I Built a Compiler with AI Engineering Over a Weekend. These are 3 Core Strategies for Scalable AI Development

You know that feeling when you've been doing something for years, and then someone comes along and says "nah, throw all that away"? That is exactly how I felt reading Cursor's blog post about self-driving codebases . Don't get me wrong, I do believe this is impressive. 3M+ lines of code. Approximately 1,000 commits per hour. Thousands of agents working together to build a web browser. But something about it bugged me. It ignores everything we have learned about software engineering. Wait, what is wrong with 1,000 commits per hour? As you know: Throughput is not progress. Maybe 10 meaningful commits targeting goals we would like to achieve would be more helpful. The Cursor approach optimizes for raw output. More agents, more commits, more lines of code. But after years of building software the "right way," here is what I know matters: Agile development , meaning time-bounded sprints with scoped work, not infinite agent swarms. Meaningful changes over large volume. 10 thoughtful PRs migh