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34-page hands-on guide to building production software with AI agents. Prompts, workflows, MCP, CrewAI, Cursor — everything a real engineer needs to ship faster without losing control of the codebase.
Who This Guide Is For
You're a developer. You've tried GitHub Copilot, played with ChatGPT, maybe even set up Cursor. And yet — your AI-assisted projects still feel messy. The code looks plausible, but you're not sure you trust it. Velocity spikes in week one, then collapses under a pile of hallucinated APIs, inconsistent style, and "I have no idea what this function actually does."
This guide was written for engineers who are done experimenting and ready to build a systematic, repeatable AI workflow — one that scales from solo side projects to production team codebases.
This guide is for you if:
You use Cursor, Windsurf, Continue, or similar AI coding tools but feel like you're leaving 70% of the value on the table
You've shipped AI-assisted code you didn't fully understand — and it scared you a little
You lead a team and want a shared standard for how AI gets used in your codebase
You're building with CrewAI, AutoGen, or MCP and need a production-grade mental model — not another "hello world" tutorial
You want to automate your dev workflow with n8n + AI but don't know where to start
What's Inside — 34 Pages, Zero Filler
Introduction: The Methodology Why 90% of AI-assisted projects fail (and the six exact failure modes), the difference between "vibing with a chatbot" and Vibe Coding as a discipline, and the three roles every successful AI-augmented team needs: Architect, Prompt Engineer, Integrator.
PDF Guides
The Engineer's Vibe Coding Guide
34-page hands-on guide to building production software with AI agents. Prompts, workflows, MCP, CrewAI, Cursor — everything a real engineer needs to ship faster without losing control of the codebase.
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