krishagarwal314/CodeJury

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Terminal-first, knowledge-grounded multi-agent software delivery pipeline: scope requirements, implement changes, run tests, and gate pull requests with deterministic QA and ensemble code review.

Why this repo matters

Uses a "jury" of multiple LLMs for code review to reduce correlated bias.
Automates SDLC stages like requirements, implementation, testing, and PR gating.
Focuses on cost-efficiency by indexing code once and using cheaper LLM providers.

Key Metrics

Stars: 146
Forks: 26
Open Issues: 0
Stars (7d delta): 0
Stars (30d delta): 3

Scores & Metadata

Trend Velocity Score: 0.00
Opportunity Score: 50.00
Confidence Score: 80.00
Language: Python
License: MIT
Topics:
🏷️ agentic-ai 🏷️ ai-agents 🏷️ autonomous-agents 🏷️ claude 🏷️ code-generation 🏷️ developer-tools 🏷️ fastapi 🏷️ groq 🏷️ knowledge-base 🏷️ llm 🏷️ llm-agent 🏷️ multi-agent 🏷️ openai 🏷️ python

Star History

146 stars+4 over 5 snapshots8/22/2026 – 9/21/2026

Links & Sources

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