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AI tools have changed software development.
Today, developers can build applications faster than ever. Complex features that once took hours can now be generated in minutes.
But an important question remains:
Are developers still building strong problem-solving and logical thinking skills, or are they becoming too dependent on AI?
AI can generate code quickly, but is the generated code always the best solution? Does it follow the right architecture and design patterns, or does it sometimes introduce hidden bugs, performance issues, and technical debt that developers don't immediately notice?
Many experienced developers learned by reading documentation, debugging errors for hours, exploring Stack Overflow, and understanding why a solution works instead of simply applying it.
AI is an incredible tool, but great developers are built through understanding, reasoning, and problem-solving.
What do you think?
Is AI making developers better and more productive, or is it reducing the opportunities to develop the deep technical and logical thinking skills that great engineers rely on?
#SoftwareDevelopment #Programming #ArtificialIntelligence #WebDevelopment #TechCareer #LearningToCode
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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Fr this challenge, I used Stitch to turn a simple idea into a working prototype in just a few minutes. I started with a prompt describing an AI companion for elderly users, and Stitch helped generate the initial screens and user flow, which I then refined and connected into a prototype.
I've actually used Stitch before on a few projects last year, so it was interesting coming back to it. One thing I noticed immediately was how much more capable it feels now. The experience is smoother, the outputs are more thoughtful, and it feels easier to move from an idea to something tangible.
My favorite part is how quickly it helps explore concepts without getting stuck on a blank canvas. It's not a replacement for design thinking, but it's a great tool for getting ideas out of your head and into a format you can test and improve.
Overall, I enjoyed using it, and it's definitely a tool I will be running back to.
Project Link:
Built a complete multi-page digital experience using Google Stitch.
For this project, I designed and prototyped Eternal Maven, a modern AI and technology agency website focused on communicating technical expertise, credibility, and premium brand positioning.
What I created:
• Homepage with a bold, future-focused visual identity
• AI Development, Web Development, and Solutions pages
• Case Study section featuring project outcomes and impact metrics
• Industry-specific expertise showcase
• Technology Stack page highlighting modern tools and platforms
• Portfolio gallery for featured work
• Blog & Insights hub for thought leadership content
• Contact and conversion-focused lead generation experience
How I used Google Stitch:
I leveraged Stitch to rapidly generate, refine, and prototype high-fidelity screens while maintaining a consistent design system across the entire experience. The platform made it easy to explore ideas, iterate quickly, and build a cohesive multi-page user journey.
Design Direction:
Dark immersive UI, electric blue accents, glassmorphic elements, modern typography, and premium visual storytelling designed for a 2026-ready digital presence.
#GoogleStitch #WebDesign #UIDesign #UXDesign #AI #ProductDesign #Prototype #DigitalExperience #Contra
People keep comparing AI tools like they’re all built for the same thing.
They’re not.
The creatives who figure that out early are going to have a massive advantage.
The conversation around AI is still so focused on aesthetics that people ignore the operational side of creativity.
We need to stop talking only about which tool makes the prettiest image, and start talking more about workflow, scalability, and execution.
I don’t think the advantage will come from using one AI tool for everything.
It’ll come from understanding which tools belong in which part of the process.
And honestly, that shift is waaaay more interesting than the usual “this one is better” debate.
I’m curious: what part of your creative process are you actually trying to improve, and what tools are you using for it?
I'm trying to improve on my ui/ux design and i guess claude can also help better on that.
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