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What is agentic coding?

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Agentic coding tools (opens in new tab) represent a leap beyond traditional AI code generation. These are AI systems that act as autonomous coding agents, capable of understanding context, planning approaches, and executing entire coding tasks with minimal human oversight. Agentic coding tools can:

Modernize legacy codebases

Teams across industries can more easily migrate COBOL, SAS, and other outdated systems to modern backends, turning multi-year projects into months-long initiatives.

Accelerate onboarding

New engineers can explore and understand complex codebases by simply asking questions about architecture, dependencies, and implementation details.

Automate incident response

Site Reliability and DevOps teams can build custom agents that automatically triage and resolve on-call incidents.

Enable non-technical contributors

Product managers can write requirements informed by actual codebase constraints, while designers can turn Figma mockups into functional prototypes.

And these use cases only scratch the surface of what's possible. Check out our article on how Anthropic teams use Claude Code (opens in new tab) for additional use cases and examples.