An API allows communication between different systems, and like any other software, it requires clear instructions so developers can use them effectively. Clear and comprehensive API documentation helps developers understand how to use APIs in their applications. API documentation tools simplify creating detailed reference docs, tutorials, and API documentation. These tools assist in documenting REST, SOAP, or GraphQL APIs effectively. They produce comprehensive API docs that support developers.

According to the World Health Organization (WHO), Up to 50% of medical errors in primary care stem from administrative issues. There is a projected shortfall of 10 million health workers by 2030. Given the statistics highlighting device errors and a shortage of maintenance professionals exacerbate healthcare challenges, Generative AI in medical devices offers diversified solutions.

Spring Boot is an open source Java framework designed to facilitate the creation of stand-alone, production-grade Spring applications. Whether you’re developing a RESTful API, a microservice, or a batch task, Spring Boot simplifies the process. While platforms like Microsoft Azure and Amazon Web Services (AWS) offer cloud deployment options for Spring Boot applications, Choreo provides specialized features and tools tailored specifically for Spring Boot, streamlining deployment and management.

In the last article, we gave a general introduction to using Swift for backend development. We discussed its advantages: its robustness, stability and, above all, its simplicity. Now we’re going to drill a little deeper, and provide some best practices that will help you in your day-to-day work. Our work today will focus on Vapor, an open-source web framework that provides a robust foundation for websites, APIs and Cloud projects.

Here’s a look at how we scored and our key takeaways from the report We're thrilled to be recognized as a Leader in The Forrester WaveTM: API Management Software, Q3 2024! We believe this recognition validates our commitment to empowering businesses with the tools they need to unlock the full potential of their APIs.

Tips for writing natural language prompts to generate SQL and charts using BigQuery data canvas’ NL2SQL and NL2Chart capabilities.

Learn about BigQuery data canvas in this technical walkthrough with a real-world example based on the public github_repos dataset.

Building APIs is a fact of life for most modern developers. When we aren’t building them, we integrate them within our applications. Regardless of how you look at it, modern businesses are built on top of the foundation that APIs have built. They’re the bridges that allow different software systems to talk, share data, and work together seamlessly. But with great power comes great responsibility.

Data architecture is a structured framework for data assets and outlines how data flows through its IT systems. It provides a foundation for managing data, detailing how it is collected, integrated, transformed, stored, and distributed across various platforms. It also establishes standards and guidelines for data handling, creating a reliable and scalable environment that supports data-driven activities.

Debugging is a valuable skill for any software engineer to have. Unfortunately, most software engineers are not trained in it. And that's not just specific to developers going through boot camps; even in universities, we are not often taught and trained to use a debugger. My teachers and mentors were more interested in getting me to write programs rather than debugging them. If we are fortunate, debugging comes at the end of the semester, in a short, last session.