Coding agents utilize language models that encode properties of software programs within their residual streams. These agents perform extensive reasoning, code editing, and testing during software-engineering tasks.

A study investigates the impact of code cleanliness on the performance of autonomous coding agents. The research focuses on how the structural and stylistic quality of code influences an agent's ability to navigate and complete coding tasks.