Info-Tech says AI-generated code needs human review to limit defects and debt

Info-Tech Research Group said organizations that use AI-generated code need human review and guardrails to reduce defects, security gaps and technical debt as software teams adopt the tools more widely.

The company’s blueprint, Defend Against Defects and Technical Debt in Your AI-Generated Code, says AI-assisted development can improve developer productivity and delivery speed, but unmanaged use can spread problems across the software development life cycle.

Info-Tech says AI-generated code can appear polished and production-ready while still hiding architecture problems, maintainability issues and security risks that may be harder to catch early.

The release says the risks are different from human mistakes because AI systems do not fully understand business context or the long-term operational effect of the code they produce. Ari Glaizel, associate vice president of research development at Info-Tech Research Group, said organizations still need a human accountability layer to validate, review and govern AI-assisted development.

The blueprint lays out a phased framework. The first step is to define where AI-generated code will be used across the software development life cycle and identify high-risk stages that need stronger oversight. The second step is to set guardrails, including audits of delivery pipelines, non-functional requirements, prompting standards and AI-specific pull request verification checklists. The third step is to set measurable objectives, success metrics and phased implementation roadmaps.

Info-Tech said the blueprint also includes an AI Code Quality Starter Kit workbook. The company says it serves more than 30,000 IT, HR and marketing leaders worldwide and has been operating for nearly 30 years.

The release was dated Aug. 11, 2026, from Arlington, Va. No additional company comment beyond the release was included in the brief.

Sources