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October 27, 2026
Why the Runtime Is the Control Plane for Agentic AI
Every enterprise AI architecture review ends up at the same question: when an agent takes an action, who can vouch for it? Most answers start with a gateway. Put a …
October 27, 2026
Our AI bill is on track to shrink 42% in one month. Here’s how we did it.
Stacklok is an AI-maximalist organization. We want engineers running more agents on harder problems, and understanding our spending helps us put more of that investment toward useful work. We used …
October 26, 2026
Why AI governance built for developers breaks down for everyone else
A finance analyst opens the AI assistant she uses every morning to pull numbers out of a connected reporting tool. Instead of data, she gets an error. Nothing in the …
October 20, 2026
The most common questions about agent harnesses, explained. October 2026
Six months ago almost nobody said “agent harness” out loud. Now the term shows up in LangChain’s docs, Microsoft’s Agent Framework, OpenAI’s engineering blog, and a steady stream of Reddit …
October 19, 2026
Own your intelligence, own your tools
An agent has three parts you can control: the model, the harness that runs the model in a loop, and the context the model sees. Own all three and you …
October 13, 2026
The model is easy to swap. The agent layer isn’t
Here’s what 520 enterprise AI leaders told us about getting locked into frontier labs TL;DR. The technical leaders responsible for AI adoption say vendor lock-in worries them, and many have …