An AI agent pursues a goal by iteratively taking actions, evaluating progress, and deciding next steps. Useful agents must be reliable, adaptive, and accurate.

Dave Winer, OG blogger, podcaster, developed first apps in many categories. Old enough to know better. It's even worse than it appears.

If you own a computer that’s not mobile, it’s almost certain that it will receive its power in some form from a mains wall outlet. Whether it’s 230 V at 50 Hz or 120 V at 60 Hz, w…

Why deterministic data infrastructure is replacing visual persuasion in ecommerce

The one tool your backend stack has been missing

To enable fast builds and efficient usage of disk space, Docker introduced the image layer model. This article is an in-depth explanation on how the layer

KServe - A Kubernetes-native platform for serving machine learning models with standardized protocols for both predictive and generative AI. Scale to zero, GPU acceleration, and multi-framework support.

Evaluating the architecture of a system can be a very complicated process, with a lot of different possibilities for tools and techniques. In this video, we describe a mental model for evaluating architecture that helps us make sense and make the right decisions.

Longtime Linux developer David Woodhouse sent out a patch series today to 'deprecate legacy IP' support within the Linux kernel

More than half of breaches occur after fixes are available, revealing an execution gap as delayed patching turns known vulnerabilities into ongoing enterprise risk.

The Simple Text Oriented Messaging Protocol

Syncing reading progress across devices sounds simple until you try it. Discovery, sync, and conflict resolution — with and without a cloud.

I went to the movies the other day, and while standing in line, I caught myself mentally designing the system the ticket controller was…

If someone asked me to set up a team in charge of software documentation, I would not hire for specific roles or cookie-cut job descriptions. Professions tied to knowledge buckets are bound to shrink or disappear. Instead, I would hire people that could move freely between four quadrants, each defined by the proximity to a focus pole and its skills. The poles in this team setup would be the following: Product Vision, Knowledge Design, Engineering Depth, and Delivery Strategy.

Valentin Geffrier, Tanguy Cornuau

When it fails to do your thinking for you

Durable agent-to-agent messaging using a filesystem: inspectable, remote, replayable, and SQL-queryable with db9 fs9.

Intra-domain delegation enables an agent to grant constrained authority to subagents without expanding the system’s trust boundary. In the OpenClaw + Cedar demo, delegation is modeled as data and enforced by a stable policy set, preserving policy integrity while allowing dynamic scoping of power.

If you have built APIs, then by now, you are already familiar with the practices of how we typically build APIs:

The Sequel Nobody Asked For (But AI Agents Demanded)

For the next paper in my Paper Implementation series, I picked the Dynamo 2007 paper by Amazon. I had a really good time with this one. Large scale distributed systems always fascinate me , how do you handle that much data, across that many machines, and keep it working when things inevitably break? The Dynamo paper has a clear answer, and it keeps repeating it in case you miss it: eventual consistency.