Skip to content

Aider

Free · Open Source

Open-source AI pair programming in your terminal — bring your own API key and work with Claude, GPT, DeepSeek, or local models

What is Aider?

Aider is an open-source CLI AI pair programming tool that lives in your terminal and integrates natively with Git. Unlike IDE-bound tools like Cursor or GitHub Copilot, Aider is editor-agnostic — it runs next to your Vim, Neovim, Emacs, or VS Code session and edits files directly on disk. Every AI-generated change becomes a Git commit automatically, giving you a clean audit trail you can review, undo, or cherry-pick. Aider supports over 100 programming languages and connects to virtually any LLM, including Claude 3.7 Sonnet and Opus, GPT-4o, OpenAI o1 and o3-mini, DeepSeek V3 and R1, Gemini, and local models via Ollama or LM Studio. You bring your own API key, so costs scale with usage rather than a flat subscription — typical power users spend $30–60/month in tokens, and local-model users pay nothing at all. Aider builds a repo map of your entire project so the LLM has context beyond the files you explicitly share, letting it handle refactors across large codebases. The tool has 39K+ GitHub stars, over 4 million installs, and is widely considered the gold standard for terminal-first AI coding workflows among senior developers who want total control over their model, their context, and their Git history.

⚡ Quick Verdict

Best for

Senior developers who live in the terminal and want full control over model choice and Git history

Not ideal for

Beginners who want inline ghost-text autocomplete inside a pre-configured IDE

Starting price

Free tool — bring your own API key (typical cost $30–60/mo in tokens)

Free plan

Yes — fully open-source, local models work at zero cost

Key strength

Editor-agnostic Git-native workflow with support for any LLM including local models

Limitation

Terminal-only — no GUI, inline autocomplete, or built-in browser tool calling

Bottom line: Aider scores 4.4/5 — The best terminal-first AI pair programmer and a power user's favorite. Pair it with Claude Sonnet for the highest quality, or DeepSeek V3 for the best price-to-quality ratio.

Pricing

Aider tool — Free: Fully open-source under Apache 2.0. Installed via pip, no account or telemetry.

API costs (bring your own key): You pay the LLM provider directly. Claude 3.7 Sonnet costs roughly $3/M input and $15/M output tokens; a full day of coding typically runs $5–15. Claude Opus runs $15–40/day for heavy users. DeepSeek V3 is the cheap pick at ~$0.27/M input and $1.10/M output — often under $10/mo even for daily use.

Local models — $0: Point Aider at Ollama, LM Studio, vLLM, or any OpenAI-compatible local server. Qwen 2.5 Coder 32B, DeepSeek Coder V2, and Llama 3.3 70B run well on a Mac with 32GB+ RAM. Quality is below Claude but adequate for privacy-critical work.

Key Features

  • Terminal-native CLI that works alongside any editor (Vim, Neovim, Emacs, VS Code)
  • Git-native — every AI edit becomes a commit with auto-generated message
  • Supports 100+ programming languages with language-aware diffs
  • Works with Claude, GPT-4o, o1, o3, DeepSeek, Gemini, and local models via Ollama
  • Repo map gives LLMs awareness of your full codebase, not just open files
  • Automatic linting and test running with error feedback loop
  • Voice coding mode — dictate changes with /voice command
  • /undo, /diff, and /model commands for fine-grained session control
  • Open source Apache 2.0 license, 39K+ GitHub stars, 4M+ installs

Pros & Cons

Pros

  • Zero lock-in — editor-agnostic, model-agnostic, fully open source
  • Git-first design means every change is auditable and reversible
  • Works with local models for zero-cost, zero-privacy-risk coding
  • Leaderboard-topping edit format is highly token-efficient
  • Active development and a thriving community of power users

Cons

  • Steeper learning curve than Cursor or Copilot for non-terminal users
  • No inline ghost-text autocomplete — chat-style edits only
  • No built-in browser automation or tool calling like Cline has
✅ Pricing verified April 2026 · ✅ Independently reviewed · ✅ Scoring methodology

FAQ

Is Aider really free?

Yes. The Aider tool itself is fully open-source under the Apache 2.0 license and costs nothing to install or use. The only cost is the API tokens you spend with whichever LLM provider you pick — Anthropic, OpenAI, DeepSeek, or a local model via Ollama. Typical power users spend $30 to $60 per month in API costs on Claude Sonnet, but running entirely on free local models like Qwen or DeepSeek V3 is a viable zero-cost option.

How does Aider compare to Cursor or GitHub Copilot?

Aider lives in your terminal rather than an IDE, so it plays nicely with any editor including Vim, Neovim, Emacs, or VS Code. Cursor and Copilot bundle their UI with a specific editor. Aider also uses a Git-native workflow where every AI change becomes a commit you can review, revert, or cherry-pick. If you love the terminal and want full control over which LLM powers your agent, Aider wins.

Which LLM works best with Aider?

Aider's official leaderboard consistently puts Claude 3.7 Sonnet and Claude Opus at the top for its edit-format benchmark, followed by OpenAI o1, o3-mini, and GPT-4o. DeepSeek V3 and R1 are the cheap high-quality picks. For local-only setups, Qwen 2.5 Coder and DeepSeek Coder V2 run well on a Mac with 32GB+ RAM. Aider lets you swap models mid-session with /model, so you can use cheap models for boilerplate and premium models for tricky refactors.

Does Aider really commit to Git automatically?

Yes. By default Aider makes a Git commit for every AI edit it applies, with the commit message generated automatically. This means you always have a clean audit trail and can /undo any change with one command. If the AI introduces a regression you can git reset, and if you want to keep the changes but rewrite history, you can squash or rebase normally. This Git-first design is one of Aider's most-loved features.

Can Aider work on a large existing codebase?

Yes. Aider builds a repo map of your entire project so the LLM has awareness of classes, functions, and file structure beyond the files you explicitly add to the chat. For very large monorepos you still need to manually add the most relevant files with /add to keep token costs down. Users regularly work on repos with 100K+ lines of code, especially when paired with Claude Sonnet or Opus which handle long context well.

Does Aider support local models for privacy?

Yes. Aider connects to any OpenAI-compatible API, which means you can point it at Ollama, LM Studio, LocalAI, or vLLM running on your machine. Nothing leaves your laptop. Popular local picks are Qwen 2.5 Coder 32B, DeepSeek Coder V2, and Llama 3.3 70B. Quality is noticeably lower than Claude Sonnet but is more than good enough for smaller projects or privacy-critical work.

How does Aider compare to Cline or Roo Code?

Cline and Roo Code are VS Code extensions with richer GUIs, approval flows, and browser automation. Aider is terminal-only and simpler. Many developers use both — Aider for quick terminal edits and Cline for longer autonomous tasks inside the editor. Aider's big advantage is that it is editor-agnostic and integrates smoothly with a tmux or Neovim workflow.

Is Aider good for junior developers?

Aider has a steeper learning curve than Cursor or GitHub Copilot. You need to be comfortable with the terminal, Git, and managing API keys. Once set up, it is extremely productive, but juniors often prefer the inline autocomplete and visual chat panels of Cursor. We recommend starting with Cursor or Copilot for your first 6 months of AI-assisted coding and moving to Aider once you want more control and lower running costs.

📋 Good to know

Setup

Install with pip install aider-install, then run aider in any Git repo. Set ANTHROPIC_API_KEY or OPENAI_API_KEY env var and you're ready.

Privacy

Your code only goes to the LLM provider you choose. Use local models via Ollama for zero-data-egress workflows.

When to upgrade

Swap to Claude Opus when you hit tricky architectural problems. Use DeepSeek V3 for volume work to cut bills by 5-10x.

Learning curve

Moderate. Comfortable with Git and terminal? Expect 30 minutes to productivity. Otherwise 2-3 hours.

Explore more

Compare Aider with alternatives

Aider vs CursorFull comparison → Aider vs ClineFull comparison → Aider vs Claude CodeFull comparison → Aider vs CopilotFull comparison →
📝 Report incorrect info about Aider