Cognitive Overload in AI-Assisted Engineering

Explore how AI coding agents are changing the role of engineers from code creators to continuous reviewers and decision-makers. Learn how increased output volume, larger pull requests, and constant validation demands can create cognitive overload, decision fatigue, and reduced review effectiveness.

Automation Bias and the Risk of AI Over-Trust

Understand why humans naturally place greater trust in highly capable AI systems and how this can lead to automation bias. Discover how AI-generated code can appear correct while hiding assumptions, logic errors, and security risks, creating new challenges for technical teams responsible for quality and governance.

Systemic Vulnerabilities in AI-Agentic Software Delivery

Examine the wider organisational risks introduced by AI-driven development workflows, including technical debt, reduced architectural understanding, review bottlenecks, and unrealistic delivery expectations. Learn the key engineering practices and operational guardrails needed to safely scale AI-assisted software development.