u/Notalabel_4566
Creating a iOS App using WindSurf. Can you help?
Hey everyone,
I recently built a small web app with Windsurf (mainly as a quick experiment in the consumer space) and was surprised how fast I could get something up and running. Now I realize the use case would probably work much better as a native iOS app.
I’m wondering about the best way forward and would love your input:
- Has anyone here developed iOS app in Windsurf?
- Is it smarter to reuse the existing codebase, or do you recommend starting from scratch?
- How much of the process can actually be done within Windsurf, and where does Xcode (or other tools) become unavoidable?
- Are there common pitfalls or routines/checklists you’d recommend for this type of migration?
- If you have developed any app, what tools/extenstions have you used?
I’d really appreciate hearing from people who’ve been through this transition - even partial experiences (what worked, what didn’t) would be super helpful.
Thanks in advance!
Got given a full stack/ML/NLP assignment for a product/strategy role. 24 hour deadline. Couldn't complete it even using vibecoding.
Assignment details:
what to build , how the analytics should work, how the tagging should work, the bigger picture of what the product is about
So I applied for a product/strategy role at an AI startup, passed the first round, and then they hit me with a full stack engineering assignment. Django, React, Docker, live deployment, sentiment analysis, the whole thing. For a non-technical role. With a 24 hour deadline.
I raised it. They didn't care. I tried anyway. Didn't get it done.
Here's what they wanted built — an LLM response analyzer for brand reputation monitoring (think: tracking what GPT/Claude/Gemini say about your brand, scoring sentiment, identifying reputation drivers):
Backend (Django + DRF):
- Prompt model storing the query, LLM source (GPT/Claude/Gemini), answer and timestamp
- TaggingMeta model storing sentiment score (-1.0 to +1.0), sentiment label, topic tags and customer journey stage (Awareness → Consideration → Conversion → Loyalty)
- API endpoints for submitting prompts, listing them, sentiment summary, topic frequency, stage distribution and key insight drivers
All of this. In 24 hours. For a strategy role.
If anyone wants to build this as a portfolio project or is open to getting compensated for it, drop a comment or DM me. Happy to share the full spec.
And if you've been hit with a completely mismatched take-home test, you're not alone.
I built an engine that auto-visualizes Java algorithms as they run
What changes would you make to pitt to make the show more interesting?
More of Dr A.I, Santos and landgon coming in terms ( if possible ) , somebody calling out santoa for actual bullying etc
If possible: season 3 = season 1 + real issues like ICE,Medicade etc