[KongchangAI]
Product

Docket

A tool that generates a per-commit evidence record for code produced by AI coding agents. It captures the intent, context, tests, and validation results of each commit as auditable documentation linked to the Git commit history, thereby improving the traceability and trustworthiness of AI-generated code.

Timeline (last 90 days)

Sep 13

Docket is a tool that creates a per-commit evidence record for code written by AI agents.

Unverified50%
Sep 13

Docket generates a corresponding evidence document for every commit produced by an agent, which can include the intent of the code change, the context it relied upon, the tests and checks executed, and the verification results.

Unverified50%
Sep 13

Docket binds evidence records to Git's commit history.

Unverified50%
Sep 13

Docket does not attempt to replace CI/CD or code review, but instead acts as an additional layer of recording mechanism.

Unverified50%
Sep 13

Docket's approach is similar to SBOM or the SLSA framework in the software supply chain security space, but answers which agent generated a commit, under what context, and through what verification steps.

Unverified50%
Sep 13

Docket's discussion on Hacker News had low engagement, with 8 points and 1 comment.

Expired50%
Sep 13

Docket is still in an early stage, and its actual effectiveness, integration cost, and adoption remain to be further verified.

Expired50%

All Facts (5)

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