The pit crew for your projects. Point it at any codebase and get scored, AI-ready context in 60 seconds.
Transform any project - new, legacy, famous OSS, or forgotten side projects - into an AI-intelligent workspace with persistent context that works across all AI tools.
Even React.js scores 0% AI-readiness. Famous repositories have no AI context.
| What Exists | What It Tells AI |
|---|---|
| README.md | "What this does" (for humans) |
| docs/ | "How to use it" (for humans) |
| project.faf | "How to help build this" (for AI) |
Documentation tells humans how to use your code. AI context tells AI how to help you build it. They're completely different things.
| Project Type | What FAF Wizard Does |
|---|---|
| Brand new | Perfect AI context from line one |
| Legacy nightmare | AI finally understands the archaeology |
| Famous OSS | Even React doesn't have this |
| Side projects | Stop re-explaining every session |
| Client handoffs | Portable context for any AI tool |
| Team projects | Shared context that everyone can use |
Before: "This 50k-line PHP codebase from 2015..."
AI: "I don't understand this architecture"
After: 60 seconds with FAF Wizard
AI: "I see this is a Laravel-based e-commerce system with
payment processing, inventory management, and multi-tenant
architecture. Here's how I can help..."
Before: Every AI session starts with context explanation
Time lost: 5-10 minutes per session
After: project.faf exists
AI: Instant understanding, productive from message one
Time saved: 2+ hours per day
faf auto
# Scans manifest files, directory structure, dependencies
# Detects: React + TypeScript + Tailwind + Vercel
# Auto-generated project.faf
project:
name: my-saas-dashboard
goal: Customer analytics platform
stack:
frontend: react-18
css: tailwind
deployment: vercel
human_context:
who: Solo founder
what: SaaS analytics dashboard
why: Customer insights for small businesses
โ
Generated: project.faf
๐ AI-Readiness: 87% Bronze - Production ready
Filled: 9/11 active slots
Ignored: 22 slots (not applicable)
To reach Silver (95%):
+ Add API documentation (+5%)
+ Define deployment details (+3%)
Analyzed 8,400+ Projects:
Automatically detects and configures:
Already have AI context files?
# Migrates existing context
faf migrate --from .cursorrules
faf migrate --from CLAUDE.md
faf migrate --from README.md
# One format, works everywhere
faf sync --target all
npm install -g faf-cli
cd your-project
faf auto
{
"mcpServers": {
"faf": {
"command": "npx",
"args": ["-y", "claude-faf-mcp@latest"]
}
}
}
Install from Chrome Web Store - works on any Git repository.
package.json, Cargo.toml, pyproject.toml, etc.| Project Type | Avg Score | Time to Bronze | Detection Rate |
|---|---|---|---|
| React/Vue | 89% | Instant | 99.8% |
| Python Django | 91% | Instant | 99.5% |
| Rust CLI | 85% | Instant | 99.1% |
| Legacy PHP | 76% | 30 seconds | 94.2% |
| Monorepo | 82% | 45 seconds | 91.8% |
Use faf-wizard for:
Use faf-expert for:
Enterprise-Grade Standards:
# One command, done forever
npx faf-cli auto
# Check the results
cat project.faf
Install the browser extension and click "Generate FAF" on any repo.
# Set up team-wide MCP server
faf mcp install --team
faf sync --target all --watch
Stop explaining your project every session. FAF Wizard - because AI should understand your project as well as you do.