diff --git a/README.md b/README.md index dd1986a..c5dab59 100644 --- a/README.md +++ b/README.md @@ -98,7 +98,7 @@ they work anywhere. ### Why use Ember? -Ember has the partnership framework built it. +Ember has the partnership framework built in. --- diff --git a/index.html b/index.html new file mode 100644 index 0000000..c82f583 --- /dev/null +++ b/index.html @@ -0,0 +1,594 @@ + + + + + + +Agentic DevOps — Partnership-first patterns for scaling with AI agents + + + + + + + + + + + + + + +
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+ Partnership-first patterns for AI agents +

Three paths to agents that learn.

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Agentic DevOps is for teams building with AI agents as collaborators, not automation. From CVE remediation skills to the feedback loop that makes every run start smarter.

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What persists when the model changes, the tools evolve, and the platform shifts? The feedback loop. The institutional memory. The partnership between humans and agents.

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+ $copilot plugin install ember@awesome-copilot + +
+ Find your path + + +
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Or point any agent at a skill file below. They're just markdown, so they work anywhere.

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Don't read docs. Load a skill.

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These aren't guides for you to read.

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They're skills for your agent to read. Load one, tell the agent what you're working on, and build together. Start with the one that sounds like your week.

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+ Start here + +
Before anything else
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The Partnership Framework

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Agents produce useful signals only when the interaction makes honesty safe. Without it, confidence is always 5 and what_was_hard is empty. Read this first.

+ Read the framework + + +
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"I have a CVE hitting my repos"
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build-cve-skill

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Pull your fix expertise into a skill a cold agent can execute across your whole fleet. Any language, any ecosystem.

+ Build a CVE skill + + +
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"I own the library / I write the advisory"
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build-agent-first-advisory

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Write documentation that IS the fix, agent-executable, so developers using your library never need a separate skill at all.

+ Write an advisory + + +
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"I inherited a skill, is it still current?"
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check-agent-drift

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An evidence-based audit across five dimensions that scores the drift and ranks the highest-leverage fixes. Model-agnostic, so it survives the next frontier move.

+ Audit for drift + + +
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"I want agents to learn from every session"
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Agent Signals

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The open protocol for capturing agent reasoning, self-assessment, and outcomes. Skills are the input, signals are the output. Together they close the loop.

+ Explore the protocol + + +
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"I'm the switchboard between too many tabs"
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The Workshop

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Run a room of agents on one shared bench, each with its own memory, so you direct a team instead of relaying between them.

+ Open the workshop + + +
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The pattern

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A CVE drops. The knowledge compounds.

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The skill is institutional memory. The signal is the feedback loop. Put them together and the system gets smarter with every run.

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1
A CVE drops. The clock starts across every affected repo.
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The developer who knows the fix writes a skill. 30 to 60 minutes, once.
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Test against one repo. Prove the pattern before it scales.
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Run across the fleet. The same expertise, applied everywhere at once.
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Humans review and merge. Judgment stays where it belongs.
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Agent signals capture what worked and what was hard. The struggle becomes data.
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The next run starts smarter. Every skill update includes what the agent learned.
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Retire when clean. The knowledge stays in the repo, not in someone's head.
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Skills Institutional memory

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When the developer who figured out the fix switches teams, the knowledge doesn't leave with them. It's a markdown file in a repo.

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Signals The feedback loop

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When the agent struggles with a pattern the skill doesn't cover, the signal captures it. The next update includes what the agent learned. The system compounds.

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What's here

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Everything in the repo.

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Skills to load, the signals protocol, the workshop, plus worked examples and reference reading.

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Getting started

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Install Ember, or bring your own agent.

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Ember ships with the partnership framework built in. But every skill here is plain markdown, so any agent can load one.

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+ $copilot plugin install ember@awesome-copilot + +
+ Meet Ember + + +
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Resources

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Talks, writing, and research.

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Talks

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Writing

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  • The Wow SignalOngoing experiments in human-AI co-creation, on Substack
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Research

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