Agentic Coding
A development style where AI agents handle multi-step coding tasks beyond simple code completion
What is agentic coding?
Agentic coding is a development style where AI goes beyond suggesting snippets and executes multi-step tasks toward a goal.
Typical flows include file discovery, code edits, test execution, and iterative follow-up actions.
How does it work?
A developer provides a goal in natural language, and the agent decomposes the task into steps while using available tools (editor, terminal, version control).
The core mechanism is an iterative loop: observe results, reason, and take the next action.
Why does it matter?
Agentic coding can significantly improve throughput for repetitive work and large-scale code changes.
As autonomy increases, teams also need stronger policies for validation, cost control, and execution boundaries.
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