EmbeddingGemma 2: an open, lightweight multimodal embedding model
deepmind.google·6d ago
AI Engineering
Hacker News·29d ago·5 min read
Docket – Per-commit evidence records for agent-written code
TL;DR
Docket is a tool that captures the implementation journey of coding agents, creating per-commit evidence records for code changes. This allows reviewers to focus on areas lacking verification, enhancing code review processes.
✦ Why It Matters
Implement Docket in your code review process to enhance verification and focus on critical changes.
Key Takeaways
- Integrate Docket to capture AI agent decision-making processes.
- Use evidence density metrics to assess code reliability.
- Ensure all commits include a record of the agent's work.
- Maintain privacy by storing records locally in the repository.
How It Works
Docket captures the coding agent's journey by recording the task, intent, and attempts made during code generation. It generates a per-hunk evidence record that accompanies each commit, allowing reviewers to see the rationale behind code changes.
The tool integrates seamlessly with Git, adding metadata to commits without altering the commit history.