Walid Darwish

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The natural step after a cloud agent that you can tag in Slack is an agent that can jump onto issues proactively. This vision is something we've been talking about since early 2024 and prototyped many times. Again & again it just didn't feel good enough, so we hadn't shipped it - but now we finally have a version that just works

Before jumping into books like DDIA or Database Internals, it helps to understand the systems layer these designs are built on. A lot of the design of such data-intensive systems is based on virtual memory: page tables, page faults, mmap, the page cache, swapping, NUMA placement, TLBs, and the tradeoffs between what the OS wants and what the database wants. My latest article is a ~25,000-word mini-book on virtual memory. It starts from first principles and goes all the way down to advanced topics like NUMA placement and performance debugging with tools like perf and /proc. I also wrote it differently: as a dialogue between a user-space process and the kernel. Most treatments of virtual memory are dry and fact-heavy. I wanted this one to feel more like a story, while still being technically deep. Link below.

Running a validator on some networks requires millions of dollars in stake, before even thinking about hardware. On Algorand, the minimum is 0.1 ALGO. Low barriers matter for decentralization!

Introducing Devin Auto-Triage: Your AI first-responder with long-term memory. Devin can monitor incoming bugs, alerts, and incidents, investigate them, and come back with context, next steps, or a PR.

Introducing Devin Auto-Triage: Your AI first-responder with long-term memory. Devin can monitor incoming bugs, alerts, and incidents, investigate them, and come back with context, next steps, or a PR.