@0xMovez: Ex-Google engineer explained AI agent loops, harness, evals in 20 minutes - better than 500$ courses. trace every run →…
Summary
An ex-Google engineer presents a 20-minute explanation of AI agent loops, harness, and evals, offering a framework for self-improvement through tracing, judging with LLM, diagnosing, fixing, and shipping.
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Cached at: 06/28/26, 10:16 PM
Ex-Google engineer explained AI agent loops, harness, evals in 20 minutes - better than 500$ courses.
trace every run → judge it with an LLM → diagnose → fix → ship.
That loop is how agents self-improve over time.
Agent loops + memory + harness + evals - thats the stack.
Watch it, then save the framework below.
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