A digital laboratory where you learn by doing. We share knowledge in IT and AI, exploring new frontiers together.
My personal experience learning Java. A breakdown of JVM, virtual threads, Spring, garbage collection, performance, ecosystem, and Java's place in the world of AI and enterprise.
My personal experience learning Go. A breakdown of goroutines, channels, garbage collection, performance, ecosystem, and Go's place in the world of AI and microservices.
My personal experience learning HTML and CSS. A breakdown of semantic markup, Flexbox, Grid, responsiveness, animations, accessibility, and the role of front-end in the AI era.
My personal experience learning SQL. A breakdown of SELECT, JOIN, indexes, transactions, NoSQL, and its role in the world of data and AI.
My personal experience learning JavaScript as my third language. Async programming, the Event Loop, the npm ecosystem, TypeScript, and its role in the AI era.
My personal experience learning Python as my second language. Dynamic typing, ecosystem, its impact on my thinking, and its role in the AI era.
My personal experience learning C# as my first language. Strengths, weaknesses, and how it shaped my engineering mindset in the AI era.
Comprehensive ranking of AI models for coding in 2026: Claude, GPT, Grok, Kimi, GLM. Compare intelligence, price, speed, latency, and context window.
Should you learn programming languages in 2026 when AI writes code? Pros, cons, and career impact.
Three.js, WebGL, WebGPU and more.
Experiment with models in an isolated environment.
CI/CD, containers, and orchestration in practice.
Analyze data, build dashboards and pipelines.
Hands-on cybersecurity and pentesting.
DevITPro Lab is a community of engineers and researchers. We create content that bridges theory and real-world projects. All labs are online, and articles are written in plain language.