SimbaTech Hub Platform
An intelligent code review tool that uses LLMs to analyze pull requests, suggest improvements, and catch potential security vulnerabilities.
Overview
IntelliCode is a GitHub-integrated AI assistant that provides intelligent code reviews, catching issues human reviewers often miss while learning your team's coding standards.
Technology Stack
The Problem
Code reviews were taking 2-3 days on average, and 30% of production bugs were patterns that could have been caught in review. Senior engineers were spending 40% of their time reviewing.
The Approach
Built a RAG system that learns from your codebase and past reviews. The AI provides context-aware suggestions that match your team's coding standards and catches common anti-patterns.
The Solution
A GitHub App that automatically reviews PRs with human-like feedback, learning and improving from reviewer corrections over time.
Technical Implementation
LangChain for orchestration with custom retrieval over codebase embeddings. Fine-tuned prompts for different languages and frameworks. Async processing with FastAPI for handling webhook events. PostgreSQL for storing review history and learning patterns.
Results & Impact
Lessons Learned
- 1Context window management is crucial for useful code reviews
- 2AI suggestions need confidence scores to be trusted
- 3Integration UX matters more than model accuracy