Unified Emacs interface for AI coding assistants. Integrates Claude Code, Gemini CLI, OpenAI Codex, and GitHub Copilot CLI. Enables developers to streamline coding tasks, generate code, and automate workflows directly within Emacs.
git clone https://github.com/tninja/ai-code-interface.el.gitUnified Emacs interface for AI coding assistants. Integrates Claude Code, Gemini CLI, OpenAI Codex, and GitHub Copilot CLI. Enables developers to streamline coding tasks, generate code, and automate workflows directly within Emacs.
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/tninja/ai-code-interface.elCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
I'm using ai-code-interface.el in Emacs to work with [CODEBASE] in [PROGRAMMING_LANGUAGE]. I need to [TASK] using [AI_TOOL] integration. Provide me with the appropriate commands and workflow to accomplish this efficiently.
# AI Code Interface Workflow for Python Project
## Setup
1. Load ai-code-interface.el in your Emacs configuration
2. Set your preferred AI tool (e.g., Claude Code) as default
## Workflow
- **Code Generation**: Use `M-x ai-code-generate` to create new functions based on your specifications
- **Code Explanation**: Select code and use `M-x ai-code-explain` to get detailed explanations
- **Error Debugging**: Use `M-x ai-code-debug` to analyze and fix errors in your code
## Example Output
```python
# Generated by AI based on your specifications
def calculate_average(numbers):
"""
Calculate the average of a list of numbers
Args:
numbers: List of numerical values
Returns:
float: The average of the numbers
"""
if not numbers:
return 0
return sum(numbers) / len(numbers)
```High-fidelity visual simulation with neural methods
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