CodeAutopilot
Autopilot is an AI-based software development tool designed to automate several aspects of the coding process. It functions as an AI-driven...
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What is CodeAutopilot?
CodeAutopilot is an AI-powered GitHub companion that brings ChatGPT capabilities directly into your GitHub account, automatically solving bugs, answering questions, generating Pull Request summaries, and more. It leverages state-of-the-art Language Models (SOTA LLMs) to assist software developers in automating tasks, fixing bugs, and reviewing code, making it an indispensable asset for modern development teams.
The tool works by integrating seamlessly with GitHub issues and Pull Requests. When you create an issue with a task description and mention @autopilot, it indexes your repository and replies with a suggested coding solution. It can implement new features, fix bugs based on bug tickets, open Pull Requests with one click when you're satisfied with the solution, and review Pull Requests by commenting with explanations of the author's intent and improvement suggestions. You can also chat with Autopilot directly in Issue or Pull Request threads to refine solutions and ask questions.
CodeAutopilot is designed for software developers, innovators, and development teams who want user-friendly AI coding without advanced dev skills. It provides the support of a dedicated AI development team for every software developer, empowering individuals to accomplish more. The tool is compatible with virtually any programming language, works across multiple repositories, and preserves your existing GitHub workflow.
CodeAutopilot pricing
Pricing model: Freemium
Starter (Free): ~5 issues, implement features/solve bugs/ask questions, analyze Pull Requests, access to GPT-4. Individual ($19/month): ~30 issues/month, implement features/solve bugs/ask questions, analyze Pull Requests, get support with the founder. Enterprise ($300/month): use private self-hosted LLMs, unlimited issues, implement features/solve bugs/ask questions, analyze Pull Requests, get support with the founder. Billing is per organization, and all repositories within the same organization count towards usage.
CodeAutopilot pros
- Seamless GitHub integration preserving existing workflow
- Automatically solves bugs from GitHub issues
- Implements new features from task descriptions
- One-click Pull Request creation from solutions
- AI-powered PR reviews with change summaries
- Real-time chat with @autopilot in threads
- Access to GPT-4 on all plans
- Compatible with virtually any programming language
- Works across multiple repositories
- Full codebase integration beyond single repo
- No code storage after issue resolution
- Free tier with ~5 issues to try
- Founder support on Individual and Enterprise plans
- Indexes repository automatically on first issue
- Copy-paste ready code snippets
CodeAutopilot cons
- Free tier limited to ~5 issues only
- Individual plan capped at ~30 issues/month
- Enterprise plan at $300 may be expensive for small teams
- Code snippets sent to OpenAI API (external dependency)
- Test creation feature still coming soon
- Documentation generation still coming soon
- Release notes creation still coming soon
- Requires enabling Issues feature on repository
Frequently asked questions about CodeAutopilot
Does Autopilot work with my programming language?
Yes, Autopilot is compatible with virtually any programming language you prefer. The AI-powered coding agents driven by state-of-the-art LLM models provide support for a wide range of coding tasks regardless of the language.
Where is my code sent to?
Your code snippets are securely sent to OpenAI's API. Rest assured, OpenAI does not use your data for training their models. You can read more about this in OpenAI's terms.
How many repositories can I install Autopilot on?
You can install Autopilot on as many repositories as you need. Billing is per organization, and all repositories within the same organization count towards your usage. The tool is designed to collaborate seamlessly across multiple repositories.
Do you store my code?
No, we do not store your code. Autopilot temporarily retains a copy of your code while resolving an issue. Afterward, we only store metadata about your repository, not the source code.
How do I invoke Autopilot on a task?
To invoke Autopilot, mention @autopilot in your issue descriptions. Create a new issue in your GitHub repository describing the task you want to automate, include @autopilot in the text, and Autopilot will start indexing your repository and reply with a suggested solution, usually within a few minutes.
Can I chat with Autopilot after it proposes a solution?
Yes, you can chat with Autopilot by posting new comments with @autopilot anywhere in the text. This allows you to refine the solution, ask questions, get more information about how the codebase works, and collaborate on the implementation.
What features are coming soon?
Upcoming features include: creating tests, helping build tasks that are comprehensive and refined, rewriting commits and pull request descriptions, creating release notes, and creating documentation. These features will expand Autopilot's automation capabilities further.
What prerequisites do I need to use Code Autopilot?
You need a GitHub account and your code must be hosted on a GitHub repository. If you don't have a GitHub account, you can create one on GitHub. You also need to enable the Issues feature on your repository if it's not already visible (Settings -> General -> Features).
How does Autopilot review Pull Requests?
When you open a Pull Request, @autopilot automatically comments on the PR with the intent of the author and additional improvements if any. It aids in reviewing by explaining the intent, offering suggestions for improvement, and providing summarized changes to help make informed decisions before merging code.
What makes Autopilot different from regular ChatGPT?
Autopilot is ChatGPT inside your GitHub account specifically designed for development workflows. It directly integrates with GitHub issues and Pull Requests, has full codebase integration to understand your entire codebase context, can open Pull Requests automatically, and works as an AI dev team member that incorporates into your existing development process rather than requiring you to switch tools.