Featured
AI Doesn’t Reduce Work—It Intensifies It – With the daily AI usage to work, this is something that I’m feeling too: The amount of work that you’re doing is intensified and at the end of the day you’re exhausted due to constant context-switch between multiple projects.
How AI assistance impacts the formation of coding skills – Amazing study by Anthropic about how AI impact the formation of coding skills. We need to start talking about how AI will shape the future software engineers.
Beyond block or allow: How pay-per-crawl is reshaping public data monetization – With the rise of AI, we started to complain about how websites that share free information like StackOverflow, Wikpedia and personal blogs will keep existing. Now with this new concept of pay-per-crawl a light at the end of the tunnel appears.
I miss thinking hard. – While AI can satisfy our internal builder, sometimes our internal thinker can miss think hard about challenging tasks as today, most of the times you’ll use AI to solve it.
Be a Luddite; Embrace AI – You don’t need to be against AI, you can be against how AI is being introduced. Embrace AI.
MISC
My AI Adoption Journey – Everyone have its own AI adoption journey, this post seems similar to mine, its nice to see how people are evolving into AI on daily usage over the past years.
Building a C compiler with a team of parallel Claudes – Along with the release of Opus 4.6, Claude team published this post explaining how they were able to have a C compiler capable of compile Linux kernel using only Opus agents. The final result if matter of opinion, but the post give nice insights about how to manage fleets of agents on long tasks.
What is OTLP and How It Works Behind the Scenes – OTLP and the OTEL project is one of the most talked topics right now, this amazing post explains some core concepts about it.
The Anthropic Hive Mind – Anthropic is the company that everybody is talking about at the moment, they’re living their golden era and this post bring some interesting insights not only about Anthropic, but about companies organizations and how new companies on AI era will behave.
The Green Tea Garbage Collector – Go 1.26 was released this month and one of the best things about it is the Green Tea Garbage Collector, that has the potential to decrease a lot the time spent on GC of your application (depending of the application). This post from the Go team, explains the old GC (mark and sweep) and how the new algorithm is better.
How we reduced the size of our Agent Go binaries by up to 77% – A good deep technical post, this one explains how Datadog managed to reduce it Go binary size by up to 77%, very good post to understand how Go compiler works when dealing with dependencies.
O. Valadares' Blog 