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Before putting AI agents to work on your system, you need to know if the codebase is ready for it. The AI-Readiness Score evaluates six dimensions and indicates where to focus restructuring efforts.
In an AI-Native codebase, AGENTS.md is the document an agent reads first. It compresses into text what would take days of onboarding for a human developer. Learn how to write an effective AGENTS.md.
It was not AI that made development cheaper — it was AI-Native Architecture. A system designed for autonomous agents allows a small team to deliver what previously required 10 engineers over 6 months. Understand the mechanism.
A São Paulo fintech had 50 engineers. They adopted GitHub Copilot, Cursor, and Claude. Cycle time dropped from 3 weeks to 2.5 weeks. Then they redesigned the architecture following the 6 AI-Native principles. Result: 5 engineers, 3 days. Here is what changed.
A fintech in São Paulo had 50 engineers and a 3-week cycle time. They applied the principles of AI-Native Architecture internally. Result: 5 engineers, 3-day cycle time, 71% lower cost. The fintech didn't hire us — this is the case that validated the model we apply today.
