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An AI Developer in 2026 isn’t just writing prompts.
They’re designing systems that think inside constraints.
When I architect AI builds, I focus on:
• Guardrails
• Structured outputs
• Validation layers
• Logging
• Feedback loops
Because AI without control creates risk.
And AI without measurement creates noise.
Engineering AI applications today means treating them like real software systems — not experiments.
That’s the difference between shipping something impressive and shipping something usable.
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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Hot take after talking with @Alli Minetti Labs from Contra Labs:
The future isn’t “AI designers.”
It’s designers with AI‑powered workflows that:
- Speed up the tedious 10px moves
- Keep humans in the driver’s seat
- Turn ideation into a superpower across web, brand, and video
New UnContrad episode with Alli is is now live.
watch here
Incredible!
Everyone can spot the AI image with three arms. Almost nobody agrees on what makes an AI output actually good.
That's the finding from Contra Labs' Human Creativity Benchmark, and we dug into it on this week's UnContrad with Alli from the Contra team.
Past "obviously broken," the professional graders split. Some killed outputs over the typography. Others forgave the type because the composition was worth keeping. Same image, different verdicts, both senior.
The tools flipped depending on the phase too. Strong at ideation, useless at refinement. Ask for one explicit change and three other things move.
My take from the episode: working with AI is design negotiating. You won't one-shot it. Some days I can't ten-shot it. It nails the majority, you decide what you can live with, and the real skill is knowing when to stop.
The pattern held across video, brand, ad, product, and web designers. Nothing one-shots yet. Which is exactly why the designer in the driver's seat still decides what ships.
Full conversation with Alli: what Contra Labs is, the benchmark findings, and where AI actually fits a professional workflow.
This really makes sense
"VetCheck is an intuitive field application designed to streamline livestock health data collection, specifically tailored for veterinary professionals.
Key Technical Features:
Rapid UI Development: Built using Figma AI Agent for an optimized user experience.
Backend Integration: Seamlessly synced with Supabase for cloud-based data management and real-time accessibility.
QA & Reliability: I implemented a robust offline-first architecture, ensuring that data integrity is maintained even in remote areas with unstable connectivity. The application uses automated data validation to minimize user input errors.
Problem-Solving: During the build process, I successfully debugged edge function deployment issues, ensuring a smooth synchronization flow between the interface and the database.
Purpose: This project bridges the gap between field veterinary diagnostics and digital record-keeping, ensuring that accurate data is always available for clinical decision-making.":
#ConfigMakeathon #Figma #MakeWithFigma #Supabase
Hi there! Don't forget to include the link(s) to your project itself (live project link and community or working project file link). You can review the submission guidelines here. Best of luck!
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