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 👏👏

@yev_yev_yev @hamza_afzal_butt thanks for the support, Hamza! please help us spread the word on X!

@yev_yev_yev @fmerian Awesome hunt Flo, quite a utility packed product

@fmerian Thanks so much for hunting and posting Flo! We're excited to get Jolt in the hands of every developer ⚡️

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

@yev_yev_yev keep up your great work, ?makers 👏👏

@yev_yev_yev Looks great! How does this compare to Cursor? I've been painstakingly struggling to get good results from Cursor when I combine searches across 5 code repos. Would be curious to see what you guys do differently

@kevinyun Great question. We developed a new way for AI to understand large codebases - so even if your repo is millions of lines, Jolt can accurately identify the context files. With Cursor and others, you'll likely need to manually select the context files - that is very tedious and time consuming. Jolt also makes file changes on its own, without you pointing the cursor to tell the AI where to insert code. Happy to give a demo and share more ⚡️

I have to discuss with my dev team. looks awesome!