Resources
Guides and long-form analysis on using AI responsibly, improving how work moves, and building systems that create real value beyond the demo.
From Justin's notebook
AI leadership
AI has made activity-based measures such as lines of code and commit counts even less useful. This guide examines how leaders can use balanced frameworks such as DORA and SPACE to measure delivery, quality, team health, and business value instead.
November 11, 2025 · 27 min read
Read on MediumEngineering quality
Generating code faster does not automatically make software cheaper. This article explores comprehension debt: the review, validation, maintenance, and architectural work created when teams adopt machine-generated code without preserving shared understanding.
October 6, 2025 · Long-form analysis
Read on MediumAI delivery
AI changes more than the speed of implementation. It changes how teams plan, share context, review work, and maintain quality. This piece outlines the practices and tools needed to make AI part of a dependable software delivery system.
October 11, 2025 · Long-form analysis
Read on MediumThe technology changes quickly, but the standard for useful automation stays steady: it should solve a clear problem, fit the way your team works, and remain understandable after launch. Clockwrk applies the same thinking found in these articles to everyday business workflows—from responding to leads and managing appointments to connecting the systems your staff already relies on.