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The full archive of conversations exploring how AI is changing how we create, ship, and think about the work ahead.
Conversations in motion.
Watch, listen, build.
EP 5Context Hygiene for Coding Agents: Murder, Lobotomy, or Diary
We break down how to keep coding-agent context clean: from clearing and compaction to side sessions, Pi, sub-agents, Beads, and other durable state layers.
Beyond Root-Level Harness Engineering: A Different Environment for Every Task
Task-specific harnesses can squeeze more intelligence out of coding agents. We explore how frontend, debugging, and performance environments can narrow context, enforce constraints, and better match the work.
4 Emerging Practices in Agentic Engineering
Coding agents are becoming more capable, but getting better results increasingly depends on the systems, interfaces, and feedback loops we build around them.
Understanding Loops and Graphs in Modern Coding Agents
One prompt can become a hidden graph of sub-agents, each with its own context window and workstream. We unpack how agent harnesses grow from loops into graphs—and what that fan-out costs.
Point, Don't Describe: A Better Way to Work With AI Agents
Most AI workflows still happen in one-dimensional chat. But the best tools are moving toward higher-dimensional interactions: visual, spatial feedback loops where humans can point instead of describe.