84% of Devs Use AI Coding Tools, but Confidence Scores Often Go Unverified

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A developer building a debugging tool called DebugAI has highlighted a critical flaw in how AI coding assistants present confidence scores: the numbers are self-generated estimates from the model itself, with no mechanical checks behind them. Stack Overflow's 2025 Developer Survey found that 45% of developers say debugging AI-written code takes longer than expected, and 66% cite 'almost right' answers as their top frustration. To address this, DebugAI introduces a three-state 'verified' field — true, false, or null — so users can distinguish between fixes that passed a mechanical check, failed one, or were never checked at all. Currently, the tool runs syntax and import checks for Python and JavaScript, deliberately returning null rather than a false confidence signal when a check is out of scope or times out. The core principle is that collapsing 'not checked' and 'checked and passed' into the same visual output is how tools mislead users without any deliberate intent to do so.

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