A Pragmatic Guide to AI in Professional Work
A pragmatic guide to using AI professionally. No more FOMO or disguised marketing. Real workflow, concrete tools, and how to avoid self-replacement.
AI
12 articles
Automating Code Review with Claude Code, Playwright and Notion
Learn to build an automated code review system with Claude Code, connecting Playwright and Notion through MCP servers.
Claude Code Subagents: Divide and Conquer with AI
Learn Claude Code subagents: specialized AI assistants with isolated contexts and defined roles. Stop context pollution, implement separation of concerns, and build your own AI microservices architecture.
Claude Code: Everything You Need to Be Dangerous
Advanced Claude Code guide for professional developers: patterns, strategies, and practical examples to transform your frontend workflow with AI in a real, applicable, and efficient way.
Creativity: Humanity's Last Stand
Why creativity, curiosity, and technical mastery are the developer's only real defense against AI automation.
MCP: The Protocol Your Frontend Workflow Is Missing
Transform your isolated development tools into an integrated ecosystem that supercharges your Frontend workflow.
1 Hour to 3 Minutes: Frontend Automation with Claude Code
Learn how to automate Frontend tasks with Claude Code. Real case study included, where we reduced task time from 1 hour to 3 minutes. Commands, costs, and real benefits.
Cursor Is Killing You: the Cost of Not Thinking
MIT and Microsoft confirm it: intelligent autocomplete can atrophy your mind. Using AI without thinking erodes your cognitive ability. Learn how to protect your technical judgment as a frontend developer.
No-BS PDD: My Real Workflow to 3x Output
Learn how to triple your output as a frontend engineer using AI — without losing technical judgment. A deep, no-fluff dive into Prompt-Driven Development (PDD): real workflows, effective prompts, common mistakes, and the cost of stopping thinking.
AI Glossary for Frontend Developers: What You Actually Need to Know
A practical glossary of key AI concepts applied to frontend development: LLMs, tokens, prompts, context windows, and more. Explained without jargon, with a sharp focus on real productivity.
Useful Prompting for Frontend: 3 Levels That Actually Work
AI gives you generic code because you give it generic or over-engineered prompts. Context injection beats role prompting: better to provide specific patterns than made-up personas.
The anti-pattern of generating CSS without methodology
Asking AI to “write CSS for this design” without architectural context gives you code that works today — and kills you tomorrow.