What is CheepCode?
CheepCode offers an innovative solution for automating software development tasks by utilizing AI agents to process tickets from Linear and generate corresponding GitHub pull requests. The platform eliminates manual overhead by enabling users to connect their GitHub repositories and Linear projects within seconds, allowing dozens of AI agents to work through backlogs simultaneously while maintaining efficiency and scalability.
With its simple pricing model of $1 per pull request and a quick setup process, CheepCode empowers teams to accelerate shipping, automate code contributions, and manage development backlogs effectively, all without compromising code quality or productivity.
Features
- AI-Powered Coding Agents: Automates the generation and submission of GitHub pull requests.
- Easy Integration: Quick setup by connecting GitHub repositories and Linear projects.
- Scalable Parallel Processing: Multiple AI agents work through backlogs simultaneously.
- Transparent Pricing: Only $1 charged per completed pull request.
- No Manual Coding Required: Users manage everything through configuration and platform connection.
Use Cases
- Automating ticket resolution by generating code changes for Linear tickets.
- Accelerating code delivery with AI-managed pull requests.
- Managing large development backlogs efficiently for engineering teams.
- Reducing manual effort in code creation and review workflows.
- Scaling software delivery without expanding developer resources.
FAQs
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How do I get started with CheepCode?
To get started, sign up and connect your GitHub repository and Linear project. Configuration takes only a few seconds, and the automation process begins once connected. -
What is the cost per pull request generated by CheepCode?
CheepCode charges a flat rate of $1 for each pull request generated and submitted by its AI agents. -
How many free results do new users receive?
New users can access their first five results free of charge.
Helpful for people in the following professions
CheepCode Uptime Monitor
Average Uptime
100%
Average Response Time
143 ms
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