🤖 AI coding agent for your terminal.

⚡ Support variety of LLMs like OpenAI, Anthropic, Gemini, Grok, DeepSeek, Qween and more.

🧠 Context-aware code completions.

📊 Maintains conversational and code context per session.

🌳 Summarize Full Project Context using Tree-sitter.

➕ Adding new features or test cases.

🔄 Refactoring code structure and efficiency.

🐛 Describe and suggest fixes for bugs.

✅ Code Review Assistance and optimize code quality.

✔️ Accept and apply AI-generated code changes.

📚 Generate comprehensive documentation.

🌐 Works with multiple programming languages such as (C#, Go, Python, Java, Javascript, Typescript).

⚙️ Adjust settings via a config file.

🗂️ Enable the AI to modify several files at the same time.

💳 Track and represent the token consumption for each request.

To install codai globally, you can use the following command:

go install github.com/meysamhadeli/codai@latest

Simply provide your API key, and it just works!

export API_KEY="your_api_key"

For more advance configuration add a codai-config.yml file in the root of your working directory or using environment variables to set below configs globally as a configuration.

The codai-config file should be like following example base on your AI provider:

codai-config.yml

ai_provider_config:
  provider: "azure-openai"
  base_url: "https://test.openai.azure.com"
  model: "gpt-4o"
  api_version: "2024-04-01-preview"     #(Optional, If your AI provider like 'AzureOpenai' or 'Anthropic' has chat api version.)
  temperature: 0.2     #(Optional, If you want use 'Temperature'.)
  reasoning_effort: "low"     #(Optional, If you want use 'Reasoning'.) 
theme: "dracula"

If you wish to customize your configuration, you can create your own codai-config.yml file and place it in the root directory of each project you want to analyze with codai. If no configuration file is provided, codai will use the default settings.

You can also specify a configuration file from any directory by using the following CLI command:

codai code --config ./codai-config.yml

Additionally, you can pass configuration options directly in the command line. For example:

codai code --provider openapi --temperature 0.8 --api_key test-key

This flexibility allows you to customize config of codai on the fly.

.codai-gitignore

Also, you can use .codai-gitignore in the root of your working directory, and codai will ignore the files that we specify in our .codai-gitignore.

To use codai as your code assistant, navigate to the directory where you want to apply codai and run the following command:

codai code

This command will initiate the codai assistant to help you with your coding tasks with understanding the context of your code.

🌀 This project is a work in progress; new features will be added over time. 🌀

I will try to add new features in the Issues section of this app.

If you like my work, feel free to:

• ⭐ this repository. And we will be happy together :)

Thanks a bunch for supporting me!

Thanks to all contributors, you're awesome and this wouldn't be possible without you! The goal is to build a categorized, community-driven collection of very well-known resources.

Please follow this contribution guideline to submit a pull request or create the issue.