Vibe coding, AI tools, and the future of building software
AI-generated code often introduces bloated dependencies that become maintenance nightmares. Learn practical strategies to audit and clean up your AI-suggested dependencies.
Who's liable when AI-generated code fails in production? Exploring the legal and professional responsibility questions reshaping software development teams.
Learn to spot 8 critical AI code smell patterns that slip past tests but cause production failures. Practical tips for reviewing AI-generated code quality.
Learn how to resolve merge conflicts when your team uses different AI coding tools. Practical strategies for managing AI-generated code conflicts in Git.
AI generates syntactically perfect code that compiles cleanly, but often creates architectural nightmares. Learn to evaluate true code quality beyond syntax.
Learn practical strategies for switching between AI coding assistants mid-project without breaking your codebase. Real techniques for preserving context and patterns.
Learn how to use AI for coding interview prep without undermining your skills. A balanced approach to practicing with AI that builds real problem-solving abilities.
Discover why AI-generated code often creates messy systems and learn practical patterns to maintain clean architecture while coding with AI assistance.
Learn when to code yourself vs delegate to AI with a systematic approach. Real examples from building an e-commerce checkout flow with decision trees and patterns.
Struggling to keep AI assistants up to speed on your multi-day coding projects? Learn practical techniques for preserving context and maintaining consistent AI help.