AI Code Assistant

Aider

Aider is a terminal-based AI pair programming tool that helps you build and edit code with LLMs.

What is Aider?

Aider is a terminal-based AI pair programming tool for working with large language models on new projects or existing codebases. It supports code editing, git-based workflows, and integration with many popular programming languages and model providers.

Aider vs Similar AI Tools

Pricing ModelFreeFree, FreemiumFreeFree
Free Credits
Key Features
  • Terminal-based AI pair programming
  • Works with cloud and local LLMs
  • Codebase mapping for large projects
  • Voice-controlled AI coding sessions
  • Multi-model support (Codex, Claude, Cursor, Gemini)
  • Approval workflows for sensitive actions
  • Zero-config auto-discovery of services by analyzing codebases (Go, Node, Python, Rust, Java, Docker, K8s, Helm, Terraform, OpenAPI, GraphQL, Proto)
  • Interactive 2D dependency graph for visualizing software architecture and relationships
  • Automated compliance scorecards for services based on documentation, ownership, containerization, and API specs
  • Autocompletion with descriptions on `/` and `$`
  • Go to definition and find references
  • F2 rename with editor undo (folder, frontmatter, and references update as one edit)
Pros
  • Terminal-first workflow for developers
  • Works with many LLM providers and local models
  • Enables coding from mobile devices
  • Voice control reduces context switching
  • Extremely lightweight (<30MB RAM) single binary with no external dependencies
  • Zero configuration required for basic functionality; auto-discovery works out of the box
  • Eliminates silent errors from stale skill references
  • Provides IDE-grade refactoring for agent skills
Cons
  • Requires your own LLM/API access for most setups
  • Best suited for developers comfortable in the terminal
  • Requires reliable voice recognition
  • Limited to supported AI models
  • Requires Go build to compile from source; no pre-built binaries readily available
  • Auto-discovery may not fully capture complex enterprise service architectures
  • Only supports markdown files in specific directories
  • Requires manual editor configuration
Best For
  • Developers who work in the terminal
  • Teams using git-based workflows
  • Developers who frequently code away from their desk
  • Teams wanting to review code changes on mobile
  • Platform engineering teams looking for a lightweight service catalog
  • Developers wanting to visualize microservice dependencies
  • Developers managing AI agent skill libraries
  • Teams using Claude, Codex, or similar agent systems

How to use Aider?

  1. 1Install Aider with the provided setup command.
  2. 2Open your project directory in the terminal.
  3. 3Start Aider with your chosen model and API key.
  4. 4Describe the change you want in plain language.
  5. 5Review the proposed edits and commits.
  6. 6Use git to inspect, manage, or undo changes as needed.

Aider Key Features

  • Terminal-based AI pair programming
  • Works with cloud and local LLMs
  • Codebase mapping for large projects
  • Supports 100+ programming languages
  • Git integration with automatic commits
  • IDE/editor usage support
  • Can use images and web pages as context
  • Voice-to-code support
  • Automatic linting and testing
  • Copy/paste workflow for web chat models

Aider Use Cases

  • Adding new features to an existing codebase
  • Fixing bugs with AI assistance
  • Refactoring code across a project
  • Generating tests and lint fixes
  • Working with AI in a terminal-first workflow
  • Collaborating with LLMs inside an IDE

Aider Pricing & Free Credits

Aider currently operates on a Free model.

This tool is completely free to use

Open source

Free

The product is available as a free open-source tool; model usage may require your own provider account.

Aider Pros & Cons

Pros

  • Terminal-first workflow for developers
  • Works with many LLM providers and local models
  • Git-aware edits and commits
  • Useful for large codebases
  • Supports many languages and tools

Cons

  • Requires your own LLM/API access for most setups
  • Best suited for developers comfortable in the terminal
  • Effectiveness depends on the model you connect

What is Aider best for?

  • Developers who work in the terminal
  • Teams using git-based workflows
  • Open-source contributors
  • Engineers refactoring large codebases
  • Users who want AI help inside existing projects

Aider FAQ

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