In an article titled The Worst Programmer I Know, Dan North, the creator of behavior-driven development, writes about a nearly fired developer he saved from the unemployment line. This developer consistently delivered zero story points, even though delivered story points was the primary metric for developer productivity at their (unnamed) software consultancy.
Stop me if you’ve heard this one before: you just pushed and deployed your latest change to production, and it’s rolling out to your Kubernetes cluster. You sip your coffee as you wrap up some documentation when a ping in the ops channel catches your eye—a sales engineer is complaining that the demo environment is slow. Probably nothing to worry about, not like your changes had anything to do with that… but, minutes later, more alerts start to fire off.
An Internal Developer Portal (IDP) is the engineering system of record for tracking, improving, and building high-quality software. From services and APIs to Kubernetes clusters and data pipelines—IDPs abstract away the complexities of ensuring software security, maturity, production readiness, and more—all using data from your existing tools.
Generative artificial intelligence (AI) is a form of AI that can create new, original content such as text, code, images, video, and even music. Generative AI-powered tools like GitHub’s Copilot and OpenAI’s ChatGPT have the potential to revolutionize the way you develop software, enabling you to be more efficient and creative. Used in the right way, generative AI can streamline workflows, accelerate development cycles, and unlock the potential for innovation.
Software production has become exponentially more complex over the last few years as containerization and microservice architectures have exploded. These design decisions are rooted in aspirations of scalability and speed, but left unchecked, have devolved into data model mayhem, development silos, and environment inconsistencies.
