ReviewLenzAI

AI-powered GitHub pull request reviews sign in with GitHub or Google, browse your repos, pick a PR, get structured findings ranked by severity.

reviewlenzai.vercel.app

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What it does

ReviewLenzAI connects to your GitHub account via OAuth and runs LLM-powered code reviews on open pull requests. Sign in with GitHub or Google, browse all your repos directly in the dashboard, select an open PR and in about 20 seconds you get a full breakdown of every issue: what's broken, what's a security hole, and what's just sloppy. Ranked by severity. No token pasting. No manual setup.

It fetches the raw diff, sends it through Groq's Llama 3.3 70B with a structured tool-call schema, and stores every finding categorised, ranked, and persisted so you can track review history across all your projects.

No free-form text. No hallucinated line numbers. Structured JSON output enforced by Pydantic at the boundary.

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How a review works

sequenceDiagram
    participant User
    participant Frontend
    participant Backend
    participant GitHub
    participant Groq

    User->>Frontend: Sign in with GitHub OAuth
    Frontend->>Backend: POST /auth/github/login (code)
    Backend->>GitHub: Exchange code → access token
    GitHub-->>Backend: OAuth access token (stored encrypted)
    User->>Frontend: Browse repos, select open PR
    Frontend->>Backend: POST /reviews (pr_number)
    Backend->>GitHub: GET /repos/{owner}/{repo}/pulls/{n} (OAuth token)
    GitHub-->>Backend: PR metadata + diff URL
    Backend->>GitHub: GET diff
    GitHub-->>Backend: Unified diff
    Backend->>Groq: diff + tool-call schema (Llama 3.3 70B)
    Groq-->>Backend: Structured findings JSON
    Backend->>Backend: Validate with Pydantic, persist to Postgres
    Backend-->>Frontend: Review object with findings[]
    Frontend->>User: Findings grouped by severity

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Architecture

reviewlenzai.vercel.app  (React + Vite)
         │
         │  /api/* proxied by Vercel
         ▼
ai-code-review-api.onrender.com  (FastAPI)
         │
    ┌────┼──────────┐
    ▼    ▼          ▼
 Neon  GitHub    Groq API
  DB    API    Llama 3.3 70B

The Vercel → Render proxy keeps auth cookies first-party and eliminates CORS entirely.

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Tech stack

Layer	Choices
Frontend	React 19 · TypeScript · Vite · TanStack Query · Framer Motion · React Router v6
Backend	FastAPI · SQLAlchemy 2 · Pydantic v2 · python-jose · passlib
Auth	GitHub OAuth · Google OAuth · JWT · bcrypt · Fernet symmetric encryption
Database	PostgreSQL via Neon (serverless, free tier)
LLM	Groq API llama-3.3-70b-versatile · temperature=0.1 · structured tool-calling
Email	Brevo transactional email
Security	HttpOnly cookies · Fernet-encrypted OAuth tokens · bcrypt · JWT · SlowAPI rate limiting · security headers
CI/CD	GitHub Actions pytest + Vite build on every push
Deploy	Vercel (frontend) · Render (API) · Neon (Postgres)

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Features

• GitHub & Google OAuth one-click sign-in; no passwords required (or use email + password with strength enforcement)
• Repo browser browse all your GitHub repos directly in the dashboard; private repos included, zero token pasting
• Custom PR picker searchable dropdown lists all open PRs for the selected repo
• Structured LLM output findings are typed JSON (file, line, severity, category, message, fix), never paragraphs
• Consistent reviews LLM runs at temperature=0.1 with an enforced output schema to minimise hallucinations
• Severity ranking critical → high → medium → low, with visual indicators and a severity breakdown bar
• Full history every review run is stored; browse all past findings per repo
• Dashboard stat cards, activity feed, and per-repo review history
• Multi-user each user only sees their own repos and reviews
• Password strength enforcement 8+ chars, uppercase, lowercase, number, special character required at registration

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Running locally

Prerequisites: Python 3.12+, Node 20+, PostgreSQL

git clone https://github.com/ApparentlyTejas/ai-code-review-assistant.git
cd ai-code-review-assistant

Backend

cd backend
python -m venv .venv && source .venv/bin/activate
pip install -r requirements.txt
cp .env.example .env   # fill in your values
uvicorn app.main:app --reload --port 8000

Frontend

cd frontend
npm install
npm run dev            # http://localhost:5173

Environment variables (backend .env)

Variable	How to get it
DATABASE_URL	postgresql+psycopg2://user:pass@localhost/ai_code_review
JWT_SECRET_KEY	openssl rand -hex 32
PAT_ENCRYPTION_KEY	python -c "from cryptography.fernet import Fernet; print(Fernet.generate_key().decode())"
GROQ_API_KEY	console.groq.com free tier works
GITHUB_CLIENT_ID	GitHub → Settings → Developer settings → OAuth Apps
GITHUB_CLIENT_SECRET	Same OAuth App
GOOGLE_CLIENT_ID	Google Cloud Console → OAuth 2.0 credentials
BREVO_API_KEY	brevo.com free tier works
CORS_ORIGINS	http://localhost:5173
APP_URL	http://localhost:5173

Environment variables (frontend .env)

Variable	Value
VITE_GITHUB_CLIENT_ID	Same as GITHUB_CLIENT_ID above
VITE_GOOGLE_CLIENT_ID	Same as GOOGLE_CLIENT_ID above

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Tests

cd backend && pytest

Tests cover auth flows, project ownership isolation, GitHub service (mocked), LLM service (mocked), and the dashboard endpoint.

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Deploy your own (free)

Service	What for	Cost
Neon	Postgres database	Free forever
Render	FastAPI backend	Free (sleeps after 15 min idle)
Vercel	React frontend	Free forever
Brevo	Transactional email	Free up to 300 emails/day

backend/render.yaml and frontend/vercel.json are included import the repo and set your env vars.

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Built by @ApparentlyTejas