<!-- weak representation -> reconstruction (leaves the Modeling side) -->
<!-- edge: modeling .. churn -->
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<text x="658" y="410" font-size="20" font-weight="600" fill="#b23b3b">weak representation →</text>
<text x="658" y="432" font-size="20" font-weight="600" fill="#b23b3b">reconstruction</text>
<!-- weak enforcement -> repeated adjudication (leaves the Alignment side) -->
<!-- edge: alignment .. churn -->
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<text x="658" y="606" font-size="20" font-weight="600" fill="#b23b3b">weak enforcement →</text>
<text x="658" y="628" font-size="20" font-weight="600" fill="#b23b3b">repeated adjudication</text>
</svg></figure>
<section class="claims-col" aria-label="The six claims of MAGE">
<article class="claim" id="claim-1">
<p class="claim-kick">Claim 1</p>
<div class="claim-body">
<h2 class="claim-h">We can now write a lot more code, but our engineering know-how hasn't grown nearly as fast.</h2>
<p>As implementation gets cheaper, deciding what to build, understanding the system, and determining whether the result is acceptable become relatively more important.</p>
<p class="claim-region">In the figure: Commodity intelligence → New engineering imbalance</p>
</div>
</article>
<article class="claim" id="claim-2">
<p class="claim-kick">Claim 2</p>
<div class="claim-body">
<h2 class="claim-h">Large systems are too complex for any one person or agent to understand in full.</h2>
<p>Software engineering deals with scale through abstraction: preserving the information needed for a particular task while leaving unnecessary detail out. Without useful abstractions, humans and agents must repeatedly reconstruct important knowledge from code and other lower-level artifacts.</p>
<p class="claim-region">In the figure: Scale × finite reasoning → New engineering imbalance</p>
</div>
</article>
<article class="claim" id="claim-3">
<p class="claim-kick">Claim 3</p>
<div class="claim-body">
<h2 class="claim-h">Models make important knowledge easier to reason about and reuse.</h2>
<p>A model is a concise representation of some aspect of a system, chosen for an engineering purpose. It may be incomplete or approximate, but it must be useful for that purpose. Models let humans and agents reason about important properties without repeatedly reconstructing them from lower-level artifacts.</p>
<p class="claim-region">In the figure: Modeling — the green region</p>
<p class="claim-explore"><a href="book/mage-book/2.1-context-is-the-first-modeling-problem.html">Explore Modeling →</a></p>
</div>
</article>
<article class="claim" id="claim-4">
<p class="claim-kick">Claim 4</p>
<div class="claim-body">
<h2 class="claim-h">Important requirements should actually affect the work.</h2>
<p>It is not enough to tell an agent what matters. We must also have probabilistic and deterministic means of checking the agent's output against those requirements.</p>
<p class="claim-region">In the figure: Alignment — the orange region</p>
<p class="claim-explore"><a href="book/mage-book/3.3-constraints-sensors-validators-gates.html">Explore Alignment →</a></p>
</div>
</article>
<article class="claim" id="claim-5">
<p class="claim-kick">Claim 5</p>
<div class="claim-body">
<h2 class="claim-h">Recurring failures should improve the engineering system.</h2>
<p>When failures recur or engineers repeatedly supply the same judgment, fixing the immediate result is not enough. Governance conversion changes the engineering environment so that future work can inherit what was learned rather than rediscover it.</p>
<p>When those changes continue to save work or prevent failures, they become engineering capital. When the same reconstruction and judgment must instead be repeated, MAGE calls that engineering churn.</p>
<p class="claim-region">In the figure: Governance conversion; Engineering Capital vs. Engineering Churn</p>
<p class="claim-explore"><a href="book/mage-book/3.4-governance-conversion.html">Explore the MAGE method →</a></p>
</div>
</article>
<article class="claim" id="claim-6">
<p class="claim-kick">Claim 6</p>
<div class="claim-body">
<h2 class="claim-h">When writing code gets easier, more of the hard work moves to figuring out what to build, whether it is right, and how to keep it that way.</h2>
<p>Agents may increasingly help with that work too. The enduring engineering responsibility is deciding what matters, what evidence is sufficient, what can be delegated, and what tradeoffs are acceptable.</p>
<p class="claim-region">In the figure: the whole figure</p>
</div>
</article>
<p class="claims-summary">Model what matters. Check the work against what matters. Learn from failures. Build what you learn back into the engineering environment.</p>
</section>
</div>
</section>
<section class="v3-sec" id="resources" aria-labelledby="resources-h">
<h2 id="resources-h" class="sec-h">Resources</h2>
<p class="sec-lead">MAGE is developed through books, research, teaching materials, and talks.</p>
<p class="sec-lead">Two books develop complementary parts of the argument:</p>
<ol class="v3-books">
<li><a href="book/mage-book/index.html"><strong>MAGE</strong></a> — a theory of engineering in the age of commodity intelligence. It asks how software engineering changes when implementation intelligence becomes abundant.</li>
<li><a href="book/se-handbook/index.html"><strong>The Software Engineering Handbook</strong></a> — a judgment and decision-making approach to software engineering. It makes explicit the engineering underneath MAGE: the decisions engineers make about requirements, specification, architecture, design, validation, and the other activities of software engineering.</li>
</ol>
<p class="sec-lead">MAGE asks what changes when agents can do much of the work. The Handbook develops the engineering judgment that engineers need to remain in control over the resulting systems.</p>
<div class="v3-cards v3-cards-2">
<article class="v3-card v3-card--thumb">
<a class="v3-card-thumb-link" href="book/mage-book/index.html"><img class="v3-card-thumb" src="book/assets/cover-thumb.png" alt="MAGE book cover" loading="lazy"></a>
<div class="v3-card-content">
<h3 class="v3-card-h">MAGE</h3>
<p class="v3-card-body">Engineering reliable software with commodity intelligence: the theory, practice, evidence, and implications.</p>
<p class="v3-card-links"><a href="book/mage-book/index.html">Read the book →</a> · <a href="book/mage-book/mage-book.pdf">Download PDF →</a></p>
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</article>
<article class="v3-card v3-card--thumb">
<a class="v3-card-thumb-link" href="book/se-handbook/index.html"><img class="v3-card-thumb" src="book/assets/handbook-cover-thumb.png" alt="Software Engineering Handbook cover" loading="lazy"></a>
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<h3 class="v3-card-h">The Software Engineering Handbook</h3>
<p class="v3-card-body">The engineering judgment underneath MAGE: what engineers decide, why those decisions matter, and how evidence supports them.</p>
<p class="v3-card-links"><a href="book/se-handbook/index.html">Read the handbook →</a> · <a href="book/se-handbook/software-engineering-handbook.pdf">Download PDF →</a></p>
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</article>
<article class="v3-card v3-card--thumb">
<a class="v3-card-thumb-link" href="teach/index.html"><img class="v3-card-thumb v3-card-thumb--icon" src="resources/teach/wizard-hat.svg" alt="Wizard-hat icon for Teach with MAGE" loading="lazy"></a>
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<h3 class="v3-card-h">Teach with MAGE</h3>
<p class="v3-card-body">Course and teaching materials for instructors and students.</p>
<p class="v3-card-links"><a href="teach/index.html">Open Teach with MAGE →</a></p>
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</article>
<article class="v3-card v3-card--thumb">
<a class="v3-card-thumb-link" href="writings.html"><img class="v3-card-thumb" src="resources/writings/mage-paper-thumb.png" alt="First page of the Model-Based Agentic Software Engineering paper" loading="lazy"></a>
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<h3 class="v3-card-h">Research & talks</h3>
<p class="v3-card-body">Papers, articles, and presentation materials developing, motivating, and evaluating MAGE.</p>
<p class="v3-card-links"><a href="writings.html">Browse writings →</a> · <a href="talks.html">Browse talks →</a></p>
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<section class="v3-sec" id="use" aria-labelledby="use-h">
<h2 id="use-h" class="sec-h">Using MAGE</h2>
<p class="sec-lead">MAGE is a methodology, not a prescribed toolchain. These resources provide practical ways to apply it to an existing engineering system.</p>
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<h3 class="v3-card-h">QuickStart</h3>
<p class="v3-card-body">Install the MAGE skills and start identifying knowledge that is repeatedly reconstructed, judgments that are repeatedly made, and requirements that are not reliably checked.</p>
<p class="v3-card-links"><a href="quick-start.html">Start with MAGE →</a></p>
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<article class="v3-card">
<h3 class="v3-card-h">The Method</h3>
<p class="v3-card-body">Apply Modeling and Alignment to the work, then use recurring failures and repeated judgment to improve the engineering environment.</p>
<p class="v3-card-links"><a href="apply-mage.html">Apply the method →</a></p>
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<h3 class="v3-card-h">Model Workbench</h3>
<p class="v3-card-body">Open a MAGE model system in the browser, check it against the semantics, and run saved questions over it. The page runs entirely on your machine: no account, no install, and the model is never uploaded.</p>
<p class="v3-card-links"><a href="workbench/index.html">Open the workbench →</a></p>
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</section>
<section class="v3-sec" id="evidence" aria-labelledby="evidence-h">
<h2 id="evidence-h" class="sec-h">Evidence</h2>
<p class="sec-lead">MAGE began with one production system studied in depth and was then compared with independently described industrial systems. The originating case shows how the ideas emerged and evolved over time; the industrial cases show other ways similar engineering problems have been addressed.</p>
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<h3 class="v3-card-h">DocAble — depth</h3>
<p class="v3-card-body">The originating production system and the longitudinal record from which the early MAGE concepts emerged.</p>
<p class="v3-card-links"><a href="book/mage-book/5.2-inside-docables-software-factory.html">Explore the originating case →</a></p>
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<h3 class="v3-card-h">Industrial cases — breadth</h3>
<p class="v3-card-body">Independent accounts from Cloudflare, Spotify, Shopify, Siemens, Zenseact, Uber, and GitLab, examined through the MAGE framework for recurring patterns, differences, and limits.</p>
<p class="v3-card-links"><a href="industry-case-studies.html">Explore the industrial cases →</a></p>
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</section>
<section class="v3-sec" id="research" aria-labelledby="research-h">
<h2 id="research-h" class="sec-h">Research</h2>
<p class="sec-lead">MAGE is also a research program. It raises questions about what engineering knowledge should be made explicit, which requirements can be reliably checked, how engineering environments should improve over time, when those improvements are worth their cost, and where human judgment remains necessary.</p>
<p class="v3-btn-row">
<a class="v3-btn v3-btn-secondary" href="theory.html">Read the theory →</a>
<a class="v3-btn v3-btn-secondary" href="book/mage-book/6.4-research-agenda.html">Explore the research agenda →</a>
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</section>
<footer class="site-foot"><span class="foot-line foot-copy">© <a href="https://davisjam.github.io">James C. Davis</a>, 2026–present · Assistant Professor, ECE @ Purdue</span><span class="foot-line foot-links"><a class="gh" href="https://github.com/davisjam/model-based-agentic-software-engineering"><svg viewBox="0 0 16 16" width="15" height="15" aria-hidden="true" style="vertical-align:-2px;fill:currentColor"><path d="M8 0C3.58 0 0 3.58 0 8c0 3.54 2.29 6.53 5.47 7.59.4.07.55-.17.55-.38 0-.19-.01-.82-.01-1.49-2.01.37-2.53-.49-2.69-.94-.09-.23-.48-.94-.82-1.13-.28-.15-.68-.52-.01-.53.63-.01 1.08.58 1.23.82.72 1.21 1.87.87 2.33.66.07-.52.28-.87.51-1.07-1.78-.2-3.64-.89-3.64-3.95 0-.87.31-1.59.82-2.15-.08-.2-.36-1.02.08-2.12 0 0 .67-.21 2.2.82.64-.18 1.32-.27 2-.27.68 0 1.36.09 2 .27 1.53-1.04 2.2-.82 2.2-.82.44 1.1.16 1.92.08 2.12.51.56.82 1.27.82 2.15 0 3.07-1.87 3.75-3.65 3.95.29.25.54.73.54 1.48 0 1.07-.01 1.93-.01 2.2 0 .21.15.46.55.38A8.01 8.01 0 0016 8c0-4.42-3.58-8-8-8z"></path></svg> model-based-agentic-software-engineering</a> · <a class="book-foot" href="book/mage-book/index.html">Read the book →</a> · <a class="book-foot" href="book/mage-book/mage-book.pdf"><svg viewBox="0 0 16 16" width="14" height="14" aria-hidden="true" style="vertical-align:-2px;fill:currentColor"><path d="M4 0a1 1 0 0 0-1 1v14a1 1 0 0 0 1 1h9a1 1 0 0 0 1-1V4.5L9.5 0H4zm5 1.5L12.5 5H9V1.5zM4.9 8.2h1c.5 0 .9.4.9.9s-.4.9-.9.9h-.4v1.1h-.6V8.2zm.6.5v.8h.3c.2 0 .3-.1.3-.4s-.1-.4-.3-.4h-.3zm2 .0h.9c.6 0 1 .5 1 1.4s-.4 1.5-1 1.5h-.9V8.7zm.6.5v1.8h.2c.3 0 .5-.3.5-.9s-.2-.9-.5-.9h-.2zm2.3-.5h1.7v.5h-1.1v.6h1v.5h-1v1.2h-.6V8.7z"></path></svg> PDF</a></span><span class="foot-line foot-nsf">This work was supported by the U.S. National Science Foundation under grants #2541917, #2452533, and #2343596.</span></footer>
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