Looking forward to that hiring. So far, just layoffs. That said, there reports that consulting firms are hiring to fuel the demand around AI adoption itself. LLMs are a breakthrough like machines were. We will create new business models around them, and perhaps drives more humans. Wrt software, LLMs can make learning very easy. But with all the AI generated code, who is the "architect"?
Definitely not unique. Thats said, given how "easy" it is to scale LLM output, compared to human output, this pattern could be messier in the LLM era? The whole tokenmaxxing motion assumed more output equals more outcomes. What do you think?
On September 8, 2025, NPM reported that several libraries were compromised in a user-side man-in-the-middle attack. This research dives into the details about how the attack works.
Data streaming emerged as a new software category. It complements traditional middleware, data warehouse, and data lakes. Apache Kafka became the de facto standard. New players enter the market because of Kafka’s success. One of those is Redpanda, a lightweight Kafka-compatible C++ implementation. This blog post explores the differences between Apache Kafka and Redpanda, when to choose which framework, and how the Kafka ecosystem, licensing, and community adoption impact a proper evaluation.
is your thesis available to read? Jepsen and these concepts for databases are certainly very different from those for kafa, as we heard from Kyle during the Jepsen testing for Redpanda. Someone needs to write about those perceptions!