#12 Rules for Controlling AI Behavior
In this episode of the Vibe Coding series, we add rules and behavioral controls to our AI system so responses become more accurate, consistent, and aligned with the app’s goals. We cover: AI behavior rules System prompts and instructions Response constraints Guardrails and safety Improving AI consistency Structuring better AI interactions This is an important step in building reliable AI-powered applications using modern development workflows.
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I Hacked This Temu Router. What I Found Should Be Illegal.
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#9 Iterating with New Features
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#4 Choosing a Tech Stack + Understanding SDLC
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Model Context Protocol (MCP) Explained for Beginners: AI Flight Booking Demo!
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#6 How to Create SPEC.md & TODO.md for a Web App
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Why AI Agents are either the best or worst thing we’ve ever built
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It finally happened
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Full Walkthrough: Workflow for AI Coding — Matt Pocock
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Are we stuck with the same Desktop UX forever? | Ubuntu Summit 25.10
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I Tested Every Claude Code Feature, These 12 Are the Best
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Why The Russian Accent Terrifies Everyone
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Don't learn AI Agents without Learning these Fundamentals
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#8 Configuring Version Control with Git (while Vibe Coding)
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#10 Making Our App More Reliable with Automated Testing
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How AI agents & Claude skills work (Clearly Explained)
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#13 — Model Context Protocol (MCP) Explained
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#7 Building the First Feature of Our Flashcard Web App
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How I learned Unity without following tutorials (Developing 1)
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Agent Skills or MCP in the era of Claude Code?
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