Overall Assessment
✅ Looks good

No unmitigated P0/P1 issues in the changed files. The diff is docs-only apart from a docstring whitespace fix, and I found one P3 informational documentation mismatch in the new local_linear page.

Executive Summary

• diff_diff/bacon.py is a formatting-only docstring change; no estimator logic, defaults, weighting, or inference behavior changed.
• The new profile docs match the actual public exports and the llms-autonomous.txt link wiring added in docs/conf.py.
• The new local_linear page covers the correct public symbols and points readers to the right HAD/nprobust methodology context.
• P3 informational: the local_linear overview implies broader standalone applicability than the public Phase 1b/1c wrappers actually expose.
• Review limitation: I could not rerun Sphinx or import-based tests here because sphinx and runtime deps such as numpy are not installed in this checkout.

Methodology

• Severity P3 — docs/api/local_linear.rst:L8-L18 says the components are usable “for any one-sided boundary local-linear regression problem with a strictly nonnegative running variable,” but the public mse_optimal_bandwidth and bias_corrected_local_linear wrappers are explicitly HAD-scoped and restricted to the documented Phase 1b/1c contract in diff_diff/local_linear.py:L695-L705, diff_diff/local_linear.py:L972-L980, and docs/methodology/REGISTRY.md:L2522-L2524.
  Impact: Minor documentation overstatement only; the implementation and lower-page autodoc remain correct, so this does not change behavior or methodology.
  Concrete fix: Narrow the overview sentence to distinguish the generic helpers (local_linear_fit, kernels, kernel moments) from the HAD-scoped public wrappers (mse_optimal_bandwidth, bias_corrected_local_linear).

Code Quality

• No findings.

Performance

• No findings.

Maintainability

• No findings.

Tech Debt

• No findings.

Security

• No findings.

Documentation/Tests

• No additional findings in the changed docs.
• Verification limitation: I could not rerun the Sphinx build or tests/test_doc_snippets.py in this environment because the checkout lacks sphinx and import-time dependencies such as numpy.

/ai-review

🔁 AI review rerun (requested by @igerber)

Head SHA: d81589e7133f0a417a74c6c8311ce18aa9f23d5a

Overall Assessment
✅ Looks good

Executive Summary

• No unmitigated P0/P1 findings in the changed files.
• The only source-code change is a docstring whitespace fix in diff_diff/bacon.py:L323-L333; no estimator logic, defaults, weighting, inference, or identification behavior changed.
• Re-review result: the prior P3 on docs/api/local_linear.rst has been addressed. The new scope split in docs/api/local_linear.rst:L13-L32 now matches the public-wrapper restrictions documented in diff_diff/local_linear.py:L683-L705, diff_diff/local_linear.py:L964-L980, and docs/methodology/REGISTRY.md:L2522-L2524.
• The new profiling docs accurately describe the public API and top-level re-exports in docs/api/profile.rst:L4-L28, diff_diff/profile.py:L1-L12, diff_diff/profile.py:L165-L206, and diff_diff/__init__.py:L253-L260, diff_diff/__init__.py:L505-L510.
• The docs wiring is coherent: docs/api/index.rst:L104-L115 and docs/api/index.rst:L262-L276 add discoverability, docs/conf.py:L74-L79 exposes llms-autonomous.txt, and docs/doc-deps.yaml:L405-L423 remains valid YAML.
• Validation limitation: I could not rerun import-based or pytest/Sphinx checks here because this environment lacks numpy and pytest.

Methodology

• No findings. The changed docs are consistent with the Methodology Registry and in-code local-linear docstrings; no undocumented methodological deviation was introduced.

Code Quality

• No findings.

Performance

• No findings.

Maintainability

• No findings.

Tech Debt

• No findings introduced.

Security

• No findings.

Documentation/Tests

• No findings. The new profile page and autonomous-guide link align with the existing guide accessor in docs/api/profile.rst:L11-L28, diff_diff/_guides_api.py:L7-L15, and docs/conf.py:L74-L79.
• Validation note: docs/doc-deps.yaml parses successfully, but I could not run tests/test_doc_snippets.py or an end-to-end import diff_diff smoke test in this environment because pytest is absent and numpy is not installed.