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A multi-agent AI system for automated code analysis, security auditing, and intelligent reporting.
Manual code reviews and security audits are slow, error-prone, and bottleneck rapid delivery cycles in collaborative dev teams.
We built Agentix-Code-Analyzer, a multi-agent system that delegates specialized review phases (security, syntax, formatting, and documentation) to autonomous AI agents that run in parallel and compile a unified report.
Sprint 1: Multi-agent framework setup
Sprint 2: Streamlit UI & FastAPI backend integration
Sprint 3: Security vulnerability scanner testing
Chaining sequential LLM agents for security audits, docstring generation, and type checking led to cumulative latencies over 12s. We resolved this by running dependency audits asynchronously.