Sometimes innovation requires ideas unconstrained by traditional structures and removed from day-to-day responsibilities. It was in this spirit that PagerDuty’s People HackWeek–a friendly competition to explore how generative AI might impact the future of HR–was born.

Imagine being on a relaxing vacation, the waves lapping at your feet, a drink in hand, and then you hear a gentle ping from your phone. Uh oh… what now? This alert is not an annoying email or a distracting message, but a digital fire alarm informing you that your website is down. Vacation time is over—time to find your laptop and some Wi-Fi.

The categories in SIGNL4 are a powerful tool to make it clear to users at first glance what a particular alert is about. For example, colors, icons, location and predefined texts can be configured here. Categories can be created and edited manually.

The C printf function is a staple of embedded development. It’s a simple way to get logs or debug statements off the system and into a terminal on the host. This article explores the various ways to get printf on Cortex-M microcontrollers.

There’s no doubt that generative AI and the productivity it promises have captured the world’s imagination. We’ve talked about applying AI to just about everything—from those soul-crushing tasks we never want to do again to dreams within our grasp for the first time. Goldman Sachs estimates that generative AI could add nearly $7 trillion to global gross domestic product (GDP) in the next decade.

Our industry is in the early days of an explosion in software using LLMs, as well as (separately, but relatedly) a revolution in how engineers write and run code, thanks to generative AI. Many software engineers are encountering LLMs for the very first time, while many ML engineers are being exposed directly to production systems for the very first time.