AI-Assisted Work Audit Log

This file tracks work completed with AI assistance in this repository.

Purpose

Per AI_POLICY.md, this audit log provides:

  • Transparency about AI-assisted contributions

  • Traceability of work sessions

  • Review checkpoints for human developers

  • Historical record of AI tool usage

Format

Each entry should include:

  1. Date and time of work session

  2. AI assistant(s) used

  3. Scope of work (issues, features, fixes)

  4. Files modified

  5. Human review status

Audit Entries

YYYY-MM-DD: [Brief Description]

AI Assistant: [Claude Code / Gemini / Copilot / etc.] Session Duration: [Approximate time] Branch: [feature-branch-name or main if infrastructure repo]

Scope of Work:

  • Issue #XXX: [Description]

  • Issue #YYY: [Description]

Files Modified:

path/to/file1.py
path/to/file2.md
path/to/file3.sh

Summary: [1-2 paragraph description of what was accomplished]

Testing:

  • Unit tests pass

  • Integration tests pass

  • Manual testing completed

  • Documentation updated

Human Review:

  • Reviewed By: [Developer name]

  • Review Date: YYYY-MM-DD

  • Status: [Approved / Changes Requested / Pending]

  • Notes: [Any concerns, improvements, or follow-up needed]

Example Entry (Template)

AI Assistant: Claude Code (Sonnet 4.5) Session Duration: ~2 hours Branch: fix-serialization-bug

Scope of Work:

  • Issue #123: Fix FlatBuffers serialization for WAMP messages

  • Issue #124: Add test coverage for edge cases

Files Modified:

autobahn/wamp/serializer.py
autobahn/wamp/test/test_serializer.py
docs/serialization.rst

Summary: Fixed a bug in FlatBuffers serialization where nested message fields were not properly handling null values. Added comprehensive test coverage for all WAMP message types with various edge cases (empty fields, max values, special chars). Updated documentation to reflect new behavior.

Testing:

  • Unit tests pass (529 passed, 0 failed)

  • Integration tests pass

  • Manual testing completed

  • Documentation updated

Human Review:

  • Reviewed By: Tobias Oberstein

  • Review Date: 2025-11-24

  • Status: Approved

  • Notes: Excellent test coverage. Consider adding performance benchmarks in future work.

Guidelines

For AI Assistants

When creating audit entries:

  1. Be factual and specific

  2. Include all modified files

  3. Document testing performed

  4. Mark review as “Pending” initially

  5. Never mark your own work as “Approved”

For Human Reviewers

When reviewing AI-assisted work:

  1. Verify all tests pass

  2. Check code quality and patterns

  3. Ensure documentation is accurate

  4. Validate security implications

  5. Update review status and add notes

Retention

  • Keep audit entries indefinitely

  • Older entries provide historical context

  • Useful for understanding project evolution

  • Helps onboard new contributors

Notes

  • This template is maintained in wamp-ai repository

  • Copy to project root as .audit/WORK.md or similar

  • Can be customized per-project if needed

  • Consider automating some fields (date, files, branch) via tooling