Stop Prompting; Use the Design-Log Method to Build Predictable Tools

The article by Yoav Abrahami introduces the Design-Log Methodology, a structured approach to using AI in software development that combats the "context wall" — where AI models lose track of project history and make inconsistent decisions as codebases grow. The core idea is to maintain a version-controlled ./design-log/ folder in a Git repository, filled with markdown documents that capture design decisions, discussions, and implementation plans at the time they were made. This log acts as a shared brain between the developer and the AI, enabling the AI to act as a collaborative architect rather than just a code generator. By enforcing rules like read before you write, design before implementation, and immutable history, the methodology ensures consistency, reduces errors, and makes AI-assisted development faster, higher quality, and predictable. Link to article Full disclosure: I am not a developer, I'm a researcher and tinkerer that builds one-off tools and forget to upload them. As I