Microsoft is extending Dataverse into coding-agent marketplaces while expanding its MCP tools, certification program and governance controls.

This guide explores the process of validating and cleaning JSON data, ensuring proper structure, data types, and adherence to specified schemas for robust applications.

Once configured, you (or your AI agent) can process documents through natural language: You: "Merge report-q1.pdf and report-q2.pdf into a single document" AI: "Done! I've merged both reports into ...

This project is deprecated and no longer maintained. It was built as a learning exercise to explore AI-assisted development and the Model Context Protocol (MCP). No further updates, bug fixes, or pull ...

Iron Software builds trusted .NET libraries for document automation. In today’s digital landscape, converting HTML to PDF is a vital capability for many applications. Whether generating invoices, ...

From data collection to ready-made datasets, Bright Data allows you to retrieve the data that matters. AI agents are software systems that harness the power of artificial intelligence to accomplish ...

Find out what makes Python a versatile powerhouse for modern software development—from data science to machine learning, systems automation, web and API development, and more. It may seem odd to ...