Every major era of software development has produced a defining platform company. The one that quietly became the infrastructure everyone depends on. GitHub didn’t win because git was…
I’ve spent most of my life implementing systems at scale, watching engineering teams transform how they work (pre- and post-AI), and having thousands of conversations about what it…
For the past decade, we’ve watched deep learning transform everything from how we search the web to how we write code. Neural networks have become remarkably good at…
A few years ago, I wrote about the creeping danger of debt. Debt being the slow accumulation of manual processes, fragile deployments, and tribal knowledge that eventually drowns…
Leaders must rethink beyond adding ML models. Transition to AI-native architectures and embrace probabilistic systems for robust outcomes in this new era of software.
AI tools can fundamentally transform the way engineering managers lead teams by not only speed and convenience but deeper insights and impact. By embracing AI-driven solutions in code…
As the shift from Observability 1.0 to 2.0 unfolds, several key factors are driving this transformation, such as the increasing complexity of software systems and the need for…
Online ordering, on-demand delivery, audience targeting, AI-assistants and digital transactions are all e-commerce capabilities that we take for granted, but without this kind of tech, today’s growing legal…
The long-term overhead of not automating your operational problems will choke the growth of your product features. Technical debt is well understood to slow down software product development,…