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Vibe Coding

Building Adaptive AI Agents with Code and Context

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Vibe Coding

De: Andrej Sanderson
Narrado por: Virtual Voice
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Most people poke at large language models with random prompts and hope for magic, then walk away thinking, “Neat trick, but now what?” Vibe Coding: Building Adaptive AI Agents with Code and Context offers a sharper answer. It treats AI not as a chat toy, but as a cast of intent-driven personalities you design, direct, and wire into your real workflows. With a clear, memorable methodology, Andrej Sanderson shows you how to turn vague ideas into agents that remember, adapt, and actually get things done, whether you are trying to clean up your notes, speed up your research, or cut the drudge work out of your day. No PhD, no heavy frameworks, just the smallest amount of code and context that gives you serious leverage.

The book opens by replacing fragile prompt-spam with structured vibes, then builds a simple mental model for the “vibe stack”: models, context, glue code, and you as the director. You will see why naming the personality first, defining tone and constraints, and setting clear success signals beats endlessly rewording the same chat prompt. From there, Sanderson moves quickly into practical builds. You will create a “Clarity Coach” agent in roughly twenty lines of script, run a tight testing loop, and watch how small changes to your vibe sheet transform mediocre outputs into sharp, reliable help. As Alex, a non-technical product manager, discovers, this approach can reclaim hours from meetings and planning sessions in a single evening.

Across the middle chapters, Vibe Coding focuses on what actually makes agents feel smart: context and tiny scripts. You will learn how to feed models the right mix of instructions, memory, and references so they “get” your goals and your voice, without drowning them in noise or blowing your budget. You will pick up lightweight retrieval, pattern recipes like “fetch, transform, send,” and a troubleshooting mindset that lets you see where a flow is breaking and fix it quickly. Along the way, you will assemble agents for research, content, and planning, explore simple multi-agent relays that hand off work cleanly, and see how people like Fiona, Carlos, Eleanor, and Ravi turn these setups into real creative output, fewer mistakes, and even new revenue.

By the final chapter, you will not only understand vibe coding as a concept, you will have agents you built, deployed, and trusted to work while you slept, plus a roadmap for growing from tinkering to income-generating services. If you are ready to stop begging a chatbot for half-useful answers and start directing a small cast of adaptable AI helpers, this book is your playbook. Open Vibe Coding, pick a task that bores you, and let your first custom agent prove what is actually possible.

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