Musings on AI, software, technology, and people. Catalan in The Valley.
This is the third—and likely final—post in a series I’ve been writing over the past two and a half years on using AI for software development. The journey began with my early experiences of how LLMs would change development, and continued 18 months later when I revisited those ideas during an AI-assisted codebase refactor.
(This blog post, as with most of my recent ones, is written with AI assistance and augmentation. In this case, “We” in the text refers to myself and my local OpenClaw agent, which has been my primary co-developer throughout this project.)
If you have been following my journey for a while, you’re probably aware of my pragmatic approach to AI capabilities and my skepticism towards the surrounding hype. Not too long ago, during my time at Google, I found myself sitting next to someone at an event, and the conversation inevitably turned to AI. I tend to be pretty candid about my skepticism regarding Artificial General Intelligence…
This blog post is a detailed summary of my recent keynote at ACM RecSys 2025 in Prague. You can watch the full video here.
It has been quite a while since I last shared a reading list on this blog. In the fast-paced world of technology, it’s easy to get caught up in the stream of papers and newsletters, but I’ve always found that books provide the necessary depth and historical context to truly understand where we are heading. As I sat down to synthesize my recent readings, I realized that the core themes converged…
A year of reasoning, agents, and compressed innovation cycles
(This blog post, as most of my recent ones, is written with AI assistance and augmentation. First time using nano banana for the infographics!)
Eighteen months ago, I wrote a post on how Large Language Models would change software development, sharing my early experiences with the technology. You can read those initial thoughts here. A lot of things have happened since then, and my early observations are by now way outdated. That is why I decided to spend some time during a recent break to work on my side project and see how much better…
We seem to be living through a pivotal moment, often dubbed the “Age of AI”. It feels like barely a day goes by without news of another AI breakthrough that promises to revolutionize how we live, work, and perhaps even think. This rapid advancement naturally leads to big questions: What does it mean to be human when machines become increasingly intelligent? Is intelligence really what defines us?
2024 has been an intense year for AI. While some argue that we haven’t made much progress, I beg to differ. It is true that many of the research advances from 2023 have still not made it to mainstream applications. But, that doesn’t mean that research is not making progress all around!