AI-assisted notes from my liked-tweets feed, organized around agent loops, cloud agent infrastructure, skill security, memory, and runtime context. Treat this as a source of information, not as a finished essay.
Practical takeaways
Put validation inside the agent loop. Backpressure forces the agent to fix code before a human sees it. The system runs typechecks, lint, tests, builds, and browser checks, then pushes failures straight back to the agent. [1] [2]
Dynamic workflows are disposable verification harnesses. Claude Code can write a temporary script to extract every technical claim from a draft and test it against the repo before publishing. [3] [4]
Cloud agents are infrastructure products. The hard parts are pod lifecycles, stream rewinds, state isolation, and hiding stale output during retries. [5] [6]
