Source record

Published by martinfowler.com (Exploring Gen AI series, incl. Böckeler) (T1 source). The original is at https://martinfowler.com/articles/sensors-for-coding-agents.html.

Pipeline notes

The summary and note below are generated by the signal pipeline — they are Beyond Desk’s reading, not quotations from the source.

A walkthrough by Birgitta Böckeler on using computational sensors—test suites, ESLint, and static analysis—as feedback mechanisms for AI coding agents. Building on her earlier harness-engineering model, it focuses on keeping AI-generated codebases maintainable by catching internal-quality regressions before human review.

Firsthand framework for guarding code quality in agent-driven workflows. The sensor/harness mental model is a concrete addition to anyone deploying coding agents on real codebases.

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