Working Is Not a Quality Metric
Why producing working code faster with AI raises the stakes on architectural quality, and why passing tests is not the same as having sound boundaries.
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Why producing working code faster with AI raises the stakes on architectural quality, and why passing tests is not the same as having sound boundaries.
Why OpenSpec belongs in a different category than knowledge tools—and why planning before execution is the actual constraint it addresses.
Why the biggest gain in AI-assisted development comes from durable local knowledge and disciplined workflow structure, not from keeping every external tool always active.
Why AI-assisted development breaks down when useful reasoning disappears between sessions, and why durable project context matters more than clever prompts.
Why planning is less about agent autonomy and more about making AI-assisted work inspectable before it becomes expensive.
Why tools for AI agents should be designed as working surfaces, not just exposed as function calls.