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JACoB – Open-Source AI Coding Agent for Real-World Productivity

Hacker News

JACoB – Open-Source AI Coding Agent for Real-World Productivity

Hi, we're Kevin, Chris, and Brian, the creators of JACoB (Just Another Coding Bot), an open-source AI coding agent designed to streamline the development process. As veteran developers, we know that while AI isn't perfect, it can be a valuable tool for tasks like code reviews, converting designs to React components, and writing high-quality GitHub issues. We’ve been building JACoB over the past year to assist with our real work, and today we’re open sourcing it under an Apache 2.0 license. Our goal is to create the first fully open-source tool that matches the quality and polish of many closed-source alternatives. JACoB focuses on specific, time-consuming tasks that AI handles well, like generating code from Figma designs, fixing simple bugs, and writing boilerplate code like API endpoints. You can even converse with JACoB to refine existing GitHub issues or help write new ones. It integrates seamlessly into your workflow, from GitHub issues to pull requests, ensuring all code passes tests before finalizing. JACoB is available on GitHub today, where you can customize it to your needs, such as running with local models. We're also developing a hosted version - sign up for the waitlist at https://jacb.ai . Currently, JACoB works best with JavaScript or TypeScript projects, especially with frameworks like Next.js. To evaluate JACoB’s real-world abilities, we created our own benchmark arena since none existed for design-to-code tools. JACoB outperformed eight popular tools and human-written code, scoring an ELO of 1183, over 100 points higher than the nearest competitor. More details on how we achieved this are available in the technical whitepaper found in the repo. AI is transforming software development, and we believe developers should lead this change, not large corporations. JACoB is our contribution to that future, respecting your privacy and security while remaining transparent and open. We'd love your feedback. Visit our GitHub repo to try it out and find more demo videos and a link to our technical whitepaper. https://github.com/jacob-ai-bot/jacob Let's build the future of AI in software development together. We’re excited to hear your thoughts and answer any questions!

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Product HuntOn track for Day 1 leaderboard · Strong signals: agent, model, new · Missing: mac, agents, macos
94%94% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Indie HackersFits the IH revenue-focused audience · Strong signals: created · Missing: supports, reddit linkedin, podcasting
92%92% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: excited, exist, lua · Missing: https docs, just released, open source
62%62% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoMay struggle as an AppSumo deal · Strong signals: reviews, host · Missing: plus, platform, intuitive
30%30% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: video · Missing: mobile apps, ios, personal
30%30% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
11%11% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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