Swimm

Congrats on the launch team! What an exciting day.

This is another step of making developers use their time for what's important, actually coding!

Awesome - Nothing worse that staring a blank doc. This will make life much more efficient.

I'm in, congrats to the team!

The future of documentation sounds like a reasonably ambitious goal! Congrats on the launch :)

Hey Swimm team, kudos on launching Swimm AI Beta🎉 As a frequent user of code documentation tools, I'm thrilled to see how Swimm AI enhances the documentation process by leveraging AI capabilities. The concept of Auto-sync to ensure up-to-date documentation is ingenious and I'm looking forward to seeing it in action. I'd like to provide a couple of recommendations for consideration: The feature to generate documentation from PRs is impressive. It could be taken a step further if there was a way to directly link the generated documentation back to the PR, allowing easy access and understanding of the changes made and why they were made. Additionally, consider integrating with popular code hosting platforms like Bitbucket or GitLab to extend your user base and facilitate seamless documentation for users on these platforms. I'm also launching soon with ezML, a no-code platform for AI (computer vision) development, so feel free to follow us at https://www.producthunt.com/prod.... Once again, congratulations on the launch! I'm looking forward to seeing where Swimm AI heads, and I believe it has a great potential in improving the coding landscape.

Congratulations on the introduction of Swimm AI, a remarkable tool that generates code documentation from scratch! The ability to ensure that developer knowledge surfaces precisely when it is needed the most is truly invaluable. As a software developer, I understand the significance of comprehensive and easily accessible documentation in enhancing productivity and collaboration. To gain a deeper understanding of Swimm AI, I'm curious about the underlying mechanisms that enable the generation of code documentation. How does Swimm AI analyze codebases and extract relevant information to create accurate and up-to-date documentation? Does it employ specific parsing techniques, natural language processing (NLP), or other AI algorithms to extract meaningful insights from the code? Additionally, the emphasis on surfacing developer knowledge at the right moment is intriguing. Could you elaborate on how Swimm AI achieves this? Are there specific integrations or features that allow developers to access the relevant documentation seamlessly during their coding workflow? How does Swimm AI ensure that the generated documentation stays synchronized with the codebase as it evolves over time? Moreover, the opportunity to join the open beta and experience the future of documentation is enticing. Could you provide more details about the key features and benefits that users can expect from Swimm AI? Are there any plans to introduce additional functionalities or integrations in the future? Overall, Swimm AI appears to be a promising solution for code documentation, empowering developers with instant access to knowledge. Congratulations once again on this impressive achievement. I'm eager to learn more about the technical aspects of Swimm AI and how it revolutionizes the way we document and share knowledge within the development community.