Published: 02 November 2026
Citizen developers and business users are increasingly using AI tools to vibe code applications and automate internal workflows. Early successes often create the illusion that AI can build anything, including complex business applications, without engineering expertise. However, as complexity grows, they find themselves trapped in cycles of prompting, troubleshooting and rework. Enterprise architecture and software engineering leaders must establish guardrails, governance and support models that enable safe adoption of AI-assisted development.
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