
The AI productivity paradox: When faster code creates more work
Why the first output tells us little about real time savings, and how developers can assess AI assistance sensibly.
Read articleUnderstanding IT. Making sense of AI development.
6 articles

Why the first output tells us little about real time savings, and how developers can assess AI assistance sensibly.
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Prepare software updates around real workflows, data changes and a workable recovery plan—not just a successful installation.
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Compare software around offline tasks, device access, collaboration and operating responsibilities—not labels or blanket cost promises.
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A green status does not rule out every failure. Respond to software outages with meaningful checks, useful logs and clear responsibilities.
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Why data exports, open interfaces and a planned supplier change matter when choosing software.
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Why clear forms, keyboard operation and accessible applications should be planned from the outset.
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