AI-powered code reviews with Gemini and Context7. Catch bugs, security flaws, and get up-to-date API suggestions instantly.
Standard Large Language Models (LLMs) like ChatGPT or Gemini are incredibly powerful, but they have a "knowledge cutoff." This means they are often outdated when it comes to the latest documentation, breaking changes, and new API versions of libraries and frameworks.
Code Review Assistant bridges this gap by using Context7. We fetch live, up-to-date library documentation directly into the analysis phase, ensuring that your code reviews are accurate for the newest technical standards.
- Gemini AI Analysis: Deep code inspection for bugs, logic errors, and security vulnerabilities.
- Context7 Enhanced: Always-updated documentation awareness for 100+ libraries and frameworks.
- Premium UI:
- Stylish Finding Cards: Every issue is presented in a sleek, glassmorphism-style card.
- Clear Severity Levels: Instant visualization of
Critical,Major,Minor, andSuggestionissues. - Interactive Fixes: Get precise code suggestions that you can copy and implement immediately.
| Category | Technology |
|---|---|
| Framework | Next.js 16 (App Router) |
| Language | TypeScript 5 |
| UI Library | React 19 |
| Styling | Tailwind CSS 4 |
| AI/LLM | Google Gemini via @google/generative-ai |
| LLM Orchestration | LangChain |
| Documentation | Context7 for live library docs |
| State Management | TanStack Query (React Query) |
| UI Components | Lucide Icons |
| Validation | Zod 4 |
- Node.js: v18.18.0 or higher (required by Next.js 16)
- npm: v9.0.0 or higher (or yarn/pnpm)
| Key | Source | Purpose |
|---|---|---|
GOOGLE_API_KEY |
Google AI Studio | Powers Gemini AI code analysis |
CONTEXT7_API_KEY |
Context7 | Fetches live library documentation |
Demonstration of the analysis workspace and premium glassmorphism finding cards.
npm installCopy env_example.txt to .env.local and add your API keys:
cp env_example.txt .env.localThen edit .env.local:
GOOGLE_API_KEY=your_gemini_api_key_here
CONTEXT7_API_KEY=your_context7_api_key_herenpm run devOpen http://localhost:3000 in your browser.
npm run build
npm start