I recommend this article "45 Thoughts About Agents" written by Google Docs co-founder Steve Newman, which is very information-dense.

Some memorable points:
Agents are the fastest-evolving layer in the AI stack — models are updated every few months, and Claude Code can release multiple versions in a single day;
But even faster than the evolution of agents is the way users work.
Naively handing tasks over to agents may actually decrease productivity. The key is enabling agents to self-validate — to run tests and prove they are "doing the right thing" independently, rather than you checking them repeatedly.
The impact of AI is the product of 8 factors (pre-training, post-training, inference compute, agent scaffolding, application design, user capability, workflow restructuring, adoption rate), all advancing simultaneously.
This round of transformation has only completed 1/3.
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