GETTING AI TO WORK IN COMPLEX CODEBASES

Summary from the TLDR AI newsletter

AI coding agents are great for new projects or small changes, but they often make developers less productive in large, established codebases. This post discusses a family of techniques called 'frequent intention compaction' that involves deliberately structuring how context is fed to AI throughout the development process to improve performance on large codebases. The technique has allowed a team to use AI to handle Rust codebases with 300,000 lines of code, ship a week's worth of work in a day, and maintain code quality that passes expert review. It shows how AI for coding is actually a deeply technical engineering craft.