Stack Overflow Data Reveals the Hidden Productivity Tax of ‘Almost Right’ AI Code - Slashdot
Developers are growing increasingly frustrated with AI coding tools that produce deceptively flawed solutions, according to Stack Overflow’s latest survey of over 49,000 programmers worldwide. The 2025 survey exposes a widening gap between AI adoption and satisfaction: while 84% of developers now us…
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"Developers are growing increasingly frustrated with AI coding tools that produce deceptively flawed solutions"

I see three possible explanations, which most developers will dislike and reject.

AI Hype Cycle: the natural cycle of human perception, exuberance of expectation followed by the disappointment of reality.

Not Managing Non-deterministic Behavior: Most developers can recite "repeatable process" but rarely understand a rigorous routine. For instance, a developer using MacOS to develop Linux apps has already violated the spirit of Repeatable Process with that small possibility of compatibility issues. True repeatable process is necessary to counter the non-deterministic nature of generative AI.

Token Overload: "When developers push entire systems into a single prompt, they exceed the context window, triggering subtle, non‑deterministic errors that look plausible but break downstream logic. This isn’t intelligence failing; it’s complexity spilling over the edges... Treat AI more like a network with packet constraints—small, controlled exchanges lead to reliable outcomes, while oversized payloads silently drop information."

AI Hype Cycle
The Gartner Hype Cycle was a popular artifact during the Dot Com bubble to predict the growth cycle of information startups. The recent spate of negative AI articles is a normal part of the Hype cycle, which is probably now in the “trough of disillusionment”. ChatGPT generated a set of
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AI Codegen - 2025
Optimizing SOA development methodology for AI code generation
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