My Self-Reinforcing AI-Coding-Pipeline: 300% Productivity Boost in Coding with AI

In this serious of posts, i want to introduce my Self-Reinforcing Code Quality Pipeline, which allows me to fully automate entire software projects and sub-projects with Cursor and Anthropic — without the usual issues everybody is talking about.

Thanks to Medium, I am allowed to provide a friends link that works without sunbscription: https://0xhagen.medium.com/self-reinforcing-code-quality-pipeline-my-300-productivity-boost-in-coding-with-ai-dcc224ee4a57?sk=a46a98a76108de580448533285e16460

Before I introduce the Planner & Executor Model (coming in the next post), I want to share how I chained Cursor & Co. together to prevent them from deleting or breaking existing code — and how they even test their own code before confidently saying, “I’m done.”

The magic word: Self-reinforcing Pipelines for Testing & Code Quality

Rule #1: Test Coverage

In all backend systems, I enforce 90% test coverage — plus a rule that all tests must pass after every change. This forces Cursor to write tests on its own if coverage drops below the threshold. Also, tasks are only considered “done” when all tests pass and 90% coverage is achieved. For frontend development, the test coverage my vary based on the overall…