DevOps Practices Tech Teams Must Strengthen In The AI Era
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InnovationDevOps Practices Tech Teams Must Strengthen In The AI EraByExpert Panel®,Forbes Councils Member.for Forbes Technology CouncilCOUNCIL POSTExpertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. | Membership (fee-based)May 21, 2026, 01:15pm EDT gettyAI tools are now common in software development, and teams can generate code faster than ever. But faster output doesn’t automatically mean better results, especially when hidden bugs, security gaps, integration issues and maintainability problems also move rapidly through the pipeline.That’s why DevOps discipline—operations and quality teams working together to build, test and improve software—becomes more important, not less, as AI is integrated into the workflow. Below, members of Forbes Technology Council discuss the DevOps practices organizations need to reinforce to turn AI-driven speed into reliable, secure and sustainable software delivery.Pair AI-Assisted Development With Production GuardrailsOrganizations must strengthen engineering excellence through disciplined review and quality gates. AI can speed code creation, but it can also amplify defects, security gaps and inconsistency. The real advantage comes from pairing AI-assisted development with stronger testing, peer review and production guardrails. - Vikas Mittal, Walmart Global TechStrengthen Testing DisciplineAs AI accelerates code generation, the volume and speed of code changes will increase dramatically. However, AI-generated code can introduce subtle bugs, security vulnerabilities and inconsistencies that may not be immediately visible. Without strong testing discipline, organizations risk deploying faster but with lower quality and higher risk. - Kirti Acharya, Anlage DigitalForbes Technology Council is an invitation-only community for world-class CIOs, CTOs and technology executives. Do I qualify?Mandate Comprehensive Automated TestingComprehensive automated testing is essential, specifical...





