Categories/AI Coding Assistants/AI Pair Programming & Terminal Agents
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AI Pair Programming & Terminal Agents

Hand off a whole task, not just a function, to an AI agent that works in your terminal: reads your codebase, makes a plan, edits files across your project, runs tests, and reports back. Think less autocomplete, more junior developer who works fast.

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ChatGPT

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AI Pair Programming & Terminal Agents

This is a step beyond autocomplete: instead of suggesting the next line of code, these agents take on a whole task. You describe what you want — "fix the failing tests in the auth module" — and the agent explores your codebase, makes a plan, edits the relevant files, runs tests, and reports back on what it did.

What kinds of tasks these handle

  • Multi-file refactors — renaming, restructuring, or updating patterns across a whole codebase.
  • Bug fixes — tracking down the cause of a failing test and fixing it.
  • Feature scaffolding — setting up the basic structure for a new feature based on a description.

How developers are using these day to day

The common pattern is delegating well-defined, somewhat tedious tasks — updating dependencies, writing tests for existing code, fixing lint errors across a project — so developers can focus on the harder design decisions. Reviewing the agent's changes before merging is still standard practice, the same as reviewing a colleague's pull request.

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