OutSystems Agent Experience Empowers Governed AI Development Across All Coding Agents, Enhancing Enterprise Control and Reducing Costs

OutSystems has launched its Agent Experience, now generally available, which aims to bridge the gap between the rapid innovation of AI coding agents and the stringent requirements of enterprise development. The platform integrates with various AI coding agents, including Claude Code, Cursor, Codex, and Kiro, allowing developers to utilize these tools within a governed framework. This means that while developers can benefit from AI-driven code generation, the OutSystems platform automatically enforces system dependencies, data relationships, and existing business logic. This approach is designed to minimize technical debt and maximize code reuse, addressing a common pain point with AI-generated code that often requires significant rework. This development is particularly significant for enterprises, especially those in regulated sectors, that have been cautious about adopting AI coding tools. The Agent Experience provides out-of-the-box security, automated testing, and governance guardrails, ensuring that software quality, reliability, scalability, and performance remain predictable. This level of control is vital for reducing complexity and risk associated with AI-driven development at scale. For practitioners, it means they can experiment with and deploy AI agents without fear of creating fragmented or non-compliant codebases, accelerating development cycles while maintaining enterprise standards. The release of OutSystems Agent Experience aligns with a broader industry trend towards agentic AI systems and the need for robust governance in AI development. As AI agents become more sophisticated and capable of handling complex tasks, the challenge shifts from mere code generation to ensuring these agents operate within established architectural and security parameters. Other platforms are also focusing on integrating AI into development workflows, with an emphasis on control and efficiency. For example, Google Cloud's Gemini Enterprise is being used to build AI-Native Product Factories that reimagine product development with built-in security and governance. The Information Commissioner's Office (ICO) is also increasing its scrutiny of AI agents, highlighting the growing importance of data protection and responsible AI development. In practice, this means developers can now leverage the speed of AI coding agents without the usual trade-offs in control and quality. Teams can deploy applications and AI agents across various environments—public cloud, private cloud, on-premise, or hybrid—to meet specific regulatory and security requirements. This flexibility, combined with integrated lifecycle management, allows organizations to tackle complex enterprise software and AI projects with greater confidence. Practitioners should explore how this platform can integrate with their existing CI/CD pipelines and governance frameworks to fully realize the benefits of AI-accelerated development while mitigating potential risks.