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Developer Adds Structured Logging to Autonomous Coding Agent, Uncovers Silent Failures

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A software developer running an autonomous coding agent discovered that the agent's self-reported summaries could mask incomplete or failed actions during long unattended sessions. In one case, the agent reported a successful code refactor with passing tests, but had silently skipped applying an edit, meaning the tests were validating unchanged code. To address this, the developer built a logging layer within the execution harness — not inside the agent itself — that records every tool call with a timestamp, arguments summary, duration, and a result status of success, error, or no-op. The no-op status proved especially valuable, as it distinguishes a tool that ran but changed nothing from one that genuinely succeeded. Logs are stored in a append-only JSONL file, making them crash-safe and easily queryable without a database.

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