Caider

Caider is a macOS desktop application that turns GitHub issues into merged pull requests through a hands-off coding agent. It integrates with existing AI coding tools such as Claude Code and Google Antigravity, allowing users to leverage their current AI plans without additional inference costs. The entire workflow is managed within GitHub, so no new interface is required. The process begins when a user files a GitHub issue and adds the "caider" label. The agent analyzes the repository on the user's Mac, posts a structured proposal including planned changes, open questions, and risks. After iterative discussion and approval in the issue thread, the agent implements the changes locally, runs configured tests, and opens a pull request. Change requests and inline comments trigger revision rounds, and approving the PR review auto-merges with squash. Caider emphasizes security and privacy: execution runs on the user's own Mac, and code never leaves the machine. All errors are posted directly to the issue, with a retry option available. The tool is currently available for macOS and free during early access.

Category: B2C
Pricing: Paid

Problem solved

Caider automates the transition from GitHub issue to merged pull request, allowing developers to delegate coding tasks to an AI agent that runs locally and uses existing AI plans, reducing manual coding effort and infrastructure costs while maintaining code privacy.

Use cases

Automatically implement GitHub issues into pull requests
Review and approve coding tasks from anywhere via GitHub
Run local AI coding agents using existing Claude Code or Antigravity plans
Maintain code privacy by keeping source code on your own Mac
Handle routine bug fixes and feature requests from issue reports
Iterate on proposals before implementation to reduce surprises
Auto-merge approved pull requests with squash

Audience

Developers
ML Engineers
Data Scientists
Startups
Hobbyists

Pros

Uses your existing AI plan, no new inference bill
Runs locally on your Mac, code never leaves your machine
GitHub-native interaction, no new UI to learn
Structured proposals with risks and open questions
Automatic revision and merge on approval

Cons

macOS only, no Windows or Linux support
Requires existing AI plan with Claude Code or Antigravity
Free only during early access, pricing not disclosed
Depends on your Mac being online and available
Limited to GitHub repositories

Official website: https://caider.dev/

Canonical LambdaBase page: https://www.lambdabase.com/tools/caider

← Directory

Caider

Paid

★ 1 • Updated Aug 18, 2026, 03:10 AM

Caider is a macOS desktop application that turns GitHub issues into merged pull requests through a hands-off coding agent.

Use Cases ▼

Automatically implement GitHub issues into pull requests

Review and approve coding tasks from anywhere via GitHub

Run local AI coding agents using existing Claude Code or Antigravity plans

Maintain code privacy by keeping source code on your own Mac

Handle routine bug fixes and feature requests from issue reports

Iterate on proposals before implementation to reduce surprises

Auto-merge approved pull requests with squash

What Problem It Solves ▼

Key Features ▼

✓

Uses your existing AI plan, no new inference bill

✓

Runs locally on your Mac, code never leaves your machine

✓

GitHub-native interaction, no new UI to learn

✓

Structured proposals with risks and open questions

✓

Automatic revision and merge on approval

Overview

Full Description ▼

The process begins when a user files a GitHub issue and adds the "caider" label. The agent analyzes the repository on the user's Mac, posts a structured proposal including planned changes, open questions, and risks. After iterative discussion and approval in the issue thread, the agent implements the changes locally, runs configured tests, and opens a pull request. Change requests and inline comments trigger revision rounds, and approving the PR review auto-merges with squash.

Caider emphasizes security and privacy: execution runs on the user's own Mac, and code never leaves the machine. All errors are posted directly to the issue, with a retry option available. The tool is currently available for macOS and free during early access.