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Vibe Coding and the Death of Craftsmanship – The Complete Guide for Engineering Leaders
A comprehensive guide to vibe coding and the AI productivity paradox. Why developers feel 24% faster but measure 19% slower, and what to do about it.
A Framework for Responsible AI-Assisted Development – When to Use AI and When to Avoid It
An implementation playbook for AI coding tools: decision framework, 10 quality gates, DORA metrics instrumentation, and a 90-day responsible adoption plan.
How Senior Engineers Are Adapting to AI Coding Tools or Resisting Them
Senior engineers resist AI coding tools while juniors embrace them. Learn consensus-building frameworks, review redesign, and augmented coding for CTOs.
AI-Generated Code Security Risks – Why Vulnerabilities Increase 2.74x and How to Prevent Them
AI-generated code introduces 2.74x more vulnerabilities. Learn why privilege escalation, secrets exposure and design flaws spike, plus 8 quality gates to prevent them.
Junior Developers in the Age of AI – Who Trains the Next Generation of Engineers
AI tools compress onboarding from 24 to 9 months, but juniors show 17-point comprehension gaps. Who becomes your senior engineers if foundational skills atrophy?
The Case For AI Coding Tools – Democratisation, Velocity, and When They Actually Help
AI coding tools promise democratisation and velocity. Explore where they genuinely help, what vendor research shows, and a strategic adoption framework.
The Case Against Vibe Coding – Understanding, Craftsmanship, and Long-Term Costs
AI-generated code creates 1.7x more issues, 2.74x more vulnerabilities, and collapses refactoring. Evidence-based analysis of vibe coding’s long-term costs.
The AI Productivity Paradox – Why Developers Feel Fast But Deliver Slow
Developers believe AI makes them 24% faster, but controlled studies show 19% slower. Explore the 43-point perception gap, what research reveals, and why DORA metrics stay flat.