The Engineering Capability Trap
Outsourcing can accelerate delivery, but if it replaces internal ownership, companies lose platform knowledge, leverage, and the ability to change safely.
Articles
Leadership
Leadership in engineering is the work of improving how teams think, decide, and deliver together. In practice that usually means setting standards, clarifying priorities, mentoring senior people, shaping technical direction, and turning difficult engineering truths into decisions the wider organisation can actually use.
The Engineering Capability Trap. 
The Seniority Trap: Hiring Experience Without Giving Authority. The Seniority Trap: Hiring Experience Without Giving Authority
The seniority trap happens when organisations hire experienced engineers for judgement, then deny authority, access, decision rights, and influence.
The Talent Bar Paradox in Engineering Hiring. The Talent Bar Paradox in Engineering Hiring
Companies talk about a high hiring bar, but weak offers, slow interviews, and vague criteria drive strong engineering candidates out long before a decision.
The False Economy of Cheap Engineering. The False Economy of Cheap Engineering
Cheap engineering can shrink payroll, but it often increases rework, instability, contractor spend, supplier dependence, and total delivery cost later.
Everyone Wants the Best Engineers. Fewer Companies Want to Pay for Them. Everyone Wants the Best Engineers. Fewer Companies Want to Pay for Them
Underpaying senior engineers can look efficient on payroll, but often costs more through weaker hiring, slower delivery, contractor spend, and retention risk.
The Platform Dependency Trap: When Efficiency Becomes Lock‑In. The Platform Dependency Trap: When Efficiency Becomes Lock‑In
Platforms can speed delivery, but cutting internal capability too far can turn efficiency into lock‑in, weak negotiating power, and expensive migrations later.
The AI Governance Gap in Digital Transformation. The AI Governance Gap in Digital Transformation
AI programmes are often adopted tactically, without enough governance for supplier risk, data exposure, quality, workforce impact, or board accountability.
Why AI Makes Senior Engineers More Important, Not Less. Why AI Makes Senior Engineers More Important, Not Less
As AI reduces friction in implementation, the value of architecture, review, domain judgement, mentoring, and failure analysis rises rather than falls.
The Automation Tax No One Measures. The Automation Tax No One Measures
Automation can save labour, but it also creates monitoring, exception handling, vendor, governance, and security costs that many business cases ignore.
AI and the Collapse of Organisational Memory. AI and the Collapse of Organisational Memory
AI knowledge retrieval can weaken organisational memory when summaries hide context, dissent, incident history, product reasoning, and uncertainty.
The Hidden Cost of Replacing Juniors with AI. The Hidden Cost of Replacing Juniors with AI
AGI vs. AI vs. ASI: What Actually Changes? AGI vs. AI vs. ASI: What Actually Changes?
A practical explanation of AI, AGI and ASI for engineering and product teams, covering capability, autonomy, risk, governance, and real‑world impact.
The AI Middle Manager Problem. The AI Middle Manager Problem
AI can automate management reporting, but this article separates status theatre from judgement, coaching, accountability, and real prioritisation.
The AI Productivity Mirage: When More Output Does Not Mean More Value. The AI Productivity Mirage: When More Output Does Not Mean More Value
AI can inflate output without improving outcomes. This article explains why weak metrics, faster generation, and shallow review create a productivity mirage.
AI Will Be OK If We Stop Treating It Like Magic. AI Will Be OK If We Stop Treating It Like Magic
AI will be OK if teams treat it as real technology, not magic, with adoption shaped by judgement, skills, governance, shared access, and careful autonomy.
What is Artificial Superintelligence (ASI)? What is Artificial Superintelligence (ASI)?
Artificial superintelligence means AI that broadly outperforms humans, not just a better chatbot. What ASI means, why it matters, and what remains uncertain.
The AI Layoff Trap: When Local Efficiency Becomes Systemic Fragility. The AI Layoff Trap: When Local Efficiency Becomes Systemic Fragility
AI automation improves productivity, but unmanaged labour displacement risks weaker demand, brittle organisations, concentrated gains, and a race to the bottom.
How to Vet a Senior Next.js Developer for a Replatform or Recovery Project. How to Vet a Senior Next.js Developer for a Replatform or Recovery Project
How to vet a senior Next.js developer for replatforming, recovery, SEO, performance, CMS, Vercel, and production debugging work.