agentic coding

Agentic coding is an approach to software development where AI agents plan, write, run, and iteratively improve code using tools and feedback loops under human oversight.

Unlike autocomplete that assists line by line, agentic coding treats the model more like an autonomous problem solver that can decompose high-level goals, execute tools or IDE actions, run tests, analyze failures, and retry until a specification is met. This loop of generate → execute → evaluate → refine is core to the paradigm where human supervision is key.

In practice, systems implementing agentic coding define principles and guardrails for safety, observability, and accountability. They also orchestrate multi-step or multi-agent workflows and integrate with existing tooling, such as version control, testing frameworks, issue trackers, and deployment environments.