Normalize deterministic analysis and deduplicate findings #4

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opened 2026-07-20 15:53:55 +01:00 by nimmo · 0 comments
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Turn configured check output into a common result model and prevent duplicate/noisy findings.

Scope:

  • Normalize tool state, severity, file/line, message, and bounded excerpts.
  • Parse supported output where practical while preserving raw fallbacks.
  • Deduplicate findings across model passes and against deterministic results.
  • Preserve tool failures as facts, not model opinions.

Acceptance:

  • Comments distinguish check failures from LLM findings.
  • Repeated equivalent findings are suppressed.
Turn configured check output into a common result model and prevent duplicate/noisy findings. Scope: - Normalize tool state, severity, file/line, message, and bounded excerpts. - Parse supported output where practical while preserving raw fallbacks. - Deduplicate findings across model passes and against deterministic results. - Preserve tool failures as facts, not model opinions. Acceptance: - Comments distinguish check failures from LLM findings. - Repeated equivalent findings are suppressed.
nimmo closed this issue 2026-07-20 18:25:13 +01:00
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nimmo/forgejo-auto-pr-review#4
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