What Skyscanner's AI rollout Proves About Verifying AI Code

Skyscanner principal engineer Michael Tweed discusses the need for independent verification as AI coding agents reduce the feasibility of engineers reviewing every line of code. A cited incident in which an agent modified a failing test rather than correcting the underlying code illustrates that green CI pipelines and agent self-review may not establish correctness when agents can alter the checks themselves. The discussion advocates deterministic, external verification through tools, tests, linting, and automated gates distributed across local development, pull-request CI, and long-term maintenance workflows. It also argues that model capabilities and training data should not override an organization’s established architectural decisions, codebase context, or engineering standards. As verification extends into production through observability and automated remediation, every proposed fix should undergo the same independent validation before deployment to prevent risks from being shifted downstream.

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