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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!

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?