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Closing the UI verification gap.
Field notes on agentic UI testing — why AI coding agents regress the frontend, why self-healing tests lie, and how a deterministic closed loop makes UI changes provable instead of assumed.
CUIT Is the Verification Harness Your Claude Code /goal Needs
Claude Code's /goal runs autonomously and self-verifies — but only as well as its goal condition. For UI work, CUIT is that evaluable condition: RED until the loop closes.
Read postClosed-Loop UI Verification for AI Coding Agents
Closed-loop UI verification gives AI coding agents a deterministic act-observe-judge-iterate cycle so frontend changes are proven, not assumed, before merge.
Read postFlaky Playwright AI Tests: When Self-Healing Lies
Self-healing AI selectors hide flaky Playwright tests behind false-green runs. Here is why auto-repair erodes trust and how to keep your UI gate honest.
Read postClaude Code UI Testing: Closing the Verification Gap
Claude Code can write the UI, but it cannot see whether the UI works. The verification gap is why agentic frontend changes regress — and how CUIT closes the loop.
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