Modern development is no longer just about humans writing code — increasingly, AI plays a role in generating, maintaining, and extending projects. But for AI to be effective, the system it works with must be structured, predictable, and standardized.

Katnip is designed with this in mind. Its clear plugin architecture and well-defined conventions provide an environment where both humans and AI can collaborate seamlessly. When AI generates or modifies code, it isn’t producing isolated snippets — it is working within a system that defines:

• Where code should go (well-known paths like ./katnip-project-hooks or ./katnip-rpc-api)
• How functionality is extended (through events and plugins rather than ad-hoc wiring)
• How data flows (via isomorphic rendering, direct client queries, and security policies)

This means AI doesn’t just produce code; it produces code that “fits” — code that remains maintainable for both humans and machines. Developers can trust that the AI’s contributions won’t lead to chaotic sprawl, because Katnip enforces consistency at the architectural level.

For a deeper dive into this idea, see this article, which explores how setting standards allows AI to not just generate code once, but also maintain it over time.

In short: Katnip isn’t just a full-stack JavaScript framework - it’s a framework designed for the future of human + AI collaboration.