The faster your team ships with AI, the harder it becomes to keep production stable. Not anymore. Coldtea is an agentic IDE where your coding agents build, visual QA agents catch regressions, and AI monitoring watches production, so your team can keep moving at agent speed without breaking anything
Coldtea brings your terminal, end-to-end testing and production monitoring into one agentic development environment.
Terminal: Run the agents you already use, in parallel, with shared context between them. No lock-in. Your workflows stay yours.
Visual QA agents: They drive your real app and catch regressions before your users do. And let you automate every release testing (supports iOS, Android and web)
AI production monitoring: Watches production after the deploy and tells you what broke, in plain language. Connects your logging, observability tools, and agent traces in one place, so you wake up to investigated fixes, not blind alerts
Tasks: Brings your engineering tasks closer to where you work. One place your team and your agents both work from, whether locally or in the cloud
Would love your feedback; I'm in the comments all day.
Thanks!
Shipping faster was never our hardest problem.
When I was a Staff Engineer at the world's largest meal kit brand, HelloFresh, what I personally obsessed over was the part after merging a PR: how do you know a regression didn't slip through, how do you know what production is doing right now, have we architected the product right, and where does the whole team go to see it all of this in one place? That question followed me home.
Then agents arrived and made it louder. I tried every tool out there, and my day turned into context-switching between them or stringing together a custom workflow. Orchestration in one tab, QA in another, monitoring somewhere else.
It took me a while to see why none of them fixed it. Every other agentic development environment out there is pointed at the same thing: build. Run more agents in parallel, ship faster, orchestrate better.
All of that is genuinely good, and all of it is the first act. Software delivery was never just building, so the tools that only do build hand the rest back to you to figure out.
So we spent the last five months rethinking what a holistic agentic development environment for engineering teams could look like, alongside some fast-moving teams.
This is how Coldtea was born.
Coldtea is an agentic development environment for the entire software lifecycle. Not bolted on, not an afterthought. Day zero. Agents can already work across the entire stack. The next era of development environments has to do the same. That's our thought process.
Would love your feedback, especially if you're the one who gets paged when the thing your agent shipped breaks.
That self-driving angle is a bold way to frame delivery, and I like that you didn't just call it "another CI/CD tool."
Congrats Ohans! The “every agentic environment is pointed at build, and build is only the first act” framing is the sharpest thing I’ve read on a launch page this month.
Here’s a case I’d love your take on. We run QA on a product whose output is itself AI-generated, so a given user action produces different content every run. Visual regression assumes a stable ground truth to compare against, and we don’t have one. Two runs of the same flow look completely different and both are correct. Today our QA people end up checking structural things instead, whether layouts hold, nothing overlaps, no empty states. Can a Coldtea QA agent be pointed at that kind of check, where the intent is a property that must hold rather than a screen that should match? Feels like a growing category of app given how many products now generate their own output.
Does everything work as one integrated system, or can the different parts be used independently? We're currently developing with Claude Code and Claude Design, but we don't have any really good tools for QA. Could we use your service specifically for QA, independently of the other parts?
Congrats on the launch.. My big build issues lie upstream of the QA agent.
Where does the test intent come from? If the coding agent and the QA agent both work off the same idea of what the feature should do, the check is a mirror.
And can Coldtea catch a test that always passes? Mine sat green for a week while a bunch of stuff was breaking, because it was only checking that a metadata column was present. That column could never be null, so every run came back legit.
A check that has never failed once is the thing I want flagged.
Congrats @fmerian for hunting another gem and Congrats #makers for the successful launch.
What happens when two agents make conflicting changes to the same part of the code?
Huge congratulations, Ohans and team! 🙌 For iOS/Android testing, do I need to already have an existing test suite, or can Coldtea generate the visual QA flows from scratch?
Question: What are the 3 hardest things in software delivery that you managed to solve with this platform? thanks 🙏
The promise sound great , but "agent speed without breaking anything" is a bold claim. I'd be interested in seeing how it perform on large , real-world codebases.
This is a very interesting design. How do the visual QA agents hold context of the actual intent?
We love coldtea! We use it to catch regressions and monitor our agents so our small and mighty team can move fast. It wouldn't be possible for us to move as fast as we do at @Brew without coldtea. 10/10!
Congrats on the launch @ohansemmanuel@favour_ohans 🎉 How does the visual QA agent handle apps with a ton of dynamic content, like feeds that change every load? Does it know what's a "real" regression vs just normal content shuffling?
A PR can be green, and the app can still be broken. A deployment can go through, and users can still find the bug. Your logs can tell you something went wrong, and you can still spend an hour figuring out what.
We spent a lot of time on that gap but also on what comes before it. What should an agent work on? What context does it need? And when it says it’s done, did it actually work?
That’s what pushed us to build Coldtea around the whole loop. The context carries through, from deciding what to build to an agent using the real app to check it to figuring out what happens when something breaks in production.
How much of that should an agent actually own? Where would you draw the line?
We build something internally like this, but this is next level greatness for any dev-team to use. Solving absolutely a problem shipping faster with AI. Nice integration with LangWatch ;)
Congrats on the launch @ohansemmanuel and team! Lets goo!
Excited to finally launch Coldtea on Product Hunt!
Proud to be part of the team behind Coldtea and grateful for everyone who helped us get here. We'd love to hear your feedback, answer your questions, and learn how you're using AI in your development workflow.
Love this direction. When most dev environments focus on building faster, @Coldtea.ai takes a different, calmer approach, focusing on building better. Agentic QA and monitoring, terminal and tasks, all in one place for less context-switching, and beautifully crafted by @ohansemmanuel and team.
Coldtea.ai launched on Product Hunt on August 7th, 2026 and earned 455 upvotes and 73 comments, earning #1 Product of the Day. The faster your team ships with AI, the harder it becomes to keep production stable. Not anymore. Coldtea is an agentic IDE where your coding agents build, visual QA agents catch regressions, and AI monitoring watches production, so your team can keep moving at agent speed without breaking anything
Coldtea.ai was featured in Software Engineering (42.8k followers), Developer Tools (517.2k followers) and Artificial Intelligence (475.5k followers) on Product Hunt. Together, these topics include over 198.3k products, making this a competitive space to launch in.
Who hunted Coldtea.ai?
Coldtea.ai was hunted by fmerian. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how Coldtea.ai stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
fmerian
Hi Product Hunt, Ohans here from @Coldtea.ai.
Coldtea brings your terminal, end-to-end testing and production monitoring into one agentic development environment.
Terminal: Run the agents you already use, in parallel, with shared context between them. No lock-in. Your workflows stay yours.
Visual QA agents: They drive your real app and catch regressions before your users do. And let you automate every release testing (supports iOS, Android and web)
AI production monitoring: Watches production after the deploy and tells you what broke, in plain language. Connects your logging, observability tools, and agent traces in one place, so you wake up to investigated fixes, not blind alerts
Tasks: Brings your engineering tasks closer to where you work. One place your team and your agents both work from, whether locally or in the cloud
Try it now: coldtea.ai
Would love your feedback; I'm in the comments all day.
Thanks!
Shipping faster was never our hardest problem.
When I was a Staff Engineer at the world's largest meal kit brand, HelloFresh, what I personally obsessed over was the part after merging a PR: how do you know a regression didn't slip through, how do you know what production is doing right now, have we architected the product right, and where does the whole team go to see it all of this in one place? That question followed me home.
Then agents arrived and made it louder. I tried every tool out there, and my day turned into context-switching between them or stringing together a custom workflow. Orchestration in one tab, QA in another, monitoring somewhere else.
It took me a while to see why none of them fixed it. Every other agentic development environment out there is pointed at the same thing: build. Run more agents in parallel, ship faster, orchestrate better.
All of that is genuinely good, and all of it is the first act. Software delivery was never just building, so the tools that only do build hand the rest back to you to figure out.
So we spent the last five months rethinking what a holistic agentic development environment for engineering teams could look like, alongside some fast-moving teams.
This is how Coldtea was born.
Coldtea is an agentic development environment for the entire software lifecycle. Not bolted on, not an afterthought. Day zero. Agents can already work across the entire stack. The next era of development environments has to do the same. That's our thought process.
Would love your feedback, especially if you're the one who gets paged when the thing your agent shipped breaks.