Observed arrival · 2026-09-26
Roundtable: AI code review with an audit trail
An open-source Python CLI coordinates multiple AI models through a structured code-change workflow, from proposal and critique to tests and verification.
- For
- Developers coordinating multi-model code changes
- Worth noticing
- Acceptance criteria are hashed before code is written; test runs strip API keys and preserve exit code and output.
Field notes
The workflow is divided into proposal, critique, revision, build, test, and verification; the Python orchestrator passes validated JSON between models rather than letting them converse directly. The page says it locks and hashes acceptance criteria before code exists, runs the configured test command with API keys stripped, and records exit code and output in SQLite. A dated example excerpt shows Claude and Grok disagreeing over whether zero and negative values are valid drawdowns.
Observed signals
Read the marks
Editorial observations of this landing page, not a rating.
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