Jolt is your instant codebase expert. It's an AI codegen and chat tool for 100k to multi-million line codebases that automatically identifies context files, handles multi-file changes, and matches your code style.
AI is shaping how we code.
There are amazing products for rapid prototyping and small codebases. However, larger, real-world codebases are still a challenge for most of them.
Jolt AI solves it with its codegen and chat tool — purpose-built for production codebases and perfect for engineering teams with 100K to 1M+ line codebases.
May this be the future of production-ready AI developer tools. Keep up your great work, @yev_yev_yev and team 👏👏
I am pleasantly surprised at how fast the AI coder space is improving.
You are solving a genuine problem. Lovable and bolt etc are good for single page apps but real world tools require multiple modules and at times hundreds of files.
Congratulations on the launch and best of luck to the entire team
I recommend it because it makes it much easier to work with large codebases. With this tool, you can easily work with projects from 100 thousand to several million lines of code. It instantly detects the context of files, helps with changes to multiple files at once, and adapts perfectly to the code style.
Been following the Jolt team for some time, favorite new AI coding tool for large codebases!
Congratulations on the launch. Many tools work well for small projects but fail to scale with large codebases. I appreciate the focus on production-ready features for massive codebases. That’s exactly what’s been missing in our developer toolkit space.
Incredible! Going to start using this with my company soon as the ability to work with large codebases has always been a limitation of other tools.
Day one with Jolt went smoothly, it really goes above and beyond with code updates. Keep up the great work!
Hey Product Hunt - thanks you all so much for the support!
We built Jolt to address a major gap in AI coding tools - they struggle with larger, real-world codebases and cannot accurately determine the context files for your prompt.
We developed a novel way for Jolt to understand large codebases and automatically determine context files. Our approach scales to multi-million line codebases - the largest codebase using us in production is over 8M lines.
Manually selecting context files is a non-starter when you're working on larger codebases or unfamiliar code. It's a broken product experience. Most AI coding tools rely on some flavor of vector-embedding RAG to determine the files related to your prompt. The reality is that vector-embedding search is not effective on code, and there is a sharp drop in efficacy as codebase size increases.
Here's what folks are using Jolt for:
- Writing code, tests, and refactoring
- Onboarding developers
- Brainstorming a feature's implementation
- Asking questions about OSS repos
- Writing documentation, including mermaid charts
- Contributing across the stack
Thanks again and let us know what you think
Great to see a product with effort on big codebase! Exciting. Congrats on the launch! 😀
Interesting concept! The ability to handle multi-file changes and match code style in huge codebases sounds super helpful. I’d love to know how it figures out which context files are relevant—seems like it could save a lot of digging around.
