Vibe coding, AI tools, and the future of building software
Why do 90% of AI-generated features fail to reach production? Analysis of 200+ failed features reveals the reality gap between AI prototypes and shipping code.
47 developers tested switching between 12 AI models mid-project. The results reveal hidden productivity costs and optimal strategies for AI-assisted coding.
Discover how malicious dependencies can exploit AI code generation through prompt injection attacks, plus practical methods to detect and prevent these backdoors.
AI models training on AI-generated code create quality degradation loops. Learn to detect contaminated training data with practical scripts and tools.
Learn from the $100M graveyard of dead AI coding models. Discover patterns in model lifecycles and build workflows that survive platform changes.
Slow AI models are killing your productivity. Learn how 3-second response times cost developers $50K annually and discover optimization strategies to cut latency.
I tested 12 AI coding models building the same e-commerce app. Here are the real metrics on code quality, performance, and which models actually ship.
I fine-tuned 5 AI models to match my team's coding standards. Here's what worked, what didn't, and the surprising winner in our head-to-head comparison.
The explosion of AI coding models is fracturing dev teams. Learn practical strategies to standardize AI tools and coordinate team workflows effectively.
Discover how developers use advanced prompting to bypass AI safety filters for code generation, plus the ethical implications you need to consider.