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Notes on software control, vendor risk, and prototype readiness
Practical writing on software projects, vendor evaluation, maintainability, workflow design, AI-built prototypes, and realistic automation.
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Stop Outsourcing AI Thinking
Most SMEs start AI adoption by shopping for tools or automation. A better start is to help the people who already understand the business use AI well, then automate only what proves stable.
The First Coding Benchmark That Feels Like My Actual AI Work
DeepSWE separates coding agents in a way older benchmarks often did not. That matches what I have seen using Codex and Claude side by side: the best tool is the one that survives real work, not the one with the loudest hype cycle.
AI Is Still Cheap. But for How Long?
For heavy users, cheap AI subscriptions are a capacity-managed bargain. The real price shows up when usage moves to API and enterprise terms.
The Interviewer Problem: Why Better Questions Get Better Answers from People, Experts, and AI
Most people think intelligence lives only in the answer. In reality, a large part of it lives in the question.
AI Coding Did Not Fix Slow Delivery. It Exposed It.
There is this interesting post from the OpenAI Codex team that makes an old truth harder to dodge: once coding gets cheap, every weakness in specs, testing, approvals, and release flow becomes painfully visible.
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