For much of 2025, the conversation around coding agents revolved around a single question:
Which tool should I use? Claude Code, Cursor, Codex, OpenCode, or Aider?
But more and more developers are reaching a different conclusion:
the answer isn’t to choose a single tool.
It’s to combine them.
And one of the most interesting hybrid stacks that’s emerging combines Claude Code with Aider, leveraging MCP to connect both worlds.
Because Aider remains one of the fastest and most efficient tools for pair programming in the terminal, while Claude Code brings workflows, subagents, plugins, and a growing ecosystem of tools.
The combination turns out to be surprisingly powerful.
What is Aider?
If you haven’t heard of it yet, Aider is one of the most popular open source projects in the AI coding ecosystem.
Its proposition is simple:
pair programming directly from the terminal.
Aider works on your local repository, modifies real files, executes commits, interacts with Git, and allows you to collaborate with multiple models from a single interface.
And it remains one of the favorite tools for developers who prefer completely terminal-first workflows.
Why combine it with Claude Code?
Because both solve different problems.
Claude Code excels at:
- long workflows,
- subagents,
- plugins,
- hooks,
- automation,
- operational memory.
Aider excels at:
- quick file editing,
- interactive pair programming,
- efficient context usage,
- deep Git integration,
- extremely smooth terminal experience.
Together they form a very interesting hybrid stack.
Use case #1: Claude plans, Aider implements
An increasingly common workflow:
- Claude Code analyzes the task.
- Claude generates an implementation plan.
- Aider executes iterative changes to the code.
- Claude reviews the final result.
This approach typically reduces token consumption considerably on large tasks.
Use case #2: Local-first development
Many teams are trying to minimize external dependencies.
Aider fits perfectly in this model:
- runs locally,
- works on local repos,
- can use multiple providers,
- supports local models via Ollama.
Combined with Claude Code, you get a hybrid experience where most of the work happens on your own machine.
Use case #3: Pair Programming from the terminal
There are developers who practically never leave the terminal.
For them, Aider remains one of the best experiences available.
Example:
aider app.py
Then:
Refactor this endpoint to use async/await
or:
Add tests for this module
Everything happens directly within the session.
Installation
The easiest way to install Aider is using uv.
uv tool install aider-chat
You can also install it using pip:
pip install aider-chat
Verify the installation:
aider --version
First use
Enter your project:
cd my-project
Start Aider:
aider
You can also open specific files:
aider src/auth.py tests/test_auth.py
Configuring models
By default, Aider can work with multiple providers.
Examples:
aider --model sonnet
or:
aider --model gpt-5
It also supports OpenRouter, DeepSeek, Gemini, and local models via Ollama.
MCP Integration
Aider is becoming increasingly friendly with MCP workflows.
This means it can coexist within broader environments alongside:
- Claude Code,
- memory tools,
- observability,
- documentation servers,
- internal systems.
The result is a specialized agent for code editing that can benefit from the context and capabilities provided by the rest of the stack.
Why does it matter?
For years we tried to find the perfect editor.
Now we’re trying to find the perfect agent.
We’re probably making the same mistake.
Because the direction the ecosystem seems to be heading isn’t:
a single universal agent.
But:
multiple specialized tools working together.
Claude Code for coordination.
Aider for pair programming.
MCP for integration.
Memory for persistence.
Observability for debugging.
The future of AI-assisted development probably isn’t a single product.
It’s probably a stack.
And Aider remains one of the most solid pieces of that stack.
Repository: GitHub - Aider-AI/aider: aider is AI pair programming in your terminal · GitHub