The complexity threshold of AI

2025-07-29

Summary: A sourced summary about why AI coding agents work better when large projects are broken into clear, low-complexity steps.

This sourced note explains that AI coding tools can build small projects quickly, but they become less reliable when the task becomes large, vague, or architecturally messy. The author describes how an initial AI-built MVP became difficult to extend, then improved the workflow by writing a much clearer specification before asking the AI to implement it step by step.

The key lesson is that the complexity of each individual step matters. AI may handle a big project better if the human breaks it into smaller pieces with clear requirements, tests, and review.

Free Basics version: for coding or planning, do not ask AI to do everything at once. Give it one clear step at a time.

Source: Daniil Sedov, Gusarich's thoughts, gusarich.com/blog/the-complexity-threshold-of-ai