461 məqalə — yol xəritələri, maaş bələdçiləri, sertifikatlar və iş bazarı təhlili.
A 12-month roadmap to backend engineering — Node.js vs Python vs Java vs Go, REST vs GraphQL, PostgreSQL, system design, and deployment.
React Server Components Explained: What Changed in 2026
Three years ago, my team spent six weeks setting up Istio. We read the docs, watched the conference talks, followed the tutorials. When we finally got it working, our cluster's resource usage had doubled, our deployment time had tripled, and nobody on the team could explain what the Envoy sidecar was actually doing. We ripped it out two months later.
Azərbaycanda Mühəndis Vakansiyaları: Sahələr, Maaşlar, Tələblər
In 2022, our team migrated a microservices system from REST to a hybrid gRPC + GraphQL architecture. The REST API had 147 endpoints across 12 services. Response times averaged 340ms for composite operations that required data from multiple services. After the migration: internal service-to-service calls dropped to 12ms average via gRPC, and client-facing queries via GraphQL reduced payload sizes by 62%. But the migration took eight months, introduced new categories of bugs we'd never seen, and required retraining the entire frontend team. Was it worth it? Absolutely — but only because we chose the right protocol for each use case.
Last year, I rewrote a PDF parsing function from a Node.js worker to a Rust-compiled WebAssembly module. The function extracted job descriptions from uploaded PDFs — a common feature on BirJob. The Node.js version processed a typical PDF in 340ms. The Wasm version did it in 45ms. Same input, same output, 7.5x faster. No infrastructure change, no new deployment pipeline, just a faster binary running in the same JavaScript runtime.
Junior $73K, Mid $104K, Senior $116K — but the real difference isn't years of experience. It's scope, autonomy, and the ability to handle ambiguity. What actually changes at each level.
Rust: $145-185K salary, 8K+ monthly postings, 35% growth. Go: $135-175K, 25K+ postings, 12% growth. Stack Overflow's most loved vs the pragmatic choice. Where each wins — with data.
Three years ago, I implemented authentication for BirJob from scratch. I chose "just use JWTs" because that is what every tutorial recommended. Within a month, I had built a system where tokens never expired, there was no way to revoke them, and refresh tokens were stored in localStorage. I had built a textbook example of how not to do authentication.
AI Engineer is the #1 fastest-growing job in 2026. ML Engineer salaries are higher. One builds products on top of models, the other builds the models themselves. Here's the real difference — with data, not hype.
A 12-month roadmap to frontend development — HTML/CSS/JS foundations, TypeScript, React/Next.js, Tailwind CSS, testing, and accessibility.
A 12-month roadmap to ML engineering — PyTorch, MLOps, LLMs, RAG, model deployment, and the engineering skills data scientists miss.