AI-Driven Development Outpaces Testing, Raising Quality Concerns
Event summary
- 70% of software experts report degraded application quality due to AI-accelerated development.
- 60% experienced quality issues in the past year as development outpaced testing.
- 93% of respondents have adopted AI coding tools, with 40% using them for over 40% of code generation.
- SmartBear launched BearQ™, an autonomous testing system to address quality gaps.
The big picture
The survey highlights a growing disconnect between AI-accelerated software development and the ability of teams to ensure application quality. As AI tools become ubiquitous, the industry faces a critical inflection point where traditional testing methods may no longer suffice. SmartBear's launch of BearQ™ underscores the need for autonomous testing solutions to maintain application integrity at scale.
What we're watching
- Testing Bottlenecks
- Whether manual testing bottlenecks will persist as AI development accelerates.
- Leadership Awareness
- How quickly decision-makers recognize and address the risks of faster AI development without equivalent testing improvements.
- Investment Trends
- The pace at which companies increase testing investments to match AI-driven development speeds.
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