Software Engineering

Full disclosure, I used to be an AI coding agent skeptic: trying out LLMs only helped me figure out bugs, but when using agents to assist while coding I would be underwhelmed by the results and overwhelmed by the amount of code produced and ultimately uncomfortable going further until I

And it's here to stay. Let's for a moment go down memory lane. Before "software ate the world", before software platforms took over? How would people access services? Either via word of mouth or a phone book, you would call and get someone to

While microservices are motivated by domain driven design, which defines bounded business domains and ultimately manifests itself via loosely coupled services that can be independently updated, nanoservices are a response to the needs of machine learning engineering teams to manage an increasing number of models that act as a single

As someone that has been working in this field for about 12 years, it's very odd to see how the term machine learning has fallen out of fashion for the flashier AI. Though AI has always been quite popular, I do remember a distinctive period before the emergence