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AI Buddy Coding: Why Your Best AI Coder Needs a Human Partner

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“A little over a year ago, we copied and pasted AI code snippets.  Today, we have spec-driven development.  Yet the biggest lesson isn’t about the tools - it’s about how we use them.”

We’ve come remarkably far in twelve months.  From basic code completion to sophisticated integrated assistants.  From vibe coding to specification-driven development.  The technology has evolved fast, and it's continuing to improve.


But here’s what I’ve learned building systems with AI coding tools: the best results don’t come from better AI.  They come from treating AI as a coding partner, not a code generator.


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Tool Hopping: Why Switching AI Coders Destroys Your Project

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I watched a team switch AI coding tools mid-project.  Three weeks later, their database architecture had quietly changed and half their API endpoints had lost authentication.

Switching AI coding assistants mid-project isn’t just inefficient.  It’s dangerous.

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The Evolution of AI Coding: From Vibe Coding to Spec-Driven Development

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First-generation AI coders let you chat your way to code. Second-generation tools are discovering that coffee-shop conversations don’t build production systems.

Eighteen months ago, Cursor and Cline pioneered AI-assisted coding. You described what you wanted, the AI generated code and if you were lucky, it mostly worked. We called it “vibe coding” - casual, conversational and utterly inadequate for anything serious.

Now we’re seeing the second wave. And it’s fundamentally different.
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AI Coding: The Emperor’s New Code

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Six months ago, everyone said AI would replace developers.  Today, most AI-generated code needs more debugging than writing from scratch.

The AI coding revolution was supposed to be here by now.  GitHub Copilot would write our applications.  ChatGPT would eliminate junior developers.  Cursor would make senior developers 10x more productive.

Instead... we’re drowning in plausible-looking code that doesn’t quite work.

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