Systems | Development | Analytics | API | Testing

Examples of AI in Software Development

As artificial intelligence (AI) has shifted from a movie concept to a real-world phenomenon, it’s become clear that AI will change how we do business. Smart factories, connected shop floors, and supply chain automation are already commonplace, yet manufacturing and shipping are not the only sectors adopting AI and machine learning (ML). AI is also revolutionizing software development in surprising ways.

Top 10 iOS Libraries of 2023: Stay Ahead of the Game

This is the most fertile time for app development since the launch of the App Store 15 years ago. Our industry is in the grip of several simultaneous revolutions, each of them bending, flexing and moulding to the others. 5G promises to make our apps 10 times faster; wearable technology lets them wrap themselves around our bodies; artificial intelligence enables them to learn from us and get smarter every day. But this torrent of innovation brings challenges, too.

Building a REST API with AWS Gateway and Python

AWS Gateway is a powerful tool for building APIs that scale to meet the demands of modern web and mobile applications. With AWS Gateway, you can create RESTful APIs that expose your data and business logic to developers who can then build rich, interactive applications that consume your API. REST API is an industry standard for building scalable, distributed web applications. With AWS Gateway, you can easily build a REST API that supports both GET and POST methods, as well as complex query parameters.

Building a REST API with AWS Gateway and NodeJS

AWS Gateway is a powerful tool for building APIs that scale to meet the demands of modern web and mobile applications. With AWS Gateway, you can create RESTful APIs that expose your data and business logic to developers who can then build rich, interactive applications that consume your API. REST API is an industry standard for building scalable, distributed web applications. With AWS Gateway, you can easily build a REST API that supports both GET and POST methods, as well as complex query parameters.

Tiny Flutter: The future of Dart & Flutter on small devices?

Dart recently added experimental support for the new RISC-V CPU architecture and the first boards with these new chips are now starting to be available. One of these is the Sipeed Lichee D1, a RaspberryPi type device that is able to run Linux and Dart. At the same time, tiny but very cheap OLED screens are showing up in all sorts of devices, from soldering irons to high end music synthesizers. But what does it mean for Flutter and its mission "Beautiful apps for every screen" when the screen is 1 inch with a resolution of 128x64? Is that even possible? In this talk I'll cover how to get Dart running on one of these boards, how to use these tiny screens from Dart and what parts of Flutter can help with using screens this small.