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How AI Fits Into Our Daily Work at Luvion.
AI coding tools have become part of our daily workflow at Luvion—but they do not replace engineering judgment.
We use Codex to work directly with repositories: investigating bugs, implementing scoped features, reviewing changes, running tests, and handling repetitive tasks.
Claude Code supports the broader reasoning process. It helps us explore requirements, understand larger contexts, evaluate architectural decisions, and organize documentation.
The value is not simply generating more code.
It is reducing the friction between understanding a problem, building the solution, and verifying that it works.
Tomorrow, we will break down the workflow we use to move from a business requirement to verified code.
How are AI coding tools changing your daily work?
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Hi everyone! 👋
I built BrandForge -> a tool for @Replit challenge that instantly generates a complete design system for any brand.
🔗 Try it here: https://brand-focus--priyaupadhyay2.replit.app/
What it does:
1. Pick a brand name, industry, one color, and a personality (minimal/bold, playful/serious)
2. Instantly get a full design system: color palette, fonts, spacing, and ready-to-use UI components (buttons, cards, forms, navbar)
3. Get an AI-generated tagline + tone-of-voice guide for your brand
4. Save multiple brand kits and revisit them anytime
5. Export everything as CSS, Tailwind config, or JSON - ready to drop into any project
Problem it solves:
1. 🎨 Founders & small teams often can't afford a designer just to set up a proper design system
2. ⏱️ Manually picking colors, fonts, and spacing that actually work together takes hours
3. 🧩 Most tools give you just a color palette - not real usable components
4. 📦 BrandForge gives you a full, production-ready design system in under 30 seconds - free, fast, and exportable
Built on Replit. Would love your feedback.
Really impressive work.
New work: I rebuilt my studio site as a real-time 3D experience, then I attacked it.
The visual layer is hand-written WebGL and GLSL. GPU particle cores that react to your cursor, morphing transitions between pages, adaptive performance that tunes itself to the device. All custom code, no template, no page builder.
But looking expensive is only half the job. I also build and secure the systems behind sites like this: multi-tenant SaaS, Stripe billing, PostgreSQL row-level security. So I wrote an automated red-team loop in Python and ran it against my own live site: attack, triage, patch, verify. It flagged a couple of hardening gaps, I fixed them, and re-ran until it came back clean.
If you want a site that looks like a high-budget trailer and holds up when someone probes it, that is what I build.
Live: xkaii.studio
The security work: xkaii.studio/security
The combination of high-end GLSL motion and row-level security backend is incredible. What vulnerabilities did your automated Python red-team loop flag during the initial test runs?
