AI coding tools boost code volume but create operational bottlenecks in review, security, and ops, requiring new CIO metrics.
Platform engineering is now a CEO-level strategy for boosting business throughput by reducing engineering friction and accelerating software delivery.
An experienced engineer discusses why project management is a common blind spot for senior developers and how to overcome it.
Explores how the theory of constraints applies to AI-assisted coding, showing that code review bottlenecks limit shipping speed despite faster code generation.
Introduces AI-DLC, a new software delivery lifecycle designed for AI-native engineering, moving beyond incremental AI tool adoption.
Explores 10 essential design patterns for coding agents and agentic software delivery, moving beyond AI-assisted coding to AI-augmented development.
AI makes work feel productive but not finished; focus on user outcomes over artifacts.
Practical advice on implementing AI in software development, focusing on boring but valuable workflows, safety guardrails, and real-world delivery over hype.
A university IT department's journey using application virtualization to streamline software delivery across labs and personal devices.
The article critiques the common hiring approach for 'DevOps Engineers,' arguing that DevOps is a culture, not just a role defined by tools.
A software engineer shares five key principles for successful software delivery teams: flexibility, commitment, respect, communication, and reliability.
