I built an x86_64 kernel from scratch, and it made me hate AI documentation tools. So I built my own.

1. 1Build a custom kernel from scratch to understand the limitations of AI documentation tools
2. 2Run into issues with existing AI documentation tools and identify the need for a custom solution
3. 3Configure a new documentation tool to meet specific needs
4. 4Test the custom tool with the kernel development project
5. 5Apply the lessons learned to improve the custom tool
6. 6Compare the custom tool with existing AI documentation tools to evaluate its effectiveness

Systems developers and engineers can benefit from this story, as it highlights the challenges of working with AI documentation tools and the importance of tailored solutions

💡 AI documentation tools may not always meet the needs of complex projects, and custom solutions can be more effective

🚀 Building a custom x86_64 kernel from scratch led to creating a custom AI documentation tool! 💡