The LLM is an ALU - Lessons from a ZX Spectrum
Every time your LLM agent calls a tool and reads the result, you're paying a tax. Not in dollars — in tokens, latency, and reliability (ok, dollars…
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Beyond grep: The case for a context-rich AI coding harness
Augment Code's Vinay Perneti talks models, harnesses, and context.
I Don't Understand Embedded. I Was Still the Only One Who Could Ship It.
The local test suite was green. Eleven of eleven. I told the agent we had test coverage, and I said commit and push. We shipped an SDK that had neve…
Harness Base Definition: The Control System Outside the Model
Harness Base Definition: The Control System Outside the Model Previously, we split Agent into several minimal parts: Model: judge the next step Loop…
System Boundaries: The Difference Between ChatBot, Workflow, Agent, and Harness
System Boundaries: The Difference Between ChatBot, Workflow, Agent, and Harness When people first build Agent systems, they often naturally read the…
Agent Base Definition: Why It Is Not a Prompt
Agent Base Definition: Why It Is Not a Prompt When many people first start building Agents, the most natural reaction is: if we make the system prom…
Building a Local AI SOC Analyst on an M1 MacBook Pro
How I solved a real SOC operations problem for Datadog, AWS, Cloudflare, Sysdig, PagerDuty with an AI runner, a local AI harness with a tricky model…
Securing AI Agents in a Bank: From Daily ChatGPT Use to a Production-Ready Secure Harness
AI agents are moving from personal productivity tools into operational workflows. That shift changes the security model. If employees use ChatGPT, C…
I Was Calling It 'Setup' for Six Months. arXiv Has a Better Word: Harness
I had a folder on my laptop called agent-setup/ . Inside: a CLAUDE.md, a couple of YAML configs, three skills, and a bash script wiring them togethe…