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Emacs frontend for the pi coding agent

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dnouri/pi-coding-agent

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pi-coding-agent

An Emacs frontend for the pi coding agent.

Features

Requirements

Installing pi coding agent

Installation

MELPA

Once available on MELPA, you can install directly:

Or with use-package:

If you don’t have MELPA configured, add this to your init file:

Manual installation

Clone the repository and add to your load path:

Or with use-package:

Usage

Start a session with M-x pi. This opens two windows:

Type your prompt and press C-c C-c to send. Press C-c C-p for the full command menu.

For multiple sessions in the same directory, use C-u M-x pi to create a named session.

Key Bindings

Press C-c C-p to access the full menu with model selection, thinking level,
session management (new, resume, branch, export), statistics, and custom commands.

Tips & Tricks

✏️ Composing Prompts

The input buffer is a full Emacs buffer, one of the main advantages over
terminal interfaces. Take your time composing, write multi-line prompts,
paste from other buffers, use registers or kill-ring history. Your prompt
stays put while the AI responds above.

Slash commands (/command) work with completion: type / then TAB to
see available commands, including your custom ones from ~/.pi/commands/.

🔧 Tool Output

Tool output is collapsed by default to keep the chat readable, with a
preview of the first few lines visible. Press TAB on a tool block to
expand and see everything. File operations (read, write, edit) show full
syntax highlighting, and edit diffs highlight what changed. Long-running
commands stream output live so you can watch progress.

📁 Folding Turns

Press TAB on a turn header (You/Assistant) to fold it, TAB again to
unfold. Use S-TAB to cycle visibility of all turns at once.

💾 Sessions

Each project directory gets its own session automatically. To run multiple
sessions in the same directory, use C-u M-x pi to create a named session.

Resume (C-c C-r) and branch (C-c C-p b) present a selection menu:
pick from previous sessions or conversation messages to start from.

🌿 Branching and Context Management

When a conversation gets long, the AI’s context window fills up. The menu
(C-c C-p) offers tools to manage this:

The context indicator in the status area shows current usage, warning
when getting full.

Configuration

Example configuration with use-package:

Testing

Running tests locally

Requires Docker for integration and GUI tests (Ollama runs in a container).

GUI tests with visible window

By default, GUI tests auto-detect whether to show a window or run headless.

CI setup

GitHub Actions runs on every push:

Nightly builds test against multiple pi versions (0.30.2, latest, and main branch).

Links

License

GPL-3.0-or-later. See LICENSE.

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Emacs frontend for the pi coding agent

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