diff --git a/plugins/nemo-experimentalist/src/nemo_experimentalist_plugin/experimentalist/components/coder.py b/plugins/nemo-experimentalist/src/nemo_experimentalist_plugin/experimentalist/components/coder.py
index ab3a3620e0..d4463ccd6e 100644
--- a/plugins/nemo-experimentalist/src/nemo_experimentalist_plugin/experimentalist/components/coder.py
+++ b/plugins/nemo-experimentalist/src/nemo_experimentalist_plugin/experimentalist/components/coder.py
@@ -51,6 +51,11 @@ class CodeEditBuilderConfig(BaseModel):
         default=2,
         description="Max LLM repair iterations inside integration_check before giving up on a candidate.",
     )
+    max_architecture_doc_iterations: int = Field(
+        default=100,
+        gt=0,
+        description="Max CodeAct iterations allowed to write architecture.md. Raise it for agents with many source files.",
+    )
     model_catalog_path: Path | None = Field(
         default=None,
         description="Optional YAML model catalog path overriding the packaged assets/models.yaml.",
@@ -578,6 +583,11 @@ async def run(self, dataset: Dataset) -> None:
     """
 
 
+def _architecture_doc_codeact(max_iterations: int) -> CodeActConfig:
+    """Bound one architecture-doc generation, which reads source through slow shell work."""
+    return CodeActConfig(max_iterations=max_iterations, cell_timeout=3600.0)
+
+
 # Keeps its own Evaluator rather than using ctx.evaluate: its smoke checks run against an
 # artifact that is deliberately not yet a Candidate, and ctx.evaluate exists to associate a
 # result with one. An internal check has nothing to associate and must not be recorded
@@ -1041,11 +1051,32 @@ async def run_smoke_eval(
             options=smoke_options,
         )
 
+    async def create_architecture_doc(
+        self, workdir: Path, source_path: str | None = None, entrypoint: str | None = None
+    ) -> None:
+        """Update (or, only if absent, create) architecture.md for the given agent.
+
+        Args:
+            workdir: The agent directory to document.
+            source_path: Directory holding the agent source, relative to the agent directory.
+            entrypoint: File the evaluation harness invokes, relative to the agent directory.
+
+        """
+        # A @strategy config is fixed when the class is defined, but how many iterations
+        # documenting an agent takes scales with the source this builder was handed.
+        codeact = _architecture_doc_codeact(self._config.max_architecture_doc_iterations)
+        await self._create_architecture_doc(
+            workdir,
+            source_path=source_path,
+            entrypoint=entrypoint,
+            _strategy=CodeActStrategy(config=codeact),  # ty: ignore[unknown-argument]
+        )
+
     @strategy(
-        CodeActStrategy(config=CodeActConfig(max_iterations=50, cell_timeout=3600.0)),
+        CodeActStrategy(config=_architecture_doc_codeact(CodeEditBuilderConfig().max_architecture_doc_iterations)),
         llm=lambda self: self._architecture_model,
     )
-    async def create_architecture_doc(
+    async def _create_architecture_doc(
         self, workdir: Path, source_path: str | None = None, entrypoint: str | None = None
     ) -> None:
         """Update (or, only if absent, create) architecture.md for the given agent.
diff --git a/plugins/nemo-experimentalist/src/nemo_experimentalist_plugin/skills/nemo-experimentalist/SKILL.md b/plugins/nemo-experimentalist/src/nemo_experimentalist_plugin/skills/nemo-experimentalist/SKILL.md
index 0cf2c1c9b1..f684021fba 100644
--- a/plugins/nemo-experimentalist/src/nemo_experimentalist_plugin/skills/nemo-experimentalist/SKILL.md
+++ b/plugins/nemo-experimentalist/src/nemo_experimentalist_plugin/skills/nemo-experimentalist/SKILL.md
@@ -283,6 +283,13 @@ eval_author:
   max_traces: 3
 ```
 
+`builder_config.max_architecture_doc_iterations` is how many iterations the
+builder can use to write `architecture.md`, and it defaults to `100`. It is
+separate from the evaluation budget above, but each additional iteration adds
+model usage and run time to that step. Increase it when a run stops with
+`Generation failed after 100 iterations (max_iterations=100)`. An agent that has
+many source files needs more iterations.
+
 ### Create a low-cost smoke dataset
 
 When the full dataset is expensive, create small **copied** train and
diff --git a/plugins/nemo-experimentalist/tests/experimentalist/test_tools.py b/plugins/nemo-experimentalist/tests/experimentalist/test_tools.py
index 946c59e5f1..6a229b89a1 100644
--- a/plugins/nemo-experimentalist/tests/experimentalist/test_tools.py
+++ b/plugins/nemo-experimentalist/tests/experimentalist/test_tools.py
@@ -1,16 +1,30 @@
 # SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 
+import json
 from pathlib import Path
 from typing import cast
 
+import pytest
 from nemo_experimentalist_plugin.experimentalist.components.coder import CodeEditBuilder, CodeEditBuilderConfig
 from nemo_experimentalist_plugin.experimentalist.components.holdout_utils import BLOCKED_MESSAGE
 from nemo_experimentalist_plugin.experimentalist.components.tools import GuardedShellTools
 from nemo_platform_plugin.nooa_model_client import ConfiguredModelClients, ConfiguredModelRefs, activate_model_clients
 from nooa.agentdoc import pformat
+from nooa.errors import GenerationError
 from nooa.tools import ShellResult
-from nooa.unifiedllm import CompletionClient, FakeLLMClient
+from nooa.unifiedllm import CompletionClient, FakeLLMClient, LLMResponse, ToolCall
+
+
+def _exec_response(code: str) -> LLMResponse:
+    """A scripted LLM turn that drives CodeAct's ``execute_python`` tool with ``code``."""
+    return LLMResponse(
+        raw_response=None,
+        content="",
+        finish_reason="tool_calls",
+        assistant_message={"role": "assistant", "content": ""},
+        tool_calls=[ToolCall(id="call_exec", name="execute_python", arguments=json.dumps({"code": code}))],
+    )
 
 
 async def test_guarded_shell_tools_runs_allowed_commands(tmp_path):
@@ -65,6 +79,20 @@ def test_coder_uses_default_model_for_architecture_docs(tmp_path: Path) -> None:
     assert coder._architecture_model is default
 
 
+async def test_architecture_doc_stops_at_the_configured_iteration_limit(tmp_path: Path) -> None:
+    """The configured limit, not the one fixed on the @strategy decorator, must bound the run."""
+    assert CodeEditBuilderConfig().max_architecture_doc_iterations == 100, "the documented default"
+
+    # Each scripted turn runs a no-op cell instead of returning a result, so the only way
+    # out is exhausting the limit. A turn past the limit would report a larger count.
+    never_finishes = FakeLLMClient(scripted_responses=[_exec_response("x = 1") for _ in range(4)])
+    builder = CodeEditBuilder(workspace=tmp_path, config=CodeEditBuilderConfig(max_architecture_doc_iterations=3))
+    builder._architecture_model = never_finishes
+
+    with pytest.raises(GenerationError, match=r"after 3 iterations \(max_iterations=3\)"):
+        await builder.create_architecture_doc(tmp_path)
+
+
 async def test_coder_lists_agent_mutation_models_from_catalog(tmp_path: Path) -> None:
     catalog = tmp_path / "models.yaml"
     catalog.write_text(