I m curious what you all devs and founders are relying on day-to-day in 2025. With the flood of new ai tools, it feels like every tool looks different depending on industry and workflow.
What s ai tool working well for you right now?
Which AI tools actually save you time?
Which ones did you try but drop?
Would love to see how other folks are stacking their tools this year.
I ve been building a product that involves a mix of AI-driven matching + dynamic user experiences (can t share exact details yet). The idea is to create something that feels alive and adapts to each user s vibe.
But here s my dilemma I m torn between focusing first on core UX feel (smooth, immersive flow) or AI logic depth (smarter matching + personalization).
For those who ve shipped vibe-heavy or AI-integrated products what worked better for you early on?
Over the last year, I ve been experimenting more with local-first patterns , apps that prioritize offline functionality and sync later instead of depending on constant server calls.
What used to feel experimental now feels surprisingly stable. Faster UI, fewer loading states, and a smoother user experience overall.
I rebuilt a small side project recently with a local-first approach, and the difference in responsiveness was noticeable. But it also introduced new challenges around conflict resolution and state consistency.
The shift toward "Vibe Coding" feels like we ve finally moved from being construction workers to being conductors. We are spending less time fighting syntax and more time sculpting the "intent" of our software.
However, as I ve been leaning into this AI-native workflow, I ve noticed a recurring tension that I d love to get the community s take on:
1. The "Black Box" Debt: When we "vibe" our way through a feature in 20 minutes that used to take 4 hours, are we unknowingly inheriting technical debt that will haunt us when the "vibe" inevitably breaks?
With new tools coming almost every month and old tools becoming better. What is your vibe coding or AI setup that you use in your day to day life.
What IDE, what model for what task and other details of your flow. I use
- Gemini CLI
- VS Code with openai models in chat
- Claude for making specs
I have been cranking out apps for the past few years and loving it. Then one morning a week or 2 ago I got a little ambitious and decided to build a desktop email client because outlook was so-so and superhuman was ridiculously expensive.
Our team pushes code constantly - multiple deploys per hour some days. The problem? Nobody can keep up with what's changing. You check the repo in the morning, grab coffee, come back and suddenly there are 47 new commits.
Good luck understanding what actually matters or how it affects your work. We built Doculearn to solve this with automated flashcards. Here's how it works:
I'm launching IdeaJarvis on Product Hunt tomorrow a workspace that runs the full 0 1 loop for startup ideas (discover research define deploy validate automate) using your own ChatGPT, Claude, or Cursor.I want to put my money where my mouth is. Drop your startup link below and I'll personally run it through IdeaJarvis. You'll get back: A full pitch positioning, problem, solution, target user Detailed market research competitors, TAM/SAM/SOM, market gaps Honest feedback what's working, what to fix firstNo catch, no upsell. I built IdeaJarvis because I had every AI tool open ChatGPT, Claude, Cursor and still couldn't turn all that intelligence into ideas worth scratching. The best way to prove it works is to do it for you.our