About

Hi, I'm Kai, an AI Engineer and product builder from Vietnam. I enjoy turning AI ideas into real products that solve everyday business problems. Over the past few years, I've built AI platforms, voice assistants, automation tools, and AI Agents powered by LLMs. My current focus is building products that make AI accessible to everyone - from startups to enterprises. I love working on AI Agents, workflows, computer vision, speech AI, and mobile apps. Outside of work, I enjoy exploring new technologies, shipping side projects, and learning from other makers. Always happy to connect with founders, developers, and people building interesting products.

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Maker History

  • dolv
    dolvYour AI operator for content, CRM, and GTM execution
    Aug 2026
  • AI Hive
    AI Hive The no-code platform that gets AI agents into production
    May 2026
  • 🎉
    Joined Product HuntFebruary 18th, 2024

Forums

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5d ago

Vibe coding gets you to "it works" fast. What do you do on day 2?

Getting a working app out of a few prompts is the easy part now. What I keep running into is the day after: the app works, but I don't really know what's inside it.

A few things that bit me after the "wow, it runs" moment:

  • Realizing I couldn't explain how auth or data storage was actually set up

  • Fixing one bug and breaking something unrelated because I never saw the structure

  • Coming back a week later and not recognizing my own project

So I've started doing a short "day 2 pass" before I build anything new on top: skim the structure, check where secrets and user data live, and write a few lines about what the app does and how.

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15d ago

What's your "is it safe to ship?" checklist for AI-built apps?

AI can get me to a working app in a day, but "it works on my machine" and "it's safe for real users" are very different things.

The part that worries me is the boring stuff that's easy to miss when the code looks clean and everything runs: API keys sitting in the frontend, auth checks that exist on the page but not on the endpoint, database rules left wide open from the prototype stage, no rate limits on anything. The AI rarely warns you about these unless you ask, and by the time you think to ask, you've already moved on to the next feature.

Right now my pre-launch process is mostly manual and a bit random: I skim through the auth flow, search the repo for hardcoded secrets, and try to break things as a logged-out user. It catches some things, but I never feel fully confident.

I'd love to hear how others handle it:

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22d ago

If an AI agent can build your MVP in a weekend, what's actually the hard part of a startup now?

Building used to be the bottleneck. Now I can get a working app faster than I can write a good landing page copy for it. So the "idea guy with no code skills" excuse is basically gone.

But almost none of my vibe-coded weekend projects have real users, and I don't think that's a coding problem anymore.

For those of you actually getting traction - what's eating your time now that building isn't the bottleneck?

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