Vibe coding, AI tools, and the future of building software
Teams lose 15+ hours weekly switching between AI coding models. Learn the hidden costs of GPT-4/Claude juggling and how to build efficient AI workflows.
Discover how malicious dependencies exploit AI code generators through prompt injection attacks, and learn practical strategies to protect your codebase.
Why most AI coding startups are doomed to fail by 2025, and the strategies successful ones use to build sustainable, AI-assisted development practices.
I stress-tested Claude, GPT-4, Gemini and other AI models building identical features under time pressure. Here's what happened when the coding gloves came off.
Learn how to build production-ready features using prompt chaining - a systematic approach to breaking complex AI development into 10+ connected prompts.
Struggling with AI-generated microservices? Learn practical patterns for building distributed systems when your AI assistant keeps thinking monolith.
Learn how I cut AI development costs by 60% through smart context reuse, prompt caching, and conversation management strategies that boost coding efficiency.
Learn why AI-generated prototypes become production nightmares and discover a 3-week refactoring framework to transform MVP code into scalable systems.
Discover how adding AI to pair programming creates a powerful "human-AI-human triangle" that outperforms traditional collaboration methods in software development.
Three startups lost $2M from AI code disasters. Learn the testing patterns that could have saved them and protect your production systems.