TL;DR Software fundamentals matter more now than they ever have, agents made skipping them more expensive, not less. Coding was the bottleneck. Agents made coding fast, for prototypes. Past prototype scale, the slower work (design, naming, structure) is the precondition for the speed compounding instead of collapsing. Six quotes from...
If you’ve ever had an AI code review that missed something obvious, or gotten a plan that seemed solid until implementation revealed hidden assumptions, you’ve encountered the blind spot problem. Every model—even the best ones—has blind spots. The real question isn’t which model is perfect. It’s how do we mitigate...
PS C:\DevProjects\DevBlog> Get-Content .\Architecture\StopHookQualityGates.md 🎯 Introduction In a previous post, I wrote about feedback loops through compilation, static analysis, and testing — mechanisms that let AI coding agents validate their own work iteratively. Those loops operate at the code level: does it compile, does it pass analysis, do the tests...
PS C:\DevProjects\DevBlog> Get-Content .\Architecture\PluginMarketplaces.md 🎯 Introduction Coding agents produce a growing number of reusable artifacts — skills, agents, MCP servers, and hooks. Agents have matured to the point where they self-correct through feedback loops and handle real complexity. But sharing what we build with them still looks a lot like...
PS C:\DevProjects\DevBlog> Get-Content .\Thoughts\GamingMindset.md 🎯 Introduction For decades, gaming was often dismissed as a distraction - a “time sink” that pulled developers away from more “productive” pursuits. But as we transition into the Agentic Era of software development, where we no longer just write lines of code but orchestrate teams...