Join Logan Brade as he breaks down the shift toward Agent Systems Engineering and demonstrates how the new AI Mentor is evolving. Witness firsthand how Mentor operates directly within ODC Studio, gaining full context of your application to suggest and implement real-time changes. It’s more than just a tool; it’s your persistent AI co-developer for the OutSystems ecosystem.
Relational databases are excellent at transactional consistency, but they are not built for high-speed, full-text search across millions of records.
That’s where Elasticsearch comes in. For blazing-fast search in ODC, Elasticsearch wins.
Learn how developers can implement a robust and elegant solution for multi-file uploads within OutSystems applications by strategically leveraging Web Workers, a powerful web standard for web content to run scripts in background threads.
For technical professionals and business leaders working in OutSystems Development Cloud (ODC), achieving true Dev@Scale means embedding modern continuous integration/continuous delivery (CI/CD) practices directly into the application lifecycle.
Building an AI agent prototype is one thing; running it safely and reliably in production is another. This Refcard walks engineers and technical leaders through the architecture, governance, security, evaluation, deployment, and monitoring decisions required to move AI agents from demo to production.
Explore a practical decision framework for production RAG systems, including when to use SQL, full-text search, and vector retrieval — and how to combine them with routing, metadata filters, re-ranking, and traceable evidence.
Use this checklist to prepare tool-using agents for enterprise production with clear scoping, actor identity, action-level authorization, tool allowlists, deny-by-default behavior, and audit logs for every tool call.
Learn how to effectively test AI-powered applications by combining traditional software QA practices with specialized evaluation methods for AI models, agents, and RAG systems.
Learn how end-to-end observability helps teams monitor AI agents and workflows by tracing prompts, tool calls, decisions, and business outcomes in production environments.
Learn how Agentic Systems Engineering helps organizations build, orchestrate, and govern AI-powered applications using a unified platform. Discover how enterprise-grade governance, security, and contextual intelligence enable teams to scale AI innovation with confidence.
Learn the differences between API facades, orchestration, and event-driven architectures, and discover when to use each integration pattern. This guide explains the tradeoffs to help developers build scalable, flexible, and maintainable distributed systems.
Want to build smarter apps faster without becoming a hardcore coder? 🚀
In this video, Logan Brade (Developer Advocate at OutSystems) shows you how to use AI inside OutSystems AI development platform to speed up development, automate workflows, and build powerful features with minimal code.
Curious about Agent Workbench? You’re in the right place! This video gives you a quick and easy introduction: you'll learn how to create an Agent and use it in a simple chatbot setup.
In this video, we break down how MCP powers smarter, more context-aware, and truly agentic AI systems. Whether you're building intelligent assistants or autonomous workflows, MCP is the game-changer you need to understand.
Join Logan Brade as he breaks down the shift toward Agent Systems Engineering and demonstrates how the new AI Mentor is evolving. Witness firsthand how Mentor operates directly within ODC Studio, gaining full context of your application to suggest and implement real-time changes. It’s more than just a tool; it’s your persistent AI co-developer for the OutSystems ecosystem.
