Level up from developer to JavaScript architect for the AI era.

Production-grade architecture for full-stack JavaScript and the AI systems you're now shipping. React, Node, and LLM-powered apps that survive growth, scale, and change.

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4.9/5 from readers of The Conscious React & Node

  • Production-grade React & Node architecture, weekly
  • Patterns for real AI features — RAG, agents, evals
  • Senior+ system design you can ship Monday

Free PDFs: the React + Node.js Architecture Playbooks — free, on signup.

The Conscious React book cover

The Conscious React

A comprehensive guide on React architecture, design, and clean code. Timeless principles, guidelines, and best practices for building scalable and robust React applications.

100+ Production Tips

Updated for React 19, Server Components and the Compiler. Each tip with context, Avoid and Prefer.

4 Companion Repos

Runnable examples, deep-dive case studies, and production-ready Vite & Next.js starters.

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The Conscious Node book cover
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The Conscious Node

A practical guide on Node.js architecture, design, and clean code. The gap between a Node developer and a Node architect — production patterns drawn from years of Fortune 500 cloud, finance, and travel systems.

157 Production Tips

Across 10 chapters — architecture, APIs, data, errors, security, testing, performance, and tooling. Each tip with context, Avoid and Prefer.

The 10 Rules of Senior Node

Heuristics that survive any framework cycle — module boundaries, repositories, the transactional outbox, structured logs, OpenTelemetry.

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The JavaScript Architect Bundle pairs The Conscious React & Node with the companion repos and both Architecture Playbooks — one package, one price.

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Petar Ivanov

Petar Ivanov

Software engineer, author, and speaker. 8+ years building production systems at Fortune 500s in cloud, finance, and travel. Ex-CEO/CTO of startups. I help JavaScript developers grow from Mid → Senior → Architect.

That now includes the field's hardest new question: how do you architect software around LLMs — RAG, agents, evals, cost, latency — so AI features survive real users? I build these systems in Python and JavaScript and teach the judgment behind them.

In the AI era, the question isn't whether you can code. It's whether you can think like an architect — and that's the gap I help you close.