Free, open-source AI coding tool that edits files directly in your terminal with automatic git commits. Works with Claude, GPT-4o, DeepSeek, and local models.
Free, open-source AI coding tool that edits files directly in your terminal with automatic git commits.
Aider is a terminal-based AI coding assistant that edits your files directly instead of showing you suggestions to copy and paste. You add files to the chat, describe what you want, and Aider modifies the code in place, then creates a git commit with a meaningful message. That workflow difference sounds small but changes how you interact with AI during development. You stay in your terminal, keep your git history clean, and avoid the context-switching overhead of IDE copilots.
The tool maps your entire repository to understand project structure, imports, and dependencies before making changes. When you ask it to add a feature that touches three files, it edits all three in a single operation with consistent imports and references. This repo-mapping is what separates Aider from simpler chat-with-code tools.
Aider connects to virtually any LLM. It works best with Claude 3.7 Sonnet and GPT-4o for complex refactoring, DeepSeek R1 for reasoning-heavy tasks, and you can point it at local models via Ollama or LM Studio for privacy-sensitive work. You pay your LLM provider directly; Aider itself costs nothing.
The tool supports over 100 programming languages and offers multiple interaction modes: code mode for direct edits, architect mode for planning multi-step changes, and ask mode for codebase Q&A without modifications. In-chat commands let you switch models, add or drop files, and run shell commands without leaving the session.
Aider's limitations are real. You need terminal comfort. You are trusting an AI to write directly to your files (though git makes reverting trivial). Setup takes a few minutes of API key configuration. And it does not have the visual diff previews or inline suggestions that IDE-based tools offer. For developers who already live in the terminal and want AI that acts rather than suggests, Aider is the best free option available.
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Aider builds an internal map of your entire codebase, including file structure, imports, function signatures, and class hierarchies. This map lets it make changes that respect existing patterns and correctly update references across files.
Use Case:
Refactoring a Python package where renaming a class requires updating imports in 15 files and test references in 8 more
Every AI-assisted change gets its own git commit with a descriptive message. You can review each change independently, revert specific AI edits without losing manual work, and maintain a readable project history.
Use Case:
A team lead reviewing a junior developer's AI-assisted work by reading commit messages and diffs rather than watching over their shoulder
Switch between cloud models (Claude 3.7 Sonnet, GPT-4o, DeepSeek R1) and local models (via Ollama, LM Studio) within the same session. Use powerful cloud models for complex refactoring and local models for routine edits or privacy-sensitive code.
Use Case:
A contractor working on client code who uses a local Llama model for NDA-protected repositories but switches to Claude for personal projects
A planning mode where Aider proposes a multi-step implementation plan before writing code. You review and approve the approach, then Aider executes the changes. Reduces the risk of AI going in the wrong direction on complex features.
Use Case:
Adding a new API endpoint that requires database migrations, route handlers, validation, and tests across 6+ files
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