Tearing down code siloes is about more than just creating an efficient development process; it extends its impact to cultivate a culture of continuous learning and collaboration.

Maybe if ChatGPT and LLMs are “bullsh*t text generators”, that’s exactly why software developers find them so darn useful.

GenAI can lead to massive piles of technical debt.

Let’s discuss how AI is coming for one of Silicon Valley’s biggest cash cows: Enterprise software.

The modern IDE is still by far the best programming productivity tool in existence.

The Enterprise uses MFA.

Anyone who thinks ChatGPT is about to replace Google Search hasn’t actually tried to use ChatGPT to replace Google Search.

In which I try to replace myself with AI.

Asking if customers should pay for security features is the wrong question, and instead we should ask if software vendors should pay for not providing security features.

Let’s explore a possible cloud repatriation motivation that I haven’t a lot of discussion about — inflation.

There are real challenges when you go to adopt a microservices architecture. A developer platform goes a long way to mitigating them.

In today's digital world where cybersecurity threats are prevalent, it has become crucial for software engineers to have a basic understanding of hacking techniques.

Companies need to focus on their core strategic lines of business, particularly in a down cycle.

Just because you can use an open source project doesn’t necessarily mean you should.

Everyone can be a programmer now. Where have we heard that before? And is it more or less true than it ever has been thanks to AI? Let’s take a quick historical tour.

Test automation is certainly an important part of the modern software development process, but we should make sure we understand why we’re doing it.

Reliability is a trade-off