Participant/rakesh.kolasanakota techm#28
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RakeshKolasanakota wants to merge 4 commits intonasscomAI:mainfrom
Open
Participant/rakesh.kolasanakota techm#28RakeshKolasanakota wants to merge 4 commits intonasscomAI:mainfrom
RakeshKolasanakota wants to merge 4 commits intonasscomAI:mainfrom
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…erity misses -> Enforced strict RICE rules in classifier.py, ensuring accurate category mapping and detection of urgent keywords
…> Replaced it with strict rule-based extraction to retain all clauses verbatim and updated the agent documentation
…to per-ward, per-category aggregation
…aive prompting -> Introduced strict single-source attribution along with a standardized refusal template
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👋 Hi there, participant! Thanks for joining our Vibe Coding Session! We're reviewing your PR for the 4 User Cases. Once your submission is validated and merged, you'll be awarded your completion badge! 🏆 Next Steps:
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UC-0A Fix Classification inaccuracies: AI classification gaps and severity misses -> enforced strict RICE rules in classifier.py, ensuring accurate category mapping and detection of urgent keywords.
UC-0B Fix Clause Omission : LLM missed multi-condition requirements -> Replaced it with strict rule-based extraction to retain all clauses verbatim and updated the agent documentation
UC-0C Fix Silent aggregation: Lacked enforcement scope -> Limited it to per-ward, per-category aggregation
UC-X Fix Cross-document blending and Condition dropping: Because of naive prompting → Introduced strict single-source attribution along with a standardized refusal template