Had an AI tool invent a date library name that didn't even exist on NPM. It mocked the imports locally so tests passed fine but CI broke the moment we tried a real build.

Pretty scary how legit the fake package name looked. Now we run full fresh installs in sandbox containers before pushing anything.

Has an AI coding assistant ever hallucinated fake dependencies in your project? How are you catching them early?

I've been using AI pretty heavily while building a production mobile app, and something surprised me.

Writing the code became much faster.

Might anyone have some open URLs of their Vibe coded prototypes on Lovable / V0 / Bolt / Figma Make or Claude Code? I'm looking for some prototypes without logins to test a new version of our product which we'll be announcing next week. I'd like to check it on some existing Vibes.

Bonus points if you have a task for me to user test for you, I'd gladly share feedback.

Had a fascinating discovery call yesterday. Founder showed me their SaaS - built entirely with Cursor in one weekend. Stripe payments, auth, admin panel. Actually works great, they're at $11k MRR.

Then they opened the codebase.

Vibecoding gave me speed, and quietly took something back. A clear picture of what I'm actually building.

I can see every diff. The AI ships feature after feature. But when I zoom out, I've lost the thread. What's really in here now, how the pieces fit, whether I'm still heading where I meant to go. The commits tell me what changed. Nothing tells me what it means, or where it's quietly drifting.

When I wrote everything myself, that map lived in my head for free. Now the code moves faster than my understanding of it, and the gap keeps widening.

So for people building fast with AI: what keeps you oriented? A tool, a ritual, or do you just trust the diffs and hope the shape holds?

Hey!

I want to dive into practical applications of generative AI and have set myself a challenge to develop a useful product in 30 hours of focused work. My goal is not just an experiment but creating something with genuine practical value.

I have basic programming skills and can use any available APIs and tools (GPT-4, Claude, Stable Diffusion, etc.). The ideal project should:

- Solve a real problem

AI notetakers are dumb... like, they just transcribe and summarize...

I'm trying to build something that's actually an online assistant that, being wired into your calendar, emails, and knowledge base, and with that it can actually support you during meetings with things like:
- live capture tasks

- find available times for the next meeting
- live capture tasks (and even prepare prompts before and hand off prompts to Claude before you hang up

Hey Product Hunters!

When my wife Noa and I heard that MTV was officially shutting down, it felt like the end of an era. As 90s kids, we missed that specific "linear" experience the joy of just turning on the TV and being surprised by a music video without an algorithm getting in the way.

I don't mean the ones you tried for a weekend. I mean the one that stuck.

Mine is omp (oh-my-pi), an open source coding agent that runs in the terminal. I use it for most of

my coding now. I still decide what gets built, but I barely write glue code or config by hand

Something I've been thinking about recently:

AI coding tools have dramatically lowered the barrier to building software. A person who couldn't code a year ago can now create a working MVP in a weekend.

But I wonder if we are entering a new bottleneck.

Building the first version is becoming easier, but: