What agentic coding actually is.

When AI agents don't just suggest code — they plan, write, test, debug, and ship entire features autonomously.

A session looks like this:

$ claude "Build a contact form with validation"
→ Planning implementation...
→ Creating components/ContactForm.tsx
→ Adding Zod validation schema
→ Writing tests...
→ Running tsc --noEmit... ✓
→ Running tests... 4/4 passed ✓
✓ Feature complete. 3 files created.

Traditional vs agentic coding

Traditional coding asks the developer to type every line. Agentic coding asks the developer to define the outcome, then review the diff. The agent handles planning, file creation, tests, and iteration in between.

Key tools for agentic coding

Four tools cover the majority of the active surface. Pick based on how much of the workflow you want to hand to the agent.

• Claude Code — Anthropic's terminal agent. Plans and executes multi-file changes, runs tests, commits code. Terminal agent.
• Cursor — AI-native IDE with inline editing, multi-file context, and agent mode for autonomous coding. AI IDE.
• Windsurf — Codeium's AI IDE with Cascade, a multi-step coding agent that handles complex refactors. AI IDE.
• Aider — open-source terminal tool for AI pair programming. Git-aware, supports multiple LLM backends. Open source.

The agentic coding process

Five steps, in order. A clear spec at step one saves three rounds of review at step five.

1. Specification. The developer writes a clear description of the feature, including acceptance criteria.
2. Planning. The agent analyses the existing codebase, identifies files to modify, and creates an implementation plan.
3. Implementation. The agent writes code across multiple files — components, utilities, types, tests — following project conventions.
4. Validation. The agent runs type checks, linting, tests, and builds. If anything fails, it diagnoses and fixes automatically.
5. Review. The developer reviews the diff. The agent iterates on feedback until the implementation meets standards.

Benefits

• 10x faster. Features that take days ship in hours. The agent handles boilerplate, tests, and iteration automatically.
• Consistent quality. Agents follow the same conventions every time. No tired-Friday code, no style drift across a codebase.
• Focus on architecture. Developers spend time on design decisions and strategy instead of typing syntax and debugging typos.

Frequently asked

How is agentic coding different from using Copilot?

Copilot suggests the next line. Agentic coding plans an entire feature, creates the files, writes the tests, runs them, fixes errors, and commits — all autonomously. It's project-level, not line-level.

Is agentic coding reliable for production code?

Yes, with proper guardrails. Automated type checking, test suites, and build validation ensure agent-written code meets production standards. Human review remains essential for architecture decisions.

Will it replace programmers?

No — it changes what programmers do. Instead of writing every line, developers become architects and reviewers. The skill shifts from typing code to defining good specifications and evaluating outputs.