I run my business on four Claude Code agents: Titus, Pheme, Davinci and Metis. They write my newsletter, The AIgent (about 9k subscribers), every day through a drafting and proofreading engine that Pheme checks before scheduling. They also build AI courses, run a pipeline that turns the day's featured repo into a talking-head video of my avatar for Instagram, set up ad deals, and run Meta ads and email funnels with me. Nothing closes until I sign off. Metis posts jobs on a job board and the othe
Hi HN. Weir is for one problem: credentials crossing the boundaries of your AI agent. For agents you build, Weir plants fake credentials where real ones would live, runs the agent's normal flows, and checks what comes out: telemetry, logs, console output, model requests, and requests to other services. It looks for those exact values, including common encoded forms, and reports where they went without printing the credential. pip install weir-scan weir canary judge --sample That sample shows a p
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This is hardly a greenfield area. There are tons of agent-to-agent communication apps. But, at least to my taste, a lot of them are too complicated or too opinionated. If we learned anything from the HuggingFace incident, it's that modern AI agents don't need a lot of help communicating. They are smart and creative and figure it out. So...with that in mind, I (meaning I + claude and friends) built kashkeshet, or kkt. It's a small, Rust-based MCP server that gives agents a few simple chat primiti
Hi HN, I'm Alexander. Yes, this is another agent harness. Here is why I built one anyway. I was engineer #2 at Browser Use, where I built our agent harness and the evals behind it, including BU Bench, which became a default benchmark for browser agents. I left in September to build Mainplane. The problem: local agents die with your laptop, and cloud agents can't reach your work. Many cloud platforms ask you to "select a repository", but my work is not that simple. I work across a deskt