https://muhammadraza.me/feed.xml

An agent harness is the software wrapped around a language model that turns it into an agent: the loop that calls the model repeatedly, the tools it can execute, the context management that decides what the model sees, and the guardrails that decide what…

On July 23, 2026, I opened an empty repository and started building Minute, a private meeting notetaker for macOS.

You push a new image, update an ECS service, and the console says Deployment in progress.

Every few months I have the same conversation.

Every few weeks someone downloads the GGUF build and the MLX build of the same model, runs both, screenshots the tokens-per-second counter, and posts it as proof that one format wins.

Every coding agent session starts from zero.

I have too many issues and not enough time.

I’ve written before about how AI agents are just CI pipelines with an LLM plugged in.

Here’s something that frustrates me about coding agents.

In this post, I’ll show you how to think about AI agents through the infrastructure patterns you already use.