90% programistów źle używa Claude Code

AI wrote the code. But does it really work? In this episode, I show you three principles of working with Claude Code and AI agents that help transform random code generation into a repeatable, engineering-like process. Most programmers use AI like a chatbot: they post a long task description, add code, and hope the model will figure out the rest. The problem is that a generic prompt gives the AI ​​too much freedom, and then the model starts guessing. In the video, you'll learn: ✅ why a task description alone isn't enough ✅ how to guide Claude Code step by step ✅ how to require evidence ✅ how to use selective context instead of one big prompt This episode is for programmers, architects, and people who use AI for coding but want more control over the quality of the output. If you use Claude Code, Cursor, GitHub Copilot, Codex, or other AI agents, these rules will help you write better prompts, better verify results, and reduce the number of times the AI ​​finishes but the app still doesn't build. #ClaudeCode #AI #Programowanie #SztucznaInteligencja #PromptEngineering #SoftwareEngineering #CodingAI #Programista #CleanCode #ArchitekturaOprogramowania https://architekt-przyszlosci.pl https://devsteer.com/pl ---------------------------------------------------------------- Check Out Our Profiles • Facebook -   / 61579840643774   • Twitter - https://x.com/DevSteer_ • Instagram -   / devsteer_   • Website - https://devsteer.com/pl