



AI development is radically transforming both how software is built and the role of the developer. With vibe coding and AI coding tools, it's never been easier to build working applications quickly. This has led to an explosion of new tools and applications created without days of hand coding or years of training. After all, it feels incredible to see an app emerge from a conversation.
But using these tools isn't leading to higher quality software or more coherent architectures. At best, they produce MVPs that lead to questions from senior leadership around scalability, reliability, and security. Then there's the fact that enterprises remain as complex as they've ever been, and shipping safely across their environments continues to be a stumbling block. They have legacy systems that restrain innovation and, as they make our processes agentic, they'll need even more complex data management and integration.
What's needed is a breakthrough approach to AI development for enterprises. Agentic Systems Engineering is a different way to help organizations build, manage, and evolve governed agentic systems for the enterprise. It's different because it's built on the rich context and guardrails that agents require, and it's open. You can merge agentic development from either OutSystems Mentor or third-party agentic coding tools like Cursor and Claude Code into one governed platform, supported by the best that LLMs have to offer. Let's explore how it empowers you and your teams to build and ship AI with confidence in performance and outcomes.

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