Gabriel Spencer-Harper argues that faster code generationCode generation uses AI or another automated system to create source code from instructions, examples, schemas, or higher-level specifications. can shift the bottleneck to review and verificationCode review examines proposed source changes to assess their correctness, clarity and suitability before or around integration.. He presents Meticulous, the company he co-founded, as an approach to frontend regression checkingAI regression testing reruns preserved cases to detect whether a model or agent update has broken behavior that previously worked..
The demonstration records user flows in non-production environments and replays a selected subset against changes, comparing screenshots for human or agent review. He describes mocked network interactionsA test double is a substitute for a real component used to control or observe behavior during a test. and browser determinism as ways to limit test interference and flakiness.
Spencer-Harper explains how code coverage can guide selection of recorded workflows. His claims of near-exhaustive verification and product performance are presented as the vendor’s account rather than independent proof.
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