Context or Prompt Engineering? скачать в хорошем качестве

Context or Prompt Engineering?

Are you stuck building fragile AI prototypes that collapse the moment you try to scale them? You’re not alone. Most developers hit the same wall — vibe coding feels magical at first, but it’s unreliable for real-world applications. In this video, we break down how to move beyond AI prototype hacks and start building production-ready AI applications with a proven framework: Context Engineering. What you’ll learn in this AI development tutorial: ✅ Why vibe coding (coined by Andrej Karpathy) is fun but fails at scale ✅ The four hidden traps of messy prompts: context distractions, confusion, poisoning, and drift ✅ How Context Engineering transforms Large Language Models (LLMs) into reliable coding partners ✅ A deep dive into the PRP (Product Requirement Prompt) framework for robust AI workflows ✅ Real-world examples of using LLMs for production-ready server applications ✅ How to 10x your development speed with structured AI engineering If you want to go from fragile AI hacks to scalable, business-ready software, this is the guide for you. 🔔 Subscribe for more deep dives on AI, coding workflows, and production engineering. #AIDevelopment #ContextEngineering #VibeCoding #PromptEngineering #LLM #AIProgramming #Karpathy #AIApps #AIWorkflow #productionai