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.

When you create a Static Entity in OutSystems the default configuration for the Id attribute has the Is AutoNumber property set to Yes. ...

The advantages of developing software using an MVP approach Developing software rapidly or iteratively rather than following a...