With more than 1k active repositories and 200+ developers, making documentation accessible to the devs at Recursion isn't just a nice to have — it's a necessity. Here's how Swimm helped the team at Recursion make documentation accessible and trustworthy. Read the full case study → https://lnkd.in/dNyi6gzg
Swimm
Software Development
New York, NY 8,092 followers
AI powered by your teams’ collective knowledge
About us
Swimm is an AI coding assistant that helps developers quickly understand big, complex codebases—and seamlessly captures knowledge to fill in any documentation gaps.
- Website
-
https://www.swimm.io
External link for Swimm
- Industry
- Software Development
- Company size
- 11-50 employees
- Headquarters
- New York, NY
- Type
- Privately Held
- Founded
- 2019
- Specialties
- Software Documentation, Code Documentation, DevTools, Developer Tools, Developer Productivity, software engineering, AI, ai coding tools, and ai developer tools
Products
Swimm
Knowledge Management Software
Swimm is an AI coding assistant that helps developers quickly understand big, complex codebases—and seamlessly captures knowledge to fill in any documentation gaps.
Locations
-
Primary
200 Park Ave S
New York, NY 10003, US
-
Daniel Frisch 3
Tel Aviv, Israel, IL
Employees at Swimm
Updates
-
PSA: Swimm can automatically generate documentation for your entire codebase. Join Omer and Gilad tomorrow, Wed Aug 7 at 12 EST/16 GMT for a live event unveiling our latest feature: Auto-docs. Save your seat→ https://lnkd.in/eyvnBid9
-
📣 "You can't solve documentation problems if you do the same thing you've always done." - Anthus Williams, Associate Director of Engineering at Recursion
-
Ok here's a riddle: what's both a lifeline and a liability? Legacy code, of course! Join Gilad and Omer for a webinar next Wed, August 7 at 12 EST / 16 GMT to hear about our newest (and arguably most exciting) feature: Auto-docs. Get a firsthand look at: 👆Achieving full doc coverage, without the manual effort ✌️Language agnostic documentation, Cobol included 🤟How AI can grasp the complex relationships that exist in your codebase. Save your seat → https://lnkd.in/eyvnBid9
-
Legacy code can be both your lifeline and a liability. Join us to see how easy it is to document legacy systems at scale and how AI can transform your codebase from an obstacle to an asset. On Wed, Aug 7, Omer Rosenbaum and Gilad Navot will share insights on: - Leveraging AI to decode intricate codebases - Maintaining living documentation that evolves with your code - Quantifying the ROI of improved code understanding Reserve your spot → https://lnkd.in/eyvnBid9
-
Wish you could read your dev team's minds? Don't worry, we did it for you. Even with rapid technological advancements in AI, one thing hasn’t changed: the need to understand code. More often than not R&D organizations lack effective knowledge-sharing processes – especially when it comes to documentation. Learn more about what developers want and need in our study of 200+ US-based full-time software engineers, senior managers, and executives. https://lnkd.in/djQMeFGb
-
Nobody likes negativity, especially LLMs. Negation is intuitive and straightforward. When someone tells us not to do something, our minds can quickly adjust our actions. On the flip side, foundational models have an interesting habit of missing or not quite getting negative instructions. Learn more about the pitfalls of LLMs and the best practices for prompts with our very own CTO, Omer Rosenbaum. https://lnkd.in/eHQQ_M-x
Understanding the Relationship Between LLMs and Negation - Swimm
https://swimm.io