Stop Wasting Time: Turn AI Prompts and Context Into Production Code

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Spent three hours writing the perfect AI prompt only to watch it fail spectacularly? You're not alone. The problem isn't bad AI – it's that most developers treat prompts like throwaway commands instead of production code. This video reveals why context is everything in AI development, walking you through the evolution of a real prompt from 5 words to 500, and showing how proper prompt engineering can transform your team's productivity.

But here's the kicker: even perfect prompts are useless if your team can't share them effectively. I'll demonstrate how to turn your carefully crafted prompts into a shared asset using the Model Context Protocol (MCP), creating a system that evolves with your team and deploys like any other code. By the end, you'll understand why prompt management – not smarter models – is the real future of AI development, and you'll have the tools to build that future for your organization.

#AIPrompts #MCPProtocol #DevOpsAI

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➡ Transcript and commands: https://devopstoolkit.live/ai/stop-wasting-time-turn-ai-prompts-into-production-code
???? Model Context Protocol: https://modelcontextprotocol.io

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▬▬▬▬▬▬ ⏱ Timecodes ⏱ ▬▬▬▬▬▬
00:00 Introduction to AI Context and MCPs
01:23 AI Context Management Explained
05:44 Prompt Engineering Best Practices
09:40 Sharing AI Prompts Across Teams
13:25 MCP for Prompt Distribution
16:03 Prompt Management Key Takeaways