Agentic coding, explained
Agentic coding replaces autocomplete with autonomy: AI agents that plan the work, write the code, review it, and test it — then hand you a pull request. Here's how it works and where Korden fits.
What is agentic coding?
Agentic coding is software development driven by autonomous AI agents that can plan a task, write the code, review it, and test it with minimal step-by-step direction. Instead of suggesting the next line, an agent owns an outcome — "add GitHub login," "fix this bug" — and works until it's done.
The shift is from assistance to delegation. An autocomplete tool waits for you to type; an agentic tool takes a goal and executes a multi-step plan to reach it.
Agentic coding vs. AI autocomplete
AI autocomplete predicts the next token as you type; an AI coding agent takes a goal and completes it end to end — investigating the codebase, editing multiple files, running tests, and opening a pull request.
| AI autocomplete | Agentic coding | |
|---|---|---|
| Unit of work | Next line / block | A whole task or feature |
| Who drives | You, continuously | You set the goal; the agent executes |
| Touches many files | No | Yes |
| Runs tests itself | No | Yes |
| Output | Suggestions | A reviewable pull request |
How multi-agent orchestration works
Multi-agent orchestration splits a task across specialized agents that work in parallel — one investigates, one builds, one reviews, one tests — coordinated by a planner. It's faster and more reliable than a single model doing everything in one thread.
Korden's model maps cleanly onto how an engineering team already works:
Director
Breaks the brief into steps and routes each to the right agent.
Scout
Reads the codebase and gathers the context the work needs.
Builder
Implements the change on an isolated git worktree.
Reviewer + Tester
Review the diff and run the tests before it reaches you.
What makes agentic coding trustworthy
Agentic coding earns trust through a hard review gate and isolation: agents work on separate git worktrees, never on your main branch, and every change is delivered as a pull request a human approves.
Korden only ever proposes. It opens PRs; you merge. Agents can't push to your protected branch on their own, and you can read exactly what changed before anything lands.
Agentic coding tools
Popular agentic coding tools include Korden, Devin, Claude Code, and Cursor's agent mode. They differ on where the code runs (local vs. cloud), whether you bring your own model, and how many agents run at once.
Korden's distinctives: it runs fully on your machine, lets you bring your own model, and orchestrates a whole crew in parallel rather than a single agent. Compare it directly with Devin, Claude Code, and Cursor.
Frequently asked questions
What does agentic mean in AI?
Is agentic coding the same as vibe coding?
How many agents does Korden run?
Do AI agents push code to my main branch?
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