Projects in SolapurProjects in Solapur🛡️ CodeAegis AI
Production-Grade Multi-Agent Code Reviewer & Security Intelligence Platform
CodeAegis AI is a production-grade multi-agent code analysis platform that automatically reviews source code and Git diffs across four critical engineering dimensions: Security, Architecture, Performance, and Testability.
The platform combines Python AST-based static analysis with LLM-powered multi-agent orchestration to identify potential vulnerabilities, architectural issues, performance bottlenecks, code-quality problems, and testing gaps.
Instead of returning a generic AI-generated review, CodeAegis uses specialized analysis agents to evaluate code from different engineering perspectives and consolidate their findings into a unified assessment.*
🔑Key Features
⁕ Multi-Agent Code Review — Specialized agents analyze security, architecture, performance, and testability independently.
⁕ Security Intelligence — Detects suspicious patterns and potential security vulnerabilities using static analysis and AI reasoning.
⁕ AST-Based Analysis — Parses Python source code structurally for reliable static analysis beyond simple text matching.
⁕ Git Diff Analysis — Focuses reviews on newly introduced or modified code.
⁕ Health Scoring — Generates an overall code health assessment based on multiple analysis dimensions.
⁕ Inline Recommendations — Provides actionable feedback tied directly to problematic code.
⁕ AI-Powered Refactoring — Generates improved code fixes that developers can review and apply.
⁕ Automated Testing — Includes a pytest-based test suite for validating core functionality and API behavior.
⚙️Technology Stack
⁕ Backend: FastAPI, Uvicorn, Pydantic, Jinja2
⁕ AI & Analysis: LLM-based agent orchestration, Python AST static analysis, Git diff analysis
⁕ Testing: pytest, HTTPX
⁕ Frontend: HTML5, CSS3, JavaScript (ES6+), Font Awesome, Google Fonts
💭Engineering Focus
The project was designed around a practical developer workflow: analyze → identify → explain → score → fix.
The goal is to make AI-assisted code review more structured, actionable, and engineering-focused by combining deterministic static analysis with the reasoning capabilities of specialized AI agents.
