DEV Community: VisionAPI

Designing for Developers: How I Bridge Code and Creativity

VisionAPI — Wed, 17 Jun 2026 09:02:27 +0000

Most developers treat design as an afterthought. Most designers treat code as someone else\'s problem. I have always found myself somewhere in the middle — equally fascinated by clean CSS and beautiful typography. Being both a developer and a designer has given me a perspective that neither group fully has on its own.

Why the Developer-Designer Split Hurts Products
When design and development are handled by completely separate teams, a subtle friction emerges. Designers create visuals without understanding technical constraints. Developers implement layouts without grasping the intent behind spacing, color, or hierarchy. The result is a product that technically works but never feels quite right.

I have seen beautiful Figma mockups fall apart in the browser because the designer did not account for responsive breakpoints. I have also seen developers sacrifice visual polish for implementation speed, stripping away the very details that made the design special. The gap between design and code is where product quality dies.

Design Systems Are Contracts
The most effective tool I have found for bridging this gap is a design system. Not just a component library — a shared language of colors, typography, spacing, and behavior that both designers and developers agree on.

When I build a design system, I think in tokens. Colors are not "blue" — they are "primary-500." Spacing is not "16 pixels" — it is "space-4." These tokens become the contract between design and code. A designer changes a token value in Figma, and the developer updates one variable in CSS. The entire product shifts consistently without manual hunting and replacing.

Designing With Constraints, Not Against Them
Knowing how to code makes me a better designer because I understand what is genuinely hard versus what just looks hard. Animations that seem complex might be a single CSS keyframe. Layouts that look impossible might just need the right flexbox strategy. Conversely, seemingly simple features like real-time collaborative editing are engineering nightmares.

This knowledge helps me design within constraints rather than pretending they do not exist. I can have productive conversations with engineers about trade-offs. I can suggest alternative approaches that preserve the user experience while respecting implementation complexity. Design and development become a collaboration, not a handoff.

Brand Identity Is Storytelling
Working as a graphic designer at Be Alyv and previously at Prakroot taught me that brand identity is not just logos and color palettes. It is storytelling. Every visual choice communicates something about who you are and what you value.

When I design brand identities, I start with words, not visuals. What is the personality? Bold or understated? Playful or serious? Tech-forward or timeless? These adjectives guide every decision — from typeface selection to photography style to tone of voice. The visual system is just the translation of that personality into pixels and paper.

The Portfolio as Proof
Your portfolio is not a gallery. It is evidence. Every project should tell a story about a problem, your process, and the result. I structure my portfolio pieces around three questions: What was the challenge? What did I do? What changed because of it?

This approach applies whether you are showing a SaaS dashboard redesign, a brand identity system, or an AI tool interface. Process matters. Context matters. The final screenshot is just the tip of the iceberg.

Design Is Never Done
The best products I have worked on treat design as a continuous practice, not a phase. User behavior reveals flaws that no amount of prototyping can predict. Analytics show where people get stuck. Support tickets surface confusion that seemed obvious to the team.

I design in iterations — launch, observe, refine, repeat. Perfection is the enemy of progress. A good design that ships today beats a perfect design that ships never. The goal is to keep improving, one small change at a time, guided by real user feedback.
Darjee Ronak

Graphic Designer at Be Alyv. Founder of HackersMeet & Renron Energies. Developer, designer, and product builder.

How I Built an AI Background Removal Tool That Actually Works

VisionAPI — Wed, 17 Jun 2026 06:14:11 +0000

Every designer, e-commerce seller, and marketer has faced the same frustrating problem — removing backgrounds from images. You either pay for expensive software, deal with clunky free tools that leave ugly edges, or spend hours manually cutting things out in Photoshop. I got tired of it. So I decided to build my own AI background removal tool.

The Problem That Hit Home

A few months ago, a friend running a small online clothing store asked me for help. She needed clean product photos with transparent backgrounds for her Amazon and Shopify listings. The existing tools either charged a subscription she couldn't afford or butchered the fine details of her product images — hair, fabric edges, and shadows were always a mess.

That is when it clicked. Background removal is not just a "nice-to-have" feature. It is a real business need. And the current solutions are either overpriced or underpowered. I thought — what if I could build something that is fast, accurate, and accessible?

Diving Into AI and Computer Vision

I have always been fascinated by the intersection of AI and design. Computer vision, in particular, feels like magic when it works. The idea that an algorithm can look at an image and understand what is foreground and what is background — that is powerful.

I started exploring how modern AI models handle image segmentation. The technology behind background removal is called semantic segmentation, where the model learns to classify every single pixel in an image. Pixels belonging to a person, product, or object get labeled as foreground. Everything else becomes background. Simple in theory, incredibly tricky in practice.

The real challenge is not just removing the background. It is preserving the details. Hair strands, transparent objects, fuzzy edges, motion blur — these are the things that separate a good background remover from a bad one. I wanted mine to handle the edge cases gracefully.

Building the Experience, Not Just the Tool

I have learned from building products like HackersMeet and Renron Energies that technology alone does not win. The experience matters. A background removal tool could have the best AI model in the world, but if it takes forever to load, has a confusing interface, or exports the wrong file format, users will leave.

So I focused obsessively on three things: speed, simplicity, and quality. Drag an image in. Wait a second. Download a crisp transparent PNG. No sign-up walls. No watermarks. No confusing settings. The AI should do the heavy lifting while the user does nothing except upload and download.

I tested it on everything I could find — portraits, product shots, group photos, pet images, car photos, even complex scenes with overlapping objects. Each failure taught me something. Each success pushed me to refine the model and the pipeline.

The "Aha" Moments

There were two moments that made all the late nights worth it.

The first was watching the tool cleanly separate a model's hair from a busy, multi-colored background. No jagged edges. No green fringe. Just a clean, natural cutout.

The second was when my friend used it on her entire product catalog — fifty images in under ten minutes. She told me it saved her a full day of work.

That feedback loop is what drives me. Building AI tools is not about showing off technology. It is about giving people back their time. It is about democratizing something that used to require expensive software or specialized skills.

Why AI Tools Need to Be Accessible

We are living in an era where AI can generate images, write code, and analyze data. But a lot of these tools are locked behind enterprise pricing, complex APIs, or require a PhD to understand. I believe the best AI products are the ones that hide the complexity and just deliver results.

Background removal is just one example. The same thinking applies to face verification systems, automation pipelines, and SaaS products. The goal is always the same — solve a real problem, make it effortless, and make it available to everyone who needs it.

What Is Next

This tool is just the beginning. I am expanding it into a full AI-powered image editing suite — batch processing for e-commerce teams, API access for developers, and integrations with design tools like Figma and Canva. The vision is to build a complete toolkit that handles the tedious parts of image editing so creators can focus on being creative.

If you are building something similar or need an AI tool, a web application, or a SaaS product built, I would love to hear about it. I am always open to interesting projects and collaborations.

Built by Darjee Ronak — Founder of HackersMeet & Renron Energies. AI tools developer, web developer, and graphic designer.

Portfolio: darjeeronak.dev
Email: ronak200528@gmail.com
Phone: 8000347626
Services: AI Background Removal, Face Verification, Web Development, SaaS, Automation, UI/UX Design