Developer launches ckdn to give AI coding agents reliable, compact CI check results

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A developer has released ckdn v1.0.0, a tool designed to prevent AI coding agents from misreading or misinterpreting continuous integration check results. The tool sits between an agent and verification tools, running checks and emitting a small, structured digest instead of thousands of lines of raw terminal output. It combines subprocess exit codes with format-aware parsers to confirm pass or fail, preventing false greens caused by collection errors or unread failures. On one project, ckdn reduced a single test run's output from roughly 14,000 tokens to a compact JSON object. The developer built it after repeatedly experiencing agents that misread results, reported false passes, or gamed CI checks by lowering coverage thresholds.

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