Agentic Coding
A style of software development where an AI agent writes, edits, and manages code semi-autonomously while a human operator guides the direction.
What It Is
Agentic coding is when an AI does not just suggest code in a chat window but actually takes action: reading files, writing changes, running commands, creating new files, and iterating on errors. The AI operates as an agent with access to your project’s file system and development tools. You describe what you want built or fixed, and the AI carries out multiple steps to get there, often without needing step-by-step instructions. Claude Code is a primary example: it reads your codebase, understands the context, makes edits across multiple files, and runs tests to verify its work.
Why It Matters
Agentic coding is what makes it possible for non-engineers to build real software. Instead of learning every syntax rule and framework convention, you describe the outcome you want and the AI handles the implementation details. This does not mean you can ignore what the code does. You still need to understand the architecture, review the changes, and verify the results. But the barrier between “having an idea” and “having working code” drops dramatically. The operator’s job shifts from writing code to directing, reviewing, and deciding.
In Practice
In a typical agentic coding session, you tell Claude Code “add a new glossary term page with these fields” and it reads your existing pages, understands the pattern, creates the new file, and updates any related configuration. You review the output, request adjustments, and the agent iterates. The key skill is clear communication of intent and careful review of results.