Stephen Chin and Cassandra Chin on Evidence for Pull Requests

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Stephen Chin and Cassandra Chin beside the headline PROVE THE PR on black.
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    Stephen Chin and Cassandra Chin discuss pull requests that contain inaccurate claims about what agents did. They explain why relying on compressed session context can make it difficult to reconstruct the evidence behind a change.

    Stephen Chin and Cassandra Chin walk through an example in which a draft incorrectly reports that checks passed. They propose collecting session traces and connecting commands, code and evidence before writing and reviewing the descriptionCode review examines proposed source changes to assess their correctness, clarity and suitability before or around integration..

    Stephen Chin and Cassandra Chin present their own benchmark comparisons and report lower token useEvaluation is the systematic assessment of a system's behaviour or results against explicit criteria. with a graph-based approach. Their results are specific to their tests and tool configuration rather than independent proof of a general improvement.

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    Stephen Chin and Cassandra Chin beside the headline PROVE THE PR on black. With WWW.ARTIFICIAL-INTELLIGENCE.VIDEO, 10 November 2026 and duration 23m 1s.

    Stephen Chin and Cassandra Chin describe a method for grounding AI-written pull requests in trace evidence.