Agents think more code is better. Here's how you fix it
Coding agents confuse code volume with productivity. My experiments use explicit coding culture and a local definition of engineering quality to challenge that bias.
Lynn Cole / 标签
A thread through the work.
Coding agents confuse code volume with productivity. My experiments use explicit coding culture and a local definition of engineering quality to challenge that bias.
Recursive training improved correctness while weakening engineering taste. A controlled learning-rate ablation and a failed promotion gate changed the next experiment.
Replacing Busy’s chat parser with a dedicated command context made the system simpler, smaller and easier to reason about.
A small Qwen training run tests whether play, critique and revision can change engineering taste while preserving correctness. The results guide the next replication run.
Early Busy combines a command-line client, Robot Kanban, complexity metrics and formal documentation into a coding workflow.