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Agentic development

Agentic development is a software-development approach in which AI agents perform or coordinate programming and related engineering activities, autonomously or with human oversight.

How 2 Manning books explain it

The Art of Code

A software-development approach in which AI agents perform or assist with programming tasks across one or more steps.

How it is used
Uses AI agents to accelerate programming while preserving human responsibility for quality, design, and durable software.
How deep it goes
Explains quality risks, supervision needs, and comprehension debt, but stops short of specifying tools, workflows, or agent architectures.
Examples
Contrasts clean and tangled surrounding code, repeated corrective patches, and generated code that works without being understood.
What you can do after
Evaluate agent-generated code for comprehension debt, design quality, long-term consequences, and the need for human intervention.

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Introduction to Generative AI, Second Edition

Agentic coding is software development in which AI agents plan and execute multistep programming tasks with limited human intervention.

How it is used
Deploys AI agents within software development workflows to pursue coding goals across files, tests, and debugging tasks.
How deep it goes
Explains capabilities and workflow types at a high level, stopping short of implementation details or agent internals.
Examples
Uses bug fixing, API modernization, test generation, OAuth implementation, and database migration cleanup as delegated tasks.
What you can do after
Apply agentic workflows through Copilot, Cursor, or Windsurf to delegate, test, debug, and refine multistep code changes.

Read how Introduction to Generative AI, Second Edition explains agentic development →

Related concepts

These guides are generated from the text of Manning books by Manning's knowledge graph and link to the sections they draw on. The full books are available on liveBook and at manning.com.