Netflix recommends Stranger Things to you because it knows you like watching sci-fi thrillers. Tinder lets you swipe right into your next date because it’s learned your interests and partner preferences. Amazon keeps showing you Fitbit because you’ve spent a considerable amount of time browsing through the fitness and wellness category.

Computer programs that talk to people aren’t new. The natural language processing program ELIZA , which played the role of a digital psychologist, first debuted way back in 1966. This early chatbot was capable of “listening” to you as you shared your life story, delivering mostly coherent, yet vague canned responses to whatever you typed in.

With the number of cyberattacks growing with each passing day, the need for increasingly sophisticated security systems has never been higher. Just when these ceaseless attacks had you at your wit’s end, machine learning may just restore some sanity to the cybersecurity scene.

Here at Skylight, we love all things open source. Many of us on the Skylight team are open source contributors ourselves. From our own experiences, we know that many people are excited about the idea of contributing to their favorite open source apps, but they don’t always necessarily know where to start.

Uptime is great, but knowing that the APIs you and your customers rely on are functioning and performing well is a great burden off your shoulders. Our new Multi-step API Monitor gives you all the control you need to test for uptime, performance, and function of your API. Using our new Multi-step API Monitor, you can test everything from redirects and authentication, to sequenced API calls that require the reuse of variables pulled from the previous API responses.