QFM097: Machine Intelligence Reading List - January 2026
Source: Photo by Immo Wegmann on Unsplash
This month's Machine Intelligence Reading List covers agent architectures and developer tooling for LLM-powered systems. Will Larson examines building internal agents and code-driven vs LLM-driven workflows, while Google's research on scaling agent systems tackles multi-agent coordination. The Agentic AI Handbook rounds out the agent theme with production-ready patterns.
On the tooling side, Steve Yegge's Gas Town and Beads projects explore multi-agent programming, and Continuous-Claude-v3 tackles context management for long-running sessions. The collection also includes structured LLM outputs, research on divergent creativity in LLMs, and a reminder that today's organisations don't have an AI problem so much as an integration one.
As always, the Quantum Fax Machine Propellor Hat Key will guide your browsing. Enjoy!
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Originally published on quantumfaxmachine.com and cross-posted on Medium.
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