Quoting Paul Dix

📰 Simon Willison's Blog

AI-generated code can be refined to produce reliable software, as seen in a recent project where AI wrote 1M LOC and refined it over months

intermediate Published 26 Aug 2026
Action Steps
  1. Explore AI-powered code generation tools to see how they can be applied to your own projects
  2. Run experiments to test the reliability and accuracy of AI-generated code
  3. Configure AI models to refine and improve generated code over time
  4. Test and evaluate the performance of AI-generated code in real-world scenarios
  5. Apply lessons learned from AI-generated code to improve your own coding practices
Who Needs to Know This

Developers and software engineers can benefit from understanding the potential of AI-generated code, and how it can be refined and improved over time

Key Insight

💡 AI-generated code can be improved and refined over time to produce high-quality software

Share This
💡 AI-generated code can be refined to produce reliable software, running on millions of machines!

Full Article

The fact that AI wrote 1M LOC and then refined it over the course of the next couple of months to produce a reliable piece of software that is currently running on millions of developer machines is absolutely mind blowing. And you can say, “well it’s not that impressive because they had an oracle to compare against, so it was simple to go from one language to another”, but I think that’s selling this entire thing short. If you can
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