development & AI · tbilisi · since 2024

Development & AI.

Who builds it, what's already in production, how AI actually works in these projects, what I check by hand, and where real engineering doesn't reduce to prompts.

Used to run a 40-person IT company: credit-card processing, a search engine, online games, startups. Now I'm one, in Tbilisi. All 40 people became dead weight — meetings, arguments, weekends gone, constant approval of trivial decisions.

Since 2024 — solo. Claude Code and four AI agents replace the whole mid-tier team — juniors, mids, PMs, sometimes seniors on isolated tasks. I stayed as architect and tech lead: ask questions, verify results, make decisions, debug production incidents. The machine writes the code.

Not theory, not marketing. Ten production projects confirm it. Atlas in Miami serves real customers 24/7. Jusmila in Lithuania ships motorcycle parts daily. GoraGen generates AI video at goragen.com right now. BRUNO Tbilisi and WedInGeorgia run for the Georgian market without downtime.

name: Gora (George)
role: Web developer, architect, tech lead
base: Tbilisi, Georgia (since 2024)
experience: 12+ years · from junior to running a 40-person IT company · now solo
production projects: Ten: Atlas (Miami), Jusmila (Lithuania), GoraGen (SaaS), BRUNO Tbilisi, WedInGeorgia, GoraBot, VPN, Auto-reply, SEO
telegram messages: 31 000+ in Telegram-based projects
regions: Georgia · USA (Miami) · Lithuania · CIS and EU
languages: Russian (native), English, Georgian (basic)
rate: from $300 (landing) → platform from $5 000

A concrete list. Not «we use AI» — this is what's actually delegated to Claude Code and AI agents without my manual touch on each iteration.

Next.js / NestJS boilerplate — scaffolding, layouts, routes
Unit tests against existing code — Claude Code writes, I review
Translating essays into EN / KA / LT — Sonnet 4.6, native review pending
Image alt-text, OG and Twitter meta strings
Generic components per design system (TOC-row, kickers, section frames)
Documentation drafts, READMEs, commit messages
MDX frontmatter, JSON-LD from existing data

The machine doesn't touch the following without an explicit instruction — or doesn't touch them at all. These are trust boundaries where automation costs more than control.

Architecture decisions: schema, multi-tenancy, module boundaries
Production deploys: systemctl, nginx reload, certbot
Incidents in production, root-cause analysis, hotfix pipelines
Secrets: .env files, API keys, OAuth, JWT secrets — never enter the LLM context
Client communication, timeline estimates, pricing negotiations
Every git push to production branches and force-push
Design decisions: component IA, brand DNA, typography
Security: rate limits, auth boundaries, NDA scope

Tasks where the LLM agent is a junior with twelve years of doc scraping — and no production intuition. Here I think and decide, AI assists.

Multi-tenant isolation: row-level security, tenant-aware queries, audit trails
Real-time scaling: Socket.IO + Redis adapter, sticky sessions, presence tracking
GPU orchestration on Vast.ai (Plan-100 control plane) — worker start/stop tied to queue depth
DPI-evasion VPN: WireGuard + Hysteria2 + sing-box, fake-CDN masquerade
Telegram WebApp HMAC validation (mini-apps), session coherence
RAG pipeline: chunking strategy, embedding model choice, reranking, tuning distance < 0.4
Core Web Vitals: real TBT/LCP/CLS optimization, font preload, route-level cache
pgvector + HNSW: index tuning, ef_search, recall-vs-latency trade-offs

web: Next.js 15 · React 19 · Vite · Astro · Remix · Tailwind v4 · TypeScript
backend: NestJS · TypeORM · FastAPI · psycopg v3 · Socket.IO + Redis adapter · Caddy · nginx
data: PostgreSQL 16 · Redis · ChromaDB (vectors) · pgvector · Cloudflare R2 / S3
AI / LLM: Claude API + prompt-caching · Gemini · Anthropic Claude Code · RAG · voyage-3 embeddings · MCP
bots: Python aiogram 3 · TypeScript telegraf · Telegram WebApp HMAC · Twilio A2P · WhatsApp Business API
infra: Docker compose · GitHub Actions → GHCR · Let's Encrypt · Cloudflare · Vast.ai (GPU) · Sentry
SEO: 20 SEO skills via Claude · Core Web Vitals · schema.org / JSON-LD · llms.txt · AI Overviews · FAQPage rich snippets

01 first message
Telegram, in your own words. I don't need a brief or technical terms — I care more about understanding the task than its formal label.
02 reading between the lines
Within 1–2 days I send a timeline-and-budget estimate. If it's not my case — I say so in the first reply, no runaround.
03 lock-in
Price and timeline in writing. 50% upfront. After that things change only by mutual agreement, and rarely.
04 work
Interim results at my own pace. AI agents write code, I hold the architecture and verify production-critical paths. At delivery — handover with documentation and access. First month of support included.

Projects aimed at minors — no exceptions.
Financial schemes against retail individuals.
Anything built to harm identifiable people.
Clients who want me to explain what's legal in their jurisdiction.
Anyone unwilling to sign an NDA.

Everything else — let's talk.

Not an agency. Solo developer with local plug-ins for projects that need Georgian context: photographer, legal/real-estate, native speaker support, PM.

Web developmentcore
Gora + 4 AI agents
Core. Claude Code writes code, I drive architecture, review, prod deploys.
Photographerlocal
On-the-ground in Tbilisi
Interior, product, team portraits. Booked per project.
Real estate / legallocal
Tbilisi-based expert
Land, lease contracts, sole proprietorship setup, bank accounts for businesses entering Georgia.
Georgian-language supportlocal
Native speaker
Client / supplier / GBP / Maps / Yandex communication in Georgian, document translation, content localization.
Project managementlocal
PM
Plugged in when a project needs coordination across client, designer, photographer, content producer.

Main channel — @brd1888 on Telegram. Business days within an hour or two, weekends within 24h.

Email — hi@hiregora.com. Channel — @izgoykod — notes on dev with AI agents. Instagram — @2fiddler.

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