Curated articles, resources, tips and trends from the DevOps World.
APIs have long been the backbone of modern software systems, architectures, and businesses. They now dominate the web, accounting for 71% of all internet traffic.
In our previous article on AI agents, we explored how to create a basic AI agent with a persona using system prompts. Now, we’ll delve into three crucial enhancements that make our agents more sophisticated and effective: instructions, tasks, and conversation memory.
Is there a better development model than open source software? One man thinks so — and ironically, it’s the same man who wrote the original open source definition back in 1997.
Not even five years ago, if someone said to me that Fedora was a Linux distribution that anyone could use, I would have smirked and pointed them toward Ubuntu, elementary OS, Zorin OS, or Linux Mint.
In my years of experience as a software engineer, I have worked on various projects. In most cases, I relied on automated testing. I adhered to the testing pyramid, where unit and integration tests formed the majority, requiring only a few end-to-end and user acceptance tests (UAT).
The open source and CNCF incubating project Backstage has become a central piece of many companies’ platform engineering toolkits. And for good reasons.
Angular version 19 will release next week on Tuesday, Nov. 19, at 9 a.m. Pacific time. There are in-person and virtual launch watch parties for the event, although all of the watch parties are all outside the U.S. thus far, with several happening in France.
While the title Does current AI represent a dead end? is clearly made to encourage debate, there is a case within this academic article that is particularly pertinent to software developers: “Current AI systems have no internal structure that relates meaningfully to their functionality.
The Rust Foundation this week released a problem statement addressing the challenges in C++ and Rust interoperability. The problem statement is a key deliverable of the Rust Foundation’s Interop Initiative, which was launched last February with a $1M contribution from Google.
SALT LAKE CITY — SUSE now offers what it describes as a comprehensive observability platform, designed to cover all environments — whether on AWS, Azure, Google Cloud, on premises or in other environments — that run on Rancher for Kubernetes.
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