
Helping our future overlords walk since 2020
A lot of teams now have agents writing their code, and nobody whose job it is to keep what comes out shippable. That’s the job I do: I draw the architecture, set up the pipeline the agents ship through on your codebase, and sit in the pull requests rather than in the org chart. Last time round that took a live product from a no-code builder to 250,000 lines of production TypeScript in 158 days — and the engineers who took it over run it today.
A live, feature-rich AI chat product lifted off a no-code builder into a production Next.js codebase in 158 days, and in production for its users the whole way through.
Next.js 16, Railway + Supabase, feature-sliced design
The engineering platform that rebuild ran on, extracted so it travels: the architecture, the staged pipeline and the pre-push gate, ready to carry onto my — or anyone’s — next project.
agentic development, project templating, open source
Same pattern, earlier: write (a BYOK AI-first text processor), mindy (ChatGPT before ChatGPT), ideality-nuxt (no-code AI widgets).
Rebuilt a live AI chat product from Bubble into production Next.js 16 in 158 days: 250,000 lines of TypeScript, none of it hand-written, up to 20 agents working at once, a deploy every 2.4 days. Reviewed and mentored three engineers on the platform, which they run today without me.
Next.js 16, Railway + Supabase, feature-sliced design
Experimental AI platform at one of the world’s largest ad firms. Built enterprise-scale suite:
Django + PostgreSQL, Vue + TypeScript
AI-agent-based review intelligence tool for brand marketing. Built end-to-end: automated review collection → AI summarization (SWOT, competitive positioning) → SaaS platform.
Next.js/NestJS, Cloudflare Workers, Firebase, custom LLM orchestration framework
Email: vzakharov@gmail.com
GitHub: github.com/vzakharov
LinkedIn: linkedin.com/in/vovahimself
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Substack: substack.com/@vovahimself