Writing
For posts from my earlier blogs and newsletter, browse the archive.
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Why Omarchy is the operating system for the agentic age
Omarchy is a new Linux distribution optimised for developing with agents. It may be the one that can legitimately challenge macOS and Windows on the desktop.
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You can't manage AI risk you haven't measured
Regulation and standards are emerging for building applications that use LLMs. Combined with the right approach to evaluation, they let you quantify your risk exposure.
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Why you need an operating model for agentic engineering
Technology teams used to standardise on frameworks and build systems. With much of this work delegated to agents, you need to standardise on how you use them. This is where an operating model is crucial.
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Building an evals framework for audits
The document-heavy nature of audits makes them well suited to using LLMs. But in regulated industries you need the right guardrails in place before you unleash them.
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How agents are making software provably secure
Agentic development is fuelling a resurgence in formal verification, enabling engineers to go beyond simply testing, to mathematically prove the robustness of software.
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From private chats to shared agents
Shared agents are changing how teams work with LLMs. But running them yourself can be a significant undertaking with security implications.
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Why non-engineers ship unmaintainable code with AI agents
Coding agents are optimised to appease the operator, not to think critically. Without an operator who understands engineering, you get working demos that fall apart when someone tries to maintain them.
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What we learned trying to give an agent our whole company
How we built text-native archives of our own operations so agents could work with them like codebases.
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