I spent 3 months building and validating an AI engine that generates production-ready Python code. Just finished comprehensive testing: 14/15 diverse specs worked first try (93% success).

What it does: Generates working Python tools from plain English descriptions. Not toy code - actual production-grade with security, error handling, and logging.

Validation results: • 15 diverse tests (data processing, APIs, business logic, file handling) • 14 passed completely (93%) • 1 failed: real-time streaming processor with 12+ requirements (distributed systems complexity) • Average: 1.5 iterations to production-ready

Example generations that worked: • Invoice matching system (18K chars, fuzzy matching, reconciliation) • JWT authentication API (Flask + SQLite + bcrypt) • Web scraper with ethical safeguards (robots.txt, rate limiting) • Multi-API integration (OpenWeather + Twilio)

What struggled: • Extremely complex specs (10+ independent requirements)

Try it: https://bauform-engine.fly.dev

Feedback form: https://docs.google.com/forms/d/e/1FAIpQLSfH_4s_pheVTePcaIt0...

Looking for honest feedback from developers - what works, what breaks, what would make this useful for your workflow.

Beta stage. Python only (for now). Best for focused tools with clear requirements.