The React and Node.js architecture playbooks, free by email. Then new deep dives as I publish them.
Production-Grade React Architecture Playbook (6 pages). Where state lives, how to test it, when to memoize.
Production-Grade Node.js Architecture Playbook (7 pages). Where data lives, query builder or ORM, what never to log.
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30K+ engineers read The T-Shaped Dev
4.9/5 from readers of The Conscious React
The React architecture book for the AI era — timeless principles for scalable, testable React, rebuilt for React 19, Server Components, and the Compiler.
Updated for React 19, Server Components and the Compiler. Each tip with context, Avoid and Prefer.
Runnable examples, deep-dive case studies, and production-ready Vite & Next.js starters.
A practical guide to 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.
Across 10 chapters — architecture, APIs, data, errors, security, testing, performance, and tooling. Each tip with context, Avoid and Prefer.
Heuristics that survive any framework cycle — module boundaries, repositories, the transactional outbox, structured logs, OpenTelemetry.
The JavaScript Architect Bundle is both Complete Packages: The Conscious React and The Conscious Node, all 7 companion repos and the AI rules files, in one purchase.
Get the Architect BundleDeep dives into the craft of engineering.
The 4 observability decisions to make before launch: trace every step, one ID end to end, five numbers on a dashboard, and logs that link to the trace.
Read ArticleSave-then-publish drops messages without a single error in your logs. Here's the outbox + inbox pair that stops it, in plain Postgres and Node.js.
Read ArticleThe MCP servers I actually reach for when building features and shipping production apps.
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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.