Components of A Coding Agent
Ahead of AI Sebastian Raschka, PhD
A coding agent is an LLM wrapped in a software harness that uses tools, memory, and control loops to solve coding tasks, distinguishing it from a raw model or reasoning model. The harness manages six main components: live repository context, prompt caching for efficiency, structured tool access with validation, context reduction, session memory and resumption, and delegation to sub-agents. The surrounding system—including repo navigation, file management, test execution, and context preservation—often matters as much as the underlying model itself for practical coding capability.
Why it matters
How coding agents use tools, memory, and repo context to make LLMs work better in practice
