Blog
New features, use cases, and insights from the Katatan team.
Thinking Through AI Code Review's Quality Risk with the Swiss Cheese Model
AI code review has pushed developer productivity forward significantly. But in the process, the parts of review that only humans can perform have become harder to see.
Introducing the Vulnerability Check Feature for Web Applications
As high-performance AI models become mainstream, the same capabilities that boost developer productivity can just as easily arm attackers. KATATAN's new Vulnerability Check feature lets you casually check your product's security health — free to try today.
Why Excel Doesn't Work for Test Management in AI Native Development
Why test management breaks down in AI native development, and the three baselines Katatan proposes for choosing a better approach.
Semantic Coding Theory: Maximizing Code Quality in AI Native Development
Semantic Coding Theory is a design philosophy for the AI native development era — embedding meaning into code structure, naming, types, and tests rather than documentation. Learn how to build a codebase that AI agents can explore, understand, and change with minimal friction.
Automating Spec and Test Resource Updates in AI Native Development
As AI native development accelerates, keeping specifications and test documents in sync becomes increasingly difficult. We introduce the development ecosystem Katatan has built to automate this process using GitHub.
Why Katatan Was Born
AI can build a pumpkin carriage overnight. But it won't guarantee the quality. As AI native development becomes mainstream, we explain the problem Katatan is designed to solve.