Agentic development
Agentic development is the practice of delegating software tasks to AI agents that plan, edit, and verify code across a codebase, with human oversight.
Agentic development shifts engineers from writing every line to directing agents that carry out tasks — refactoring a module, adding tests, fixing a class of bugs across the codebase — and reviewing the results.
How well it works depends heavily on the codebase: clear module boundaries, good tests, strong types, and written context (a CLAUDE.md or rules file) let agents succeed; their absence makes agents thrash and burn tokens.
Getting value at scale means both readying the codebase and standardizing how the team uses agents — shared commands, templates, MCP access, and review guardrails.