Google just released free 2-hour course on full agent engineering: 1 prompt → agent teams → loops → graphs from 0% to 100%:
10% → 38:46 - build your first agent
30% → 54:46 - connect MCP tools
55% → 1:12:43 - Loop engineering: 4 ways to run agents
70% → 1:20:57 - Graph engineering
100% → 2:22:31 - the full system that works while you sleep
most people build one agent and stop there - this is the full path to a system that runs without you from scratch
watch it today - then read the full graph engineering playbook below ↓
Software for Agents
@aaron_epstein
The next trillion users on the internet won't be people. They'll be AI agents, and they're already doing real work on top of software that was designed for humans clicking buttons.
Every major category of software needs to be rebuilt for agents as first-class citizens, and that won't come from incumbents.
Inference Chips for Agent Workflows
@sdianahu
Most AI chips are designed for "prompt in, response out." Agents don't work that way. They loop, branch, and hold context across dozens of steps, and current GPUs hit 30–40% utilization as a result.
That gap is where purpose-built silicon wins.