The report, which surveyed 578 engineering and product leaders, confirms that AI is now a fixture in the software development lifecycle. Approximately 84% of teams utilize AI during the build phase, with 83% of respondents observing a meaningful reduction in code defects. Despite these performance metrics, the transition has created a friction point: 67% of developers admit that code generated by AI requires more rigorous testing than human-authored work. This shift effectively reallocates developer time from initial coding to intensive validation and review.
AI Gains in Software Development Outpace Governance Maturity
While 94% of software developers report significant productivity gains from artificial intelligence, a new study by the Info-Tech Research Group reveals that organizational governance is failing to keep pace. As adoption surges, the reliance on AI-generated code is introducing new security risks and testing bottlenecks that demand immediate oversight.
Brian Jackson, principal research director at Info-Tech, warns that speed should not be mistaken for finished quality. Currently, only 37.4% of organizations maintain formal procedures for managing AI-assisted output, leaving many teams to operate in an ad hoc environment. Security remains the primary barrier to broader integration, cited by 48% of firms, while legacy infrastructure continues to hamper AI effectiveness. As organizations scale, experts suggest that prioritizing clear production-readiness standards and security guardrails is essential to ensure that AI-driven efficiency does not evolve into unmanaged technical debt.
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