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vikasnair76/multi-agent-project

Multi-agent AI system for automated code review, static analysis, performance evaluation, and AI-assisted code synthesis.

Python GitHub ↗
★ 0
stars
75
AI関連スコア
50
個人開発度
0
AIツール痕跡

SUMMARY AI要約 by gpt-5-mini

A backend system for automated code review of Python and JavaScript using a multi-agent LLM pipeline. It’s aimed at developers and AI coding assistants (backend/frontend engineers, evaluators) who need systematic, explainable code reviews and automated fixes. Key features: - LangGraph-orchestrated agents: three parallel specialist agents (Security, Performance, Maintainability) using Claude Haiku, grounded with static-analysis output (Semgrep, Bandit, Ruff, ESLint) via ReAct-style prompts. - Synthesizer agent (Claude Sonnet) merges, deduplicates, prioritizes findings and generates fixed code. - FastAPI server exposing POST /review (JSON) and POST /stream (SSE) for incremental updates; React+Vite frontend consumes streams. - Robust tooling: language detection, subprocess tool runner with timeouts, output normalizer, Pydantic models, and an evaluation suite (ground truth, metrics). File layout and command details included.

DETECTED 検出されたAIスタック

このRepoのdescription / GitHub topics / READMEのAI要約に出現したAI関連キーワードをカテゴリ別に表示。各バッジは該当カテゴリの詳細ランキングへリンクします。

🧩 AIフレームワーク (1)
LangGraph
🤖 LLMモデル (1)
Claude
🌐 Web/アプリフレームワーク (2)
FastAPI React

使用言語(バイト数比)

CSS
1.5%
HTML
0.5%
Python
54.2%
JavaScript
2.4%
TypeScript
41.4%

オーナー情報

アカウント
vikasnair76
タイプ
User
フォロワー
2

日付

GitHub作成日 2026-05-14
最終Push 2026-05-14
当サイト初検出 2026-05-14
最終取得 2026-05-16 18:19

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