AI feedback isn't learning: separating memory, runbooks, and model updates for safe agent governance.
Explores the tension between AI enthusiasts racing to adopt AI and skeptics warning about reliability and knowledge loss.
Analysis of the tension between AI enthusiasts and skeptics in software teams, highlighting the race for innovation versus maintaining reliability.
A blog post arguing that startups should prioritize shipping imperfect solutions over waiting for perfection to maintain momentum.
Explores harness engineering as a control layer for specs-driven AI development, shifting from human-in-the-loop to automated validation.
A structured feedback practice for AI-assisted development, turning individual AI interactions into team-wide improvements through shared artifacts.
Explores the concept of 'valuable' in test automation, focusing on what makes feedback meaningful for software teams.
A former gamer reflects on how modern games remove the 'grind' and how that work ethic was a valuable life lesson for entrepreneurship.
