Use AI tools like Amazon Q Developer to generate documentation for undocumented OutSystems apps. Start by extracting the source code, then prompt AI for app overviews, technical docs, user stories, and maintenance notes. Regular AI-powered updates keep docs fresh. Tools like ChatGPT, Copilot, and Gemini also work. This turns mystery code into clear, maintainable systems and builds a culture of documentation.

Discover how n8n, the open-source automation powerhouse, can elevate OutSystems apps by seamlessly connecting APIs, orchestrating AI, and managing complex workflows. From enriching a bookshelf app with AI-generated summaries to embedding a document-aware RAG chatbot, I explore how these platforms combine to build smarter, scalable solutions — all without burdening the core app with extra complexity or code.

An Engagement Manager at Accelerated Focus shares lessons from a state government AI project involving the migration and enrichment of 20,000 legacy PDFs using LLMs and vector indexing. The AI powered both data migration and real-time search. Key takeaways include evolving scope, the importance of broad data sampling, UI alignment, managing AI accuracy expectations, and planning for long-term AI maintenance and human-in-loop workflows.

Unlock the power of OutSystems ODC REST APIs to automate tasks, integrate systems, and build dynamic, scalable applications effortlessly.

Discover how I tackled dynamic input validation in OutSystems using JavaScript to handle multiple income entries seamlessly.