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# AI confidence is high, evidence lags behind, SmartBear report finds

**[SD Times](https://daily.dev/sources/sdtimes)** · 4 min read · 0 upvotes · 0 comments

## Summary

SmartBear's State of Software Quality and Testing 2026 report finds a confidence gap between organizational leaders and software practitioners regarding AI's ability to validate its own code. 81% of leaders believe AI can reliably catch its own errors versus 64% of practitioners, even though 46% of teams have shipped AI-generated code that later failed. Despite this, only 3% rely solely on AI self-validation, while 84% still use human review. The report highlights concerns about AI testing itself creating a 'testing black box' and describes a three-stage validation approach organizations are adopting: checking specifications before generation, reviewing code before commit, and testing before release.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://sdtimes.com/ai-confidence-is-high-evidence-lags-behind-smartbear-report-finds>

## Questions this post answers

### What percentage of teams have shipped AI-generated code that later failed, according to the SmartBear 2026 testing survey?

46% of teams report having shipped AI-generated code that later failed. Notably, of those teams, 69% still said they have a lot or complete confidence that the code was acting as intended, revealing a disconnect between actual outcomes and perceived reliability of AI-generated code, as found in SmartBear's State of Software Quality and Testing 2026 report.

_Teams weighing how much to trust AI-generated code can track findings like this on daily.dev._

### Why is it risky to let AI validate its own generated code without human oversight?

Letting AI both generate and validate code creates a testing black box, because the logic behind the tests and the assumptions baked into them aren't independently legible to human reviewers. There's no separate signal confirming whether a passing test suite reflects genuine coverage or just AI confirming its own work, per SmartBear's 2026 quality report, which is why 84% of surveyed organizations still use human review.

_Anyone deciding how much autonomy to give AI in testing can follow this debate on daily.dev._

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---

Tags: [#testing](https://daily.dev/tags/testing), [#ai-coding](https://daily.dev/tags/ai-coding), [#code-review](https://daily.dev/tags/code-review)

[View this post on daily.dev](https://daily.dev/posts/ai-confidence-is-high-evidence-lags-behind-smartbear-report-finds-gqixpftqu)

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