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Sweep, the ai junior developer is used for bug fixes, feature requests, and refactors are handled. Imagine a tool that not only reads your codebase but also plans the necessary changes and writes pull requests complete with code, all in a lightning-fast manner.

Bugs, Small Features, and Refactors Made Easy

Sweep takes bug reports, minor feature requests, and refactors and handles them with ease. Just like you would guide a junior developer, Sweep comprehensively addresses these issues, streamlining the development process. Its workflow involves meticulous planning of code changes and generating pull requests that are ready to be merged into your repository.

Features That Streamline Development

Sweep brings a host of features to the table that make it an indispensable tool for any development team:

  1. Direct Pull Requests: Sweep effortlessly converts issues into pull requests, all without the need for an Integrated Development Environment (IDE). This seamless transition enhances collaboration and speeds up the development cycle.
  2. Engaging with Developers: Not only does Sweep create PRs, but it’s also capable of addressing developer replies and comments on its pull requests. This dynamic interaction fosters a smoother review process.
  3. Intelligent Code Search: Powered by embedding-based code and online document search, Sweep ensures that it grasps the context of your codebase. It understands the logic and flow, making its changes precise and relevant.
  4. Validation and Self-Review: Ensuring code quality is a priority, and Sweep doesn’t disappoint. It validates its changes using GitHub Actions and performs a self-review before presenting the pull request.
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Why Sweep Stands Out

Sweep isn’t just another experimental project. It’s a robust development tool trusted by startups, including its creators. Unlike some alternatives, Sweep isn’t limited to autocompletion in an IDE. It grasps the bigger picture by automatically understanding and navigating through your codebase. This eliminates the painstaking task of copying and pasting files between different contexts.

Sweep vs. Other AI Developers

Compared to alternatives like GPT-Engineer, Smol Developer, and AutoGPT, Sweep is uniquely tailored to enhance existing codebases. This focus aligns with the prevalent needs of developers who regularly work on improving code rather than generating boilerplate. In contrast, other tools excel at generating boilerplate code, which is already a well-solved problem.

Sweep vs. Cody and Bloop

Sweep stands apart from tools like Cody and Bloop by doing more than just chatting about code. It takes a step further by actively producing code changes. This practical approach ensures that your development tasks don’t halt at conversations but proceed to meaningful action.

Getting Started with Sweep

Adding the Sweep GitHub App to your repositories is the first step to harnessing its power. With support for a wide array of programming languages, including Python, JS/TS, Rust, Go, Java, C#, and C++, integration is a breeze. By adhering to specific issue title conventions, you can easily signal Sweep to pick up and address your development tasks.

Limitations of Using Sweeps

Sweep does have its limitations. Large-scale refactors involving extensive code changes and non-textual assets like images are areas where Sweep is evolving. Nonetheless, the tool is continually improving and evolving to meet the needs of developers.

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How Sweep was Created?

Sweep’s journey began with the frustration of dealing with small yet time-consuming tasks. Simple bug fixes, tiresome refactors, and minor feature implementations were hindrances. The team leveraged ChatGPT’s capabilities to bring this vision to life within GitHub. Unlike other AI solutions, Sweep takes on multiple tasks concurrently, promising a parallelized and asynchronous approach that boosts efficiency.

The Tech Behind Sweep

Sweep’s foundation rests on OpenAi’s GPT 3.5 and 4:

  • GPT-4 32k & GPT-3.5 16k: The powerful engines behind Sweep’s natural language understanding and generation.
  • GTE-base embedding model: Empowering Sweep’s code comprehension.
  • ActiveLoop DeepLake Vector DB: Fueling efficient data handling.
  • Modal Labs: The driving force behind infrastructure and deployment.

Pricing and Roadmap

Sweep’s pricing model offers flexibility, catering to a range of users. From unlimited GPT-3.5 tickets to GPT-4 tickets, there’s something for everyone. For professionals seeking priority support and features, Sweep Pro is available at a competitive monthly price. The roadmap showcases the team’s commitment to constant improvement.


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