Aider is an AI pair-programming tool designed
to work directly with your existing codebase.
It runs primarily from the terminal and can use
cloud or local language models to help write,
edit, understand, test and improve code.
Aider is an AI pair-programming assistant that
lets developers work with large language models
inside a terminal-based development workflow.
It can be used for new projects as well as
existing repositories.
Aider maps the codebase, helps make changes to
files and integrates with Git so developers can
review, compare and undo AI-generated changes.
Who Is Aider For?
💻 Professional developers
🧑💻 Freelancers
🎓 Programming students
🚀 Startup teams
🛠 Open-source developers
🏢 Engineering teams
⚡ Terminal-focused developers
Key Features
Aider AI Features
Aider combines LLM-powered coding assistance
with repository awareness, Git and automated
development checks.
🤖
AI Pair Programming
Work collaboratively with an AI model while
editing real project files.
💻
Terminal Workflow
Run Aider directly from the command line
inside your development project.
🗺️
Codebase Mapping
Aider creates a map of the codebase to
help models understand larger projects.
🔀
Git Integration
AI changes can be committed and reviewed
using familiar Git workflows.
🧠
Multiple LLMs
Connect Aider with different cloud models
or compatible local language models.
🧪
Testing
Aider can automatically run tests after
making changes.
🔎
Linting
Use project linting to detect issues and
help the AI fix them.
🌐
Web Context
Add web pages to provide reference material
for coding tasks.
🖼️
Image Context
Images and screenshots can provide visual
context for development tasks.
🎙️
Voice-to-Code
Speak coding requests and let Aider turn
them into development actions.
📝
Text File Editing
Aider can work with documentation,
configuration and other text files.
⚙️
Coding Conventions
Developers can specify conventions that
Aider should follow during edits.
How It Works
Aider Development Workflow
1
Open Project
Open your terminal inside the
project repository.
2
Connect Model
Choose a supported cloud or
local language model.
3
Describe Task
Tell Aider what you want to
build, change or fix.
4
Review Changes
Review the generated changes
and verify the result.
Codebase Intelligence
Understand Large Codebases
Repository Mapping
One of Aider's important features is its
codebase map. Rather than treating every
file as an isolated document, Aider builds
a representation of the repository that
helps the selected model work with relevant
parts of the project.
Useful For
Large repositories
Existing applications
Multi-file changes
Finding related code
Understanding unfamiliar projects
Refactoring across files
Example Request
Add authentication to this application.
1. Inspect the existing user model.
2. Add secure login handling.
3. Add session management.
4. Update the relevant routes.
5. Add tests.
6. Run the test suite.
7. Explain all files changed.
For important production changes, always
review generated code and security decisions
before deploying.
Git Integration
AI Changes With Git
Aider is designed around a Git-friendly workflow,
making it easier to inspect and manage AI-generated
changes.
🔀
Automatic Commits
Aider can create Git commits for
changes it makes.
📋
Review Diffs
Use standard Git tools to inspect
exactly what changed.
↩️
Undo Changes
Git makes it easier to revert
unwanted AI changes.
🌿
Branches
Use familiar Git branching strategies
around AI-assisted development.
📝
Commit Messages
Aider can generate sensible commit
messages for its changes.
🛡️
Developer Control
Git provides an additional review
layer before production deployment.
Models
Cloud & Local Language Models
Model Flexibility
Aider is designed to work with multiple
large language model providers rather than
being locked to a single AI model.
Anthropic models
OpenAI models
Google models
DeepSeek models
OpenRouter models
Local models
Other compatible providers
Why Model Choice Matters
Different coding tasks can benefit from
different models. Developers can choose
models based on coding quality, context
capacity, speed, cost and privacy needs.
Always check Aider's current documentation
for the latest supported model names and
configuration syntax.
Programming Languages
100+ Programming Languages
Aider supports most popular programming
languages and can work with many common
software-development stacks.
🐍 Python
Backend, automation, AI and data projects.
🟨 JavaScript
Web applications and Node.js development.
🔷 TypeScript
Modern typed web and backend applications.
🦀 Rust
Systems and performance-focused software.
🐹 Go
Cloud services, APIs and backend systems.
☕ Java
Enterprise and backend applications.
💎 Ruby
Web applications and backend development.
⚙️ C++
Systems and performance-intensive software.
🌐 HTML/CSS
Websites and frontend interfaces.
Testing & Linting
Let Aider Check Its Own Changes
1
Make Change
Aider modifies the requested
project files.
2
Run Linter
Project linting can identify
style and code issues.
3
Run Tests
The configured test suite can
check the generated changes.
4
Fix Problems
Aider can work on issues detected
by linting or testing.
Multimodal Context
Images & Web Pages
🖼️
Screenshot Analysis
Provide visual references or screenshots
as context for development tasks.
🌐
Web References
Add web pages to help provide
documentation or reference context.
🎨
UI Development
Visual context can help when working
on interface-related tasks.
Voice Coding
Voice-to-Code With Aider
Speak Your Development Request
Aider supports voice-to-code workflows,
allowing developers to describe coding
tasks verbally rather than typing every
instruction.
🎙 Request new features
🐛 Describe bugs
🧪 Request tests
♻️ Request refactoring
📝 Ask for documentation
Example
"Add a dark mode to the settings page,
save the user's preference locally,
and create tests for the new behavior."
Aider can interpret the request and
work with the project files according
to the selected model and configuration.
Installation
How To Install Aider
Aider provides installation instructions
through its official documentation. A common
installation workflow uses Python's package
installation system and the Aider installer.
python -m pip install aider-install
aider-install
cd /path/to/your/project
aider
Installation commands and supported
configuration options can change. Check
the official Aider documentation before
installation.
Use Cases
What Can You Build With Aider?
🚀 New Applications
Start projects and generate initial
application code with AI assistance.
🐛 Bug Fixes
Investigate errors and implement
potential fixes.
♻️ Refactoring
Improve existing project structure
and code quality.
🧪 Testing
Generate tests and address failing
test cases.
📖 Documentation
Write comments, documentation and
project text files.
🔌 APIs
Build and modify API endpoints,
clients and integrations.
🌐 Websites
Create and improve HTML, CSS and
JavaScript applications.
📱 Applications
Work on mobile, desktop and
web application code.
🏢 Enterprise Code
Assist with existing repositories
and engineering workflows.
Pros & Considerations
Aider Advantages & Limitations
✓ Advantages
Terminal-first AI coding workflow
Works with existing codebases
Codebase mapping
Strong Git integration
Supports multiple LLM providers
Can use local models
100+ programming languages
Automatic testing support
Linting integration
Web and image context
Voice-to-code capability
Open-source project
! Things To Consider
Terminal workflow may not suit everyone
Model API costs may apply
AI-generated code requires review
Configuration can be technical
Results depend on the selected model
Large tasks still require developer oversight
Local models may require capable hardware
Production code needs testing and security review
Comparison
Aider vs Other AI Coding Tools
Tool
Terminal
Git
Codebase Context
Local Models
Agentic Workflows
Aider
✓✓
✓✓
✓✓
✓
✓
Claude Code
✓✓
✓✓
✓✓
—
✓✓
Replit
✓
✓
✓
—
✓✓
Codeium
✓
✓
✓✓
Varies
✓
Tabnine
✓
✓
✓
✓
✓
Gemini Code Assist
✓
✓
✓
—
✓
Best For
Who Should Use Aider?
Great Choice For
💻 Developers who love the terminal
🔀 Git-based development workflows
🧠 Developers who want model flexibility
🛠 Open-source contributors
🏗 Existing repository development
🧪 Test-driven workflows
⚡ Developers automating repetitive work
🔐 Users interested in local models
Consider Other Tools If
🎨 You prefer a visual AI-first editor
🖱 You dislike terminal-based workflows
☁️ You want a complete browser IDE
🤖 You need highly autonomous agents
📱 You want a no-code application builder
Pricing
Aider Pricing
Aider itself is open-source, while the language
models used with it may have their own pricing.
Your total cost therefore depends heavily on
which model provider you connect.
Cost Area
What It Means
Typical Consideration
Aider Software
Open-source coding assistant
No traditional SaaS subscription required
Cloud LLM
API usage from a model provider
Usually usage/token based
Local LLM
Run compatible models locally
Hardware and electricity costs
Enterprise Usage
Organization-specific deployment
Depends on models and infrastructure
Always check the current Aider documentation
and your selected model provider's pricing
before estimating development costs.
Security
Using Aider Safely
🔐
Protect Secrets
Never expose passwords, API keys or
private credentials unnecessarily.
🔎
Review Diffs
Inspect AI-generated changes before
committing or deploying.
🧪
Run Tests
Validate generated code with automated
tests and manual checks.
🛡️
Security Review
Check authentication, authorization,
dependencies and sensitive code.
🌿
Use Git
Keep changes under version control
so unwanted edits can be reverted.
👨💻
Human Oversight
AI should assist developers rather than
replace engineering judgment.
Build Faster With AI Pair Programming
Bring AI assistance directly into your
terminal, work with your real codebase,
use Git to manage changes and choose
the language model that fits your workflow.
Aider is an AI pair-programming tool that
helps developers modify and understand code
using large language models, primarily from
a terminal workflow.
Yes. Aider is specifically designed for
AI-assisted software development and
pair programming.
Yes. Aider is designed around a terminal-based
coding workflow and can be launched from a
project directory.
Yes. Git integration is one of Aider's
important features, including support for
committing and reviewing AI-generated changes.
Yes. Aider can be used with an existing
codebase as well as for starting new projects.
Yes. Aider can help developers start new
projects and build application functionality
using AI models.
Yes. Aider creates a map of the codebase
to help the connected model work with
larger repositories.
Yes. Aider can connect to compatible local
language models as well as cloud-based models.
Yes. Aider is designed to work with multiple
LLM providers and model families.
Yes. Python is among the many programming
languages Aider can work with.
Yes. JavaScript is one of the programming
languages supported by Aider.
Yes. Aider can work with TypeScript and
other popular programming languages.
Yes. Aider supports automated testing workflows
and can run tests after making changes.
Yes. Aider can use linting results to
identify problems and help fix them.
Yes. Developers can ask Aider to generate
test cases and test implementations.
Yes. Aider can assist with restructuring,
simplifying and improving existing code.
Yes. Developers can provide an error or
describe a bug and ask Aider to investigate
and implement a possible fix.
Yes. Aider can edit documentation,
configuration files and other text-based
project files.
Yes. Aider supports adding images to
coding conversations when the connected
model supports the required capability.
Yes. Web pages can be added as reference
context for suitable coding tasks.
Yes. Aider provides a voice-to-code
workflow for describing development
tasks verbally.
Yes. Aider is an open-source project
available through its public repository.
The Aider software itself is open source.
However, the language models you connect
to may have their own API or usage costs.
When using hosted model providers through
their APIs, the provider's authentication
and API requirements apply.
Aider supports compatible Anthropic models
and can be configured to work with supported
Claude models.
Yes. Aider supports compatible OpenAI models
through its model configuration.
Yes. Aider supports compatible DeepSeek
models and has documented model configurations
for them.
No. Aider is an AI development assistant.
Human developers remain responsible for
architecture, security, testing and final
production decisions.
Aider is particularly suitable for developers
who are comfortable with Git and terminal-based
development and want flexible AI assistance
inside real repositories.
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