ai23. 3. 2026Building AI Agents That Actually Work: Architecture, Patterns, and Hard Lessons from ProductionThe engineering reality behind AI agents in 2026. Tool orchestration, memory systems, planning loops, guardrails, cost control, and the architecture patterns that separate demo agents from production agents.llmarchitecturetypescriptbackendblog.readMore Building AI Agents That Actually Work: Architecture, Patterns, and Hard Lessons from Production
seo23. 3. 2026SEO Is Not Enough Anymore: A Developer's Guide to Generative Engine OptimizationTraditional SEO gets you ranked. GEO gets you cited by AI. Here's how to optimize your site for both Google and AI-powered search engines like ChatGPT, Perplexity, and Google AI Overviews — with code examples.aiweb-developmentnext.jsarchitectureblog.readMore SEO Is Not Enough Anymore: A Developer's Guide to Generative Engine Optimization
api22. 3. 2026API Versioning Strategies: The Hard Lessons from Running APIs in Production for 8 YearsURL versioning, header versioning, date-based versioning, deprecation policies, schema evolution, and the migration playbook. What actually works when you have real consumers depending on your API.restversioningbackendarchitectureblog.readMore API Versioning Strategies: The Hard Lessons from Running APIs in Production for 8 Years
system-design22. 3. 2026System Design Interview: The Patterns Nobody Teaches YouThe thinking frameworks, back-of-the-envelope math, and architecture patterns that actually matter in system design interviews — from someone who has been on both sides of the table.architecturedistributed-systemsinterviewsbackendblog.readMore System Design Interview: The Patterns Nobody Teaches You
websocket18. 3. 2026WebSockets at Scale: Architecture, Reconnection, and the Mistakes I Keep SeeingEverything I learned building real-time features with WebSockets. Connection management, scaling beyond one server, heartbeats, reconnection strategies, and why most tutorials skip the hard parts.real-timenode.jsarchitecturescalingblog.readMore WebSockets at Scale: Architecture, Reconnection, and the Mistakes I Keep Seeing
ai15. 3. 2026LLMs in Production Web Apps: Streaming, Caching, Cost Control, and What the Tutorials SkipThe real engineering behind integrating large language models into web applications. Streaming responses, managing costs, handling failures, prompt management, caching strategies, and building AI features users actually want.llmweb-developmentstreamingarchitectureblog.readMore LLMs in Production Web Apps: Streaming, Caching, Cost Control, and What the Tutorials Skip
edge17. 2. 2026Edge Functions: Co to je, kdy je použít a kdy neEdge runtime, V8 isoláty, mýtus o cold startu, geo-routing, A/B testování, autentizace na edge a proč jsem některé věci přesunul zpět na Node.js. Vyvážený pohled na edge computing.next.jsperformancearchitectureweb-developmentblog.readMore Edge Functions: Co to je, kdy je použít a kdy ne
turborepo3. 2. 2026Turborepo monorepa: Setup, který skutečně škálujeJak strukturuji Turborepo monorepa pro více aplikací sdílejících balíčky. Konfigurace workspace, pipeline caching, sdílené TypeScript configy a chyby, které jsem udělal v prvním měsíci.monorepotypescriptarchitecturedeveloper-toolsblog.readMore Turborepo monorepa: Setup, který skutečně škáluje
serverless28. 1. 2026Serverless Beyond the Hype: Patterns, Anti-Patterns, and the $20K Monthly BillServerless isn't just Lambda functions. Event-driven architectures, fan-out patterns, saga orchestration, cold starts, vendor lock-in, and the cost surprises that hit when your traffic actually grows.awsarchitecturecloudlambdablog.readMore Serverless Beyond the Hype: Patterns, Anti-Patterns, and the $20K Monthly Bill
graphql15. 1. 2026GraphQL vs REST: After Using Both in Production, Here's What I Actually ThinkNot another 'GraphQL is better' or 'REST is simpler' post. Real production experience with both, including the parts that GraphQL evangelists won't tell you and the REST limitations that actually matter.restapi-designarchitecturebackendblog.readMore GraphQL vs REST: After Using Both in Production, Here's What I Actually Think
micro-frontends20. 12. 2025Micro-Frontends: I Tried It, Here's the Honest RealityAfter implementing micro-frontends at two companies, here's what actually happened. Module federation, shared dependencies, routing, styling conflicts, and why the org chart matters more than the architecture.architecturereactmodule-federationfrontendblog.readMore Micro-Frontends: I Tried It, Here's the Honest Reality
database16. 9. 2025Návrh databázového schématu: Vzory, které stárnou dobřePravidla normalizace, konvence pojmenování, soft delete, audit trail, vzory multi-tenancy, strategie verzování a rozhodnutí o schématu, kterých jsem litoval. Zaměřeno na PostgreSQL.postgresqlarchitecturebackendsqlblog.readMore Návrh databázového schématu: Vzory, které stárnou dobře
react5. 8. 2025React Server Components: Mentální modely, patterny a nástrahyPraktický průvodce React Server Components, který jsem si přál mít, když jsem s nimi začínal. Mentální modely, reálné patterny, problém hranice a chyby, které jsem udělal, abys je nemusel opakovat.next.jsweb-developmentarchitectureblog.readMore React Server Components: Mentální modely, patterny a nástrahy
next.js23. 7. 2025Strukturovani Next.js projektu ve velkem měřítku: Co jsem se naučil na vlastni kuziTěžce získané lekce o organizaci Next.js codebasu, které se nezhroutia pod vlastni vahou. Architektura založena na features, route groups, hranice server/client, pasti barrel souborů a reálná struktura složek.typescriptarchitectureweb-developmentblog.readMore Strukturovani Next.js projektu ve velkem měřítku: Co jsem se naučil na vlastni kuzi
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