Case Study — AI

AI Code Reviewer & Assistant

A developer tool integrated with GitHub Webhooks that automatically comments on pull requests, reviewing code style, security flaws, and performance bugs.

Project Overview

An AI coding assistant that plugs directly into developer pipelines. It intercepts GitHub Pull Request payloads, inspects file changes line-by-line, and utilizes the Google Gemini API to write review comments highlighting code smells, syntax issues, and potential SQL injection paths.

Key Features & Scope

GitHub integration with secure webhook signature validation

AI code feedback identifying memory leaks and logical bugs

Custom rule definitions tailoring review strictness to match company standards

Markdown response formatting featuring syntax-highlighted code recommendations

System Architecture

An Express server written in TypeScript. It parses Git diff format strings, requests feedback from Google Gemini, and makes updates to PR threads using the Octokit library.

Client InterfaceNext.js / React
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Backend CoreNode.js / Express
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Database NodeRedis Cache
Database: Redis Cache
Deployment: AWS Fargate (Docker)
98
Performance
99
Accessibility
100
Best Practices
100
SEO
Verified Production Metrics
Node.jsGitHub APIGoogle Gemini APITypeScriptExpressDocker

Keywords and concepts covered in this project case study:

AI Code Reviewer GitHubGemini API pull request assistantAutomated code reviewer webhookTypeScript developer pipeline tool

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