Product Positioning & Context
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
Related Ecosystem & Alternatives
Discover adjacent products, open-source repositories, and developer tools sharing similar technical architecture.
Deep-Dive FAQs
What is Coldtea.ai?
Coldtea.ai is a digital product or tool described as: Make your software delivery self-driving
Where did Coldtea.ai originate?
Data for Coldtea.ai was aggregated directly from the Product Hunt community ecosystem, representing raw developer and early-adopter sentiment.
When was Coldtea.ai publicly launched?
The initial public indexing or launch date for Coldtea.ai within our tracked developer communities was recorded on August 7, 2026.
How popular is Coldtea.ai?
Coldtea.ai has achieved measurable traction, logging over 412 traction score and facilitating 70 recorded discussions or engagements.
Which technical categories define Coldtea.ai?
Based on metadata extraction, Coldtea.ai is categorized under topics such as: Software Engineering, Developer Tools, Artificial Intelligence.
Are there open-source alternatives related to Coldtea.ai?
Yes, the GitHub ecosystem contains correlated projects. For example, a repository named yaassin12/DeepSeek-V4-Pro-App shares highly similar architectural descriptions and topics.
How does the creator describe Coldtea.ai?
The original author or development team describes the product as follows: "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 A..."
Community Voice & Feedback
Really looking forward to checking this out!
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.
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?
What about downtine? How is that taken care of?
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.Thanks for your support—it means a lot!Try it now : https://www.coldtea.ai/
Discovery Source
Product Hunt Aggregated via automated community intelligence tracking.
Tech Stack Dependencies
No direct open-source NPM package mentions detected in the product documentation.
Media Tractions & Mentions
No mainstream media stories specifically mentioning this product name have been intercepted yet.
Deep Research & Science
No direct peer-reviewed scientific literature matched with this product's architecture.
SaaS Metrics