Agentic Coding
AI agents that autonomously plan, write, test, and refactor code with minimal human prompting, handling entire workflows instead of single tasks.
What is Agentic Coding?
Agentic coding is when AI agents autonomously handle entire coding workflows - planning architecture, writing code, running tests, and iterating on bugs without you micromanaging every step.
Instead of autocompleting lines or suggesting snippets, these agents take a high-level goal like "build a REST API with auth" and execute the whole thing end-to-end.
Tools like Cursor, GitHub Copilot in agent mode, and Devin are leading this shift. They analyze your codebase, understand dependencies, make architectural decisions, and refine their output based on test results.
The tradeoff: you move from typing code to defining goals and reviewing output. Faster iteration, but you need clear guardrails and oversight to catch when agents drift from your standards.
Good to Know
Agents handle full workflows (plan, code, test, debug) instead of single suggestions
Shifts developer role from typing code to defining goals and reviewing output
Tools like Cursor, GitHub Copilot agent mode, and Devin lead the space
Requires clear architectural boundaries and oversight to prevent drift
Best for scaffolding, refactoring, and repetitive tasks across multiple files
How Vibe Coders Use Agentic Coding
Asking an agent to scaffold a new feature and watching it create routes, models, and tests across 8 files
Pasting a bug report and having the agent trace the issue, write a fix, and add regression tests
Refactoring an entire module to use a new pattern while the agent handles all the imports and type updates
Prototyping a full API integration in minutes by describing the endpoints you need
Frequently Asked Questions
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