Make AI Reviewer Feedback Actionable

{
    "prompt": "Natural-language reviewer feedback often fails to trigger automated retries because semantic mismatch leaves repair models unaware of actual word-count shortfalls. **Quick solution:** ```typescript const wordCountRegex = /~?(\\d+)\\s+words/i; const match = (reviewerFeedback); const observedCount = match ? parseInt(match[1], 10) : null; ``` When you use structured output patterns, such as those detailed in the [Gemini structured outputs guide]( your generation schemas become parseable, but deterministic verification still requires robust handling of free-form text. Unstructured reviewer notes often bypass automated triggers, leaving your pipeline stalled. When configuring pull requests and [static analysis]( checks, developers frequently encounter strict pipeline rules similar to those addressed when configuring tools to [Make Sonarcloud Quality Gate Fail Github Actions]( requiring precise regex execution to satisfy quality gates. ## Why Natural-Language Reviewer Feedback Fails to Activate a Retry Reviewers frequently provide feedback in conversational phrases like \"prose word count is ~540 words.\" Rigid keyword matchers scanning for strict terms like \"too short\" or \"under-scoped\" will ignore these observations. Because the string lacks an explicit trigger keyword, the bounded retry loop receives no direct expansion instruction, treating the submission as acceptable despite failing the underlying length constraint. ## How the Retry Recovers Actual Prose Count To capture the measured length without confusing it with the requested target range, your parser must isolate the specific numeric token associated with the current draft. Instead of relying on a fragile global search or raw ``, use a targeted regular expression executed via `` to avoid common linter rules such as Sonar security or complexity flags. This guarantees you extract the exact observed token rather than accidentally pulling numbers from adjacent sentences or configuration references. ## Constructing Bounded Instructions with Observed and Target Counts Once the parser isolates the observed count, the repair",
    "model": "Claude 3.7 / GPT-4o",
    "aspect_ratio": "1:1",
    "category": "Coding Agents",
    "content_type": "coding_prompt",
    "surface": "agents_hub",
    "quality_score": 83,
    "provenance": "COMMUNITY_PROMPT"
}