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Ankur Tyagi

Whats your vibe coding AI stack in 2025?

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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.

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Sanskar Yadav

Although I switch between tools and walkarounds a lot but here is my current stack:

  • Python (for quick prototyping)

  • FastAPI

  • Node (for integrations and automations)

  • Vector DBs like Pinecone or Postgres+pgvector

  • Notion for docs and content workflows

  • Sometimes Rust for speed - critical stuff

I stopped using a bunch of all-in-one platforms - too heavy and not flexible enough.
Sticking to modular tools that do one thing well and are easy to swap out!

Abdul Rehman

Great question! For me, Notion AI has become the daily go-to, mostly for summarizing and structuring docs.

Jason Gelsomino

I was also using all-in-one platforms to start then realized there are better tools for certain tasks:

  • Supabase - auth and database

  • Vercel - deployments and dev ops

  • Stripe - payments and subscriptions

  • Canva - design

  • Evernote - for documentation

  • Models - GPT-4o, Gemini-2.5-pro, Sonnet 4.5, Perplexity Sonar-Large

Vercel has saved me a ton of time. I previously used Firebase, but I found its deployment and hosting cumbersome and not very user-friendly. Some Firebase tools, like authentication, were particularly tricky to implement, so I switched to Supabase for edge functions and other features.

Anything I'm missing or you all things I should consider?