Ai code architecture
AI-generated codebases frequently suffer from hallucinated security policies, missing database indexes, unhandled edge cases, and circular state dependencies. A senior engineer can harden the architecture without throwing away your UI.
Audit Supabase Row Level Security (RLS), exposed API keys, and insecure client-side logic.
Clean up spaghetti state management and circular component trees generated by AI prompts.
Implement real payment webhooks, database constraints, automated testing, and CI/CD deployment.
It is worth being precise about this, because the useful conclusion is not that the tools are bad. They compress the slowest part of early product work — turning a vague idea into something a person can click — from weeks into a day.
The interface they produce is usually genuinely good, and the fact that it exists at all means you have already learned things about your product that a specification would never have told you. None of that has to be thrown away.
The gaps are systematic rather than random, because they are all in the parts that have no visible output.
Of everything on that list, access rules deserve immediate attention, because the failure mode is not an outage — it is customers reading each other's data without anyone noticing.
If your prototype has real users and real records, an access-rule audit is worth doing this week, ahead of any feature work. It is typically a day or two of somebody's time.
These tools emit ordinary code in ordinary frameworks — React, Next.js, Tailwind, and a standard database behind them. An experienced engineer can export the repository, work in it normally, and harden it piece by piece.
The sensible order is: secure the access rules, make payments reliable, fix the data structure, add monitoring, then resume building features. Each step is independently valuable, so the work can stop and restart around your budget.
Yes. Code exported from modern AI builders uses standard React, Vite, Next.js, and Tailwind CSS. Senior developers can export the repository to GitHub and continue engineering.
AI tools excel at visual components but often miss backend transactional safety, concurrency locking, webhook idempotency, and database performance tuning.
Khmelnytskyi, Ukraine
Full-Stack Developer — Websites, Apps, Servers, Databases, AI, SEO & QA
Full-stack developer working across the entire stack — websites, apps, servers, databases, AI integrations, SEO, and QA. Languages & Core: writes code in JavaScript, TypeScript, Python, PHP, Go, and Rust. Architects scalable systems for large-scale projects. Frontend & Interfaces: builds websites and web applications with React and Next.js. Crafts responsive interfaces with Tailwind CSS, Radix UI and Shadcn, adds smooth animations with Framer Motion, and interactive charts with Recharts. SEO Audit & On-Page Optimization: semantic keyword research, resolving technical indexing issues, and optimizing page load speeds. Structures page architecture, meta tags, and multi-language support (i18n). Copywriting & Content Strategy: writes technical articles, drafts precise content briefs for writers, and develops content plans. QA & Testing: full-cycle testing for websites, web services, and Android apps — manual QA for UI/UX and business logic, plus automated testing with Jest, Vitest, Playwright and E2E. Backend, Cloud & Databases: complex API integrations of any scale. Builds servers with Node.js (Express, Fastify). Works with PostgreSQL, MySQL and MongoDB, ORMs (Prisma, Drizzle), and cloud infrastructure (Supabase, Firebase, Cloudflare). Browser Extensions & Automation: develops Manifest V3 browser extensions for Chrome, Edge, Firefox and other browsers. Builds web scrapers for complex data extraction using Puppeteer and Playwright. AI & Intelligent Agents: builds custom AI agents and integrates LLMs from OpenAI, Google Gemini, and Anthropic Claude via API, including Claude Code setups. Servers & DevOps: Linux (Ubuntu) and VPS administration — setup, updates, real-time monitoring, secure process isolation, Nginx, PM2, and CI/CD deployment via GitHub Actions. Telegram Bots: develops advanced Telegram bots (Telegraf, Grammy) integrated with AI, payment gateways, Google Sheets, and crypto exchanges. Desktop Applications: builds cross-platform software for Windows and macOS using Electron and Rust. Additional expertise: site development and customization with WordPress and Astro.
AI & Distributed Systems Architect | Enterprise AI, RAG, Cloud, Blockchain | Advisory & Fractional Leadership
AI and distributed systems architect providing advisory and fractional leadership on enterprise AI, RAG pipelines, cloud architecture and blockchain-backed data systems.