Comparison · FeelGoot vs static analysis

FeelGoot vs static analysis: intent and evidence, not only code patterns.

Static analysis finds code patterns. FeelGoot checks AI coding agent completion evidence, intent alignment, fake-green tests, and acceptance risk.

Direct answer: Static analysis inspects code for predefined patterns. FeelGoot inspects the relationship between an AI agent’s task, code changes, test evidence, shortcuts, and completion claim.

Both are useful

Static analysis is valuable for known code smells, security issues, type errors, and policy violations. It should remain part of the pipeline.

Agent verification addresses a different failure class: the code can be syntactically acceptable and still fail the requested task.

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Where static analysis stops

Static analysis typically does not know the user’s original request, non-goals, acceptance criteria, or whether tests were constructed to fake success.

FeelGoot focuses on that missing context layer.

Best practice

Use static analysis, tests, security scanners, and FeelGoot together. The strongest pipeline combines code-level checks with evidence-level acceptance gates.

Direct answers.

Does FeelGoot replace static analysis?

No. Static analysis remains important. FeelGoot adds an agent-specific evidence and intent layer.

Can static analysis catch fake-green tests?

Sometimes it catches skipped tests or obvious patterns, but it usually does not judge whether the tests prove the original intent.

What is the main difference?

Static analysis checks code patterns; FeelGoot checks whether agent-created work is supported by credible evidence.

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