Finally, a tool that makes AI-generated code feel safe to use.
I’ve been using Kluster to verify code produced by AI assistants, and it’s quickly become one of my favorite dev tools this year. The real-time feedback is surprisingly accurate. It catches subtle logic errors and mismatched intent before they turn into bugs. It feels like a safety net for working with Copilot-style tools. The product still has room to grow, but the idea is powerful: bringing trust and accountability to AI-assisted coding. If you’re serious about using AI in your development workflow, this is absolutely worth trying.
Latency – Real-time checks are great, but response time sometimes lags a few seconds when analyzing larger code blocks.
Occasionally it flags code that’s correct within the project context; deeper understanding of the full repo would make feedback smarter.
Hey everyone! 👋
I'm Julio, CEO and founder of kluster.ai.
Like many of you, we started using AI to write code faster. But we quickly hit the same wall everyone does: AI-generated code that looked perfect but broke our product and ultimately slowed us down. With 15 years of experience building cutting-edge AI and enterprise systems, our team decided to fix the problem right at the source.
kluster.ai reviews code instantly as AI writes it - right in your IDE. Works with Cursor, VS Code and Claude Code. It catches bugs, security issues, and those weird moments where AI builds something you never asked for. Everything gets fixed automatically before it makes it into your code.
What makes us different is we review code in real-time using the whole picture - the AI conversation, your codebase patterns, and your past decisions. Every review makes the next one better as kluster.ai learns what matters to your specific team.
Did I mention the first month is on us for all Product Hunt users?
You'll be amazed at what it catches while you code. Drop a comment about what it found!
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.
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
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!
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.
@marta_funk Thanks for sharing! Glad kluster.ai is helping you catch issues — we hope more vibe coders give it a try.
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!
kluster.ai
Thanks a lot Tomi! Glad you found it useful!