The AI Coding Manifesto: Building Scalable Codebases
165
To prevent AI-driven codebase degradation, developers must use minimal semantic functions, clear pragmatic wrappers, and models that strictly enforce state correctness.
Stop Optimizing the Keyboard: Why Faster Coding Won't Fix Your Delivery
332
Increasing the speed of code production without fixing systemic bottlenecks only creates more unfinished work and slower delivery of actual value.
The AI Velocity Trap: Short-Term Gains vs. Long-Term Complexity
147
Cursor AI offers a temporary productivity surge that eventually slows down development due to increased code complexity and technical debt.
Cognitive Debt: The Invisible Cost of AI-Driven Velocity
507
Cognitive debt is the invisible gap between the high velocity of AI-generated code and the limited human capacity to understand and maintain it.
AI and the Future of Software: Engineering Rigor as the Ultimate Accelerator
202
AI accelerates software development velocity, making traditional engineering rigors like TDD and code health more critical than ever to avoid accumulating technical debt.
Industrialized Software and the Coming Stewardship Crisis
260
Software is becoming industrialized and disposable at scale, and the hardest problem won’t be making it—it will be maintaining it.
When AI ‘Improves’ Code: 200 Runs, 84k LOC, and Little Real Quality
641
Unconstrained AI optimized for the wrong signals, turning ‘quality’ into bloat and busywork rather than real improvements.
We Normalized Broken Software—and Physics Won’t Bail Us Out
314
We normalized broken software and tried to paper it over with AI and hardware, but physics and fundamentals are catching up.
Comprehension Debt: The Hidden Cost of Fast AI Code
532
Rapidly shipping unread LLM-generated code creates a mounting comprehension debt that will slow teams down when real changes are needed.
Avoiding the AI Coding Trap: Treat LLMs Like Fast Juniors with Real Engineering Discipline
685
Use AI’s speed within disciplined engineering practices—treat LLMs like fast juniors—to ship sustainable, high-quality software instead of quick but brittle code.