Independent Reviewer
- Updated May 1, 2026
- lalitnayyar/finally1
independent-reviewer is a Claude Code skill in the Git & Pull Requests category. Carry out an independent review of all changes since last commit
Key points
- independent-reviewer
- Git & Pull Requests
- AI-coding skill
Independent Reviewer by the numbers
- Data as of Jul 7, 2026 (Skillselion catalog sync)
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| Last updated | May 1, 2026 |
|---|---|
| Repository | lalitnayyar/finally1 ↗ |
What it does
Carry out an independent review of all changes since last commit
README.md
FinAlly — AI Trading Workstation
A visually stunning AI-powered trading workstation that streams live market data, lets you trade a simulated portfolio, and includes an LLM chat assistant that can analyze positions and execute trades on your behalf.
Built as a capstone project for an agentic AI coding course — the entire codebase is produced by orchestrated AI agents.
Features
- Live price streaming — prices flash green/red on change via SSE
- Simulated portfolio — $10,000 starting cash, market orders, instant fills
- Portfolio heatmap — treemap sized by weight, colored by P&L
- P&L chart — portfolio value over time
- AI chat assistant — natural language trade execution and watchlist management
- Bloomberg-inspired UI — dark, data-dense terminal aesthetic
Quick Start
# Copy and configure environment variables
cp .env.example .env
# Edit .env — add your OPENROUTER_API_KEY (required for AI chat)
# Start (macOS/Linux)
./scripts/start_mac.sh
# Start (Windows PowerShell)
./scripts/start_windows.ps1
Open http://localhost:8000.
Environment Variables
| Variable | Required | Description |
|---|---|---|
OPENROUTER_API_KEY |
Yes (for chat) | OpenRouter API key for LLM integration |
MASSIVE_API_KEY |
No | Polygon.io key for real market data; omit to use the built-in simulator |
LLM_MOCK |
No | Set true for deterministic mock LLM responses (testing) |
Architecture
Single Docker container on port 8000:
- Frontend — Next.js (TypeScript), built as a static export, served by FastAPI
- Backend — FastAPI (Python/uv), REST + SSE endpoints
- Database — SQLite, volume-mounted at
db/finally.db - Market data — GBM simulator (default) or Massive/Polygon.io REST API
- AI — LiteLLM → OpenRouter (Cerebras inference), structured outputs
Development
# Backend
cd backend
uv sync --extra dev
uv run pytest
# Frontend
cd frontend
npm install
npm run dev
Project Structure
finally/
├── frontend/ # Next.js TypeScript app
├── backend/ # FastAPI uv project
├── planning/ # Architecture docs and agent specs
├── scripts/ # Start/stop Docker scripts
├── test/ # Playwright E2E tests
├── db/ # SQLite volume mount target
└── Dockerfile
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