AI Coding Agents: Turning Software Tasks Into Tested Changes

Coding agents turn software requests into a loop of investigation, editing and checking. A model chooses what to inspect or change; tools let it work in the repository; execution results shape the next step. Useful autonomy depends on understanding the task, preserving existing work and checking the exact change that will be integrated. This chapter follows that workflow without treating an agent’s completion message as proof that the software works.