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Building your frontend before your API is like painting a house before pouring the foundation. 🏗️
Adopting an API-first design mentality completely changes how teams collaborate. When you establish the API contract before writing the UI, backend and frontend developers can work in parallel without blocking each other. It’s the ultimate hack for accelerating your product timeline.
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
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Finally published the full Sirnik Studio case study here on Contra ✦
This project took far longer than I expected, mostly because I kept rebuilding parts of it trying to get the overall feeling right. Not “better”. Not “more impressive”. Just more intentional.
A huge amount of time went into typography rhythm, spacing, interaction pacing, transitions, and reducing the interface down to only the elements that actually mattered.
I never wanted this to feel like another trendy agency portfolio overloaded with effects. The goal was to create something more restrained, more atmospheric, and more immersive while scrolling through it.
Everything was designed and developed by me in Webflow ⚡
Really grateful that the project later got featured on Awwwards and received Site of the Day on CSS Design Awards!
Would genuinely love to hear your thoughts on the final result ↓
This looks super professional!
Hello, Monday. Stuff to do this week:
- Continue with client design & webflow dev work
- Work on the upcoming template
- Sign up for the certification exam
- Experiment with some new design directions
- Sign up for an SEO masterclass
wbu?
working hard, week is fully overloaded:)
AI demos are easy.
Production AI is where engineering begins.
Anyone can connect an LLM API and make something that looks impressive in a demo.
But real businesses need systems that survive messy users, bad inputs, edge cases, and scale.
Production AI means:
✅ Grounded retrieval (RAG)
✅ Reliable tool/API execution
✅ Structured outputs
✅ Agent workflows with business logic
✅ Monitoring, evals, and feedback loops
✅ Infrastructure that scales in production
The difference between an AI demo and an AI product?
Architecture.
That’s where most “AI startups” break.
I build AI systems that go beyond prompt wrappers — production-ready LLM agents, RAG pipelines, and full-stack AI products.
If you're building something real, build it like software.
#AIEngineering #LLMAgents #RAG #GenerativeAI #LangChain #LangGraph #OpenAI #ClaudeAI #Python #FastAPI #AWS #VectorDatabase #AIProduct #SaaS #ArtificialIntelligence #Contra #FreelanceDeveloper #AIConsultant
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