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Getting Started with Agentic Coding

A complete introduction to using AI as a true coding collaborator — beyond autocomplete to full agentic workflows where Claude plans, implements, tests, and iterates.

May 20, 2026 15 min
agentscodingbeginner

Getting Started with Agentic Coding

Agentic coding is the practice of working alongside AI systems that can take multi-step actions — not just suggest code, but plan, write, test, debug, and iterate autonomously.

What Makes Coding "Agentic"?

Traditional AI coding tools are reactive — you write a prompt, they respond with code. Agentic coding is proactive — you describe a goal, and the AI figures out the steps, executes them, and handles the details.

The key capabilities that enable this:

  • Tool use — the AI can read and write files, run commands, search the web
  • Multi-step planning — breaking complex tasks into sub-tasks
  • Feedback loops — reading test output and fixing failures automatically
  • Persistent context — remembering decisions across a long session
  • Setting Up Claude Code

    Claude Code is Anthropic's CLI-based agentic coding tool. Install it:

    npm install -g @anthropic-ai/claude-code
    

    cd your-project

    claude

    The CLAUDE.md File

    The most important file for agentic coding is CLAUDE.md — a plain-text context file at the root of your project. Claude reads this at the start of every session.

    # My Project

    Stack

  • Next.js 14 App Router
  • PostgreSQL via Prisma
  • Deployed on Vercel
  • Commands

  • npm run dev — start dev server
  • npm test — run tests
  • npm run db:push — push schema changes
  • Code Conventions

  • Use TypeScript strict mode
  • Prefer server components; use 'use client' only when needed
  • All DB queries go in /lib/db.ts
  • A Practical First Session

    Start with a well-scoped task:

    "Add a search endpoint to /api/search that queries the products table by name and returns paginated results. Include input validation and error handling."

    Claude will:

    1. Read your project structure

    2. Find the relevant files

    3. Write the code

    4. Run the linter

    5. Report back

    Tips for Effective Agentic Workflows

    Be specific about outcomes, not steps. Instead of "write a function that does X then Y then Z", say "I need a function that takes user input and returns validated, normalized data — handle edge cases."

    Give permission to explore. Tell Claude it can read any file to understand context. The more it understands your codebase, the better its output.

    Use /compact for long sessions. When the context gets large, /compact summarizes the conversation and continues with a smaller, focused context.

    Commit frequently. Treat every agentic session like a branch. If something goes sideways, git reset is your friend.

    Next Steps

  • Set up your CLAUDE.md today — even 10 lines of context makes a huge difference
  • Try a refactoring task: "Extract all hardcoded strings in this component into a constants file"
  • Explore MCP servers to give Claude access to your databases and APIs