Curated articles, resources, tips and trends from the DevOps World.
The year in web development was characterized by a return to simpler ways of building a website or web application. Partly this was a reaction against the increasing complexity of JavaScript frameworks — especially React-based frameworks.
Apple’s macOS is a powerful development platform with many great coding tools available. Some of these are built-in, such as Python3, while others are easy add-ons, like the Homebrew package manager.
CrewAI is one of the most popular Python frameworks, designed to enable intelligent multiagent collaboration — transforming the way developers approach complex AI workflows.
Once upon a time, installing applications on the Linux operating system was challenging. When I first started using Linux back in 1997, all applications had to be installed via source, which could lead to an infinite loop of dependency hell.
Sometimes a technology grabs the limelight while also creating space and resources for other things to grow in the canopy. The extra money flooding in to the LLM space has had a secondary effect of giving more breathing room for other, slightly more mundane, yet necessary, software projects.
If you need to scan the machines on your network for vulnerabilities and are looking for one of the easiest options available, Vuls is a great way to go. Vuls allows you to scan multiple operating systems using multiple methods, such as a fast scan and a deep scan.
I’ve been reviewing and using Linux distributions for decades. I’ve tried them all, from the minimal to those with more features than most users would ever need.
Developers are doing more testing, according to a recent JetBrains report on the State of Developer Ecosystems. The percentage of developers who test has gone up from 85% last year to 95% in 2024.
That friendly, ever-so-helpful AI coding assistant? You can’t trust it. Most programmers now use AI coding assistants such as GitHub Copilot, ChatGPT, and Amazon Q Developer. In fact, according to a 2024 Stack Overflow survey, 76% of respondents already use or plan to use AI code assistants.
According to tech industry prognosticators, 2024 was set to be a banner year for generative AI. Real use cases were emerging, new technology was reducing barriers to entry, and artificial general intelligence was right around the corner. But is that really how things played out?
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