kluster.ai

Never ship broken AI code again

Software Engineering

Developer Tools

Artificial Intelligence

This is a great idea! it is always worth having a second set of eyes on what comes from AI, even if those eyes are AI!

Have enjoyed supporting the Kluster team on this launch — which, as an aspiring vibe coder, unlocks an entirely new level of productivity since rather than waiting for Greptile to remove my PRs, Kluster can check my code in real time, keeping me in flow!

Other things I dig:

• Intent-aware code reviews: Kluster leverages the conversation/history with your code assistant so reviews reflect what you actually set out to build, rather than only looking at the diff.

• Nuanced codebase understanding: Kluster auto-learns patterns from your existing code (naming conventions, frameworks in use, user tracking, dependency integrations, etc.) and enforces them like a “pilot's pre‑flight checklist.”

• Practical UX: clear, scannable findings and fast feedback that keeps momentum up during generation, not after.

This combination (real-time + intent context + codebase nuance) makes Kluster feel less like a linter and more like an expert reviewer embedded in your IDE.

Excited to see my shipping velocity soar!

I built a fully featured web app, Quizzme, using Google's coding agent Jules. I struggled a lot with the output errors. Kluster is definitely a product made for me. I wish I had heard of it sooner

I love it! This puts the magic back into agentic development. Even on complex projects where extensive context and deep reasoning can cause agents to drift from their original intent, verify can always nudge them back on course.

Let's be honest: reviewing thousands of lines of code in a big PR is incredibly difficult, and by that point, all the context over the intent is lost. It's much easier to review as we build, reducing the subtle mistakes agents can make so you can focus on architecting the solution instead of babysitting the agent.

There’s a strange double standard in how we treat code. We have rigorous processes for human-written code, but for AI-generated code, our standards have become surprisingly relaxed.

My background is in AI engineering for enterprise use cases, where we had guardrails for everything. But for coding, the standard has become to just trust the latest frontier model and hope for the best. This approach leads to bugs and bad engineering practices, like when even the top AI assistants confidently suggest outdated libraries with known vulnerabilities, or hallucinate packages that don't exist. kluster.ai catches that stuff in real-time, right where you're coding, before it ever becomes your problem.

Think of it as a safety net. If you’re learning, you can experiment without fear. If you’re building a business, you can ship with more confidence. It lets you focus on your actual product, not on babysitting the AI.

Give it a try and see what it finds for you!

As a vibe coder I've been using kluster.ai for a month or so now and it's caught so many bugs and security issues that otherwise I would have missed. Highly recommend other vibe coders give it a try.

I've known @julman99 for around 12 years now and I've been lucky enough to have access to kluster.ai verify for a couple of months now. Overall it's been a great experience and helped prevent a bunch of security issues that would have slipped in due to code generated in Cursor by Claude 4. It's also identified issues where Cursor wouldn't implement the exact requirement, but once the kluster.ai MCP tool runs and adds follow up instructions, Cursor is able to complete the task successfully. Has definitely saved me a lot of time and future headaches.

Great job as always Julio and co!

Hey Product Hunt!

"AI Transformation," right? Everyone talks about it, but few share how hard it really is. I've been part of many engineering teams - before AI and now during AI - and I know the pain: at first, developers resist learning the new tool. Then they make small, careful attempts to use it. And suddenly, one day, most of the team's code is AI-generated... and that's when the problems start - often in the least expected places: code review.

AI-generated code isn't reliable. It hallucinates, ignores project practices and guidelines... and honestly, it's often just bad. Teams end up spending huge amounts of time reviewing each other’s PRs. Sounds wild, right? But the real trouble begins when a new team member joins, hasn’t seen the codebase before, and blindly trusts the AI.

Experiences like this - and what every team is facing now - are exactly why we built kluster.ai. It dramatically reduces the pain in modern engineering workflows and makes AI-assisted coding lighter, safer, and more accurate. Instead of manual pull request reviews, kluster.ai does it for you in real time - right in the AI agent chat window - telling the AI what should be fixed and how to keep code clean, secure, and aligned with your project. No need to waste team time wrestling with raw AI-generated code.

We love using kluster.ai (even when building kluster.ai), and I'm sure you'll love it too. Please don't hesitate to leave feedback or reach out!

Ilya Starostin

Hey Product Hunt! I started a PhD in AI in 2013. Not long after, while working on generative models (remember VAEs and GANs 🙌?), it was clear something big was coming.

Today AI feels like a rocket ship. One of the most effective uses right now is writing code.. it’s a real productivity cheat code. But everyone soon realises the output still needs careful review for bugs and other problems.

I also love building developer tools, and have had the opportunity to work on dev tools used by leading AI teams to build the LLMs we use today.

kluster.ai builds on both: lightning-fast code reviews inside your existing IDE, wrapped in a tool that’s enjoyable to use. The result is higher-quality, more trustworthy code and greater velocity. It really helps maintain that flow state while coding.