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Agentic Research Patterns

The 10:40–11:10 block. One simple running example, seven patterns, all live — the whole toolbox in half an hour, right before we put it to work driving three agents in parallel.

A coding agent out of the box is a very fast junior collaborator with no memory, no taste, and no idea what your research standards are. The difference between "neat demo" and "research instrument" is a handful of recurring patterns — ways of structuring the work so the agent's speed compounds instead of dissipating.

We demonstrate each pattern on a single running example, so you see them in context rather than as a feature list.

The seven patterns

Pattern One-line version Page
Where agents run tmux/cluster/remote — decouple the agent's lifetime from your laptop lid
Modes Plan before acting; auto-accept when the loop is safe; spend effort where it pays
Subagents Fan out independent work; keep the main context clean
Context & compaction Context is a finite resource — budget it, compact it, resume from it
Skills, MCP, plugins Teach the agent your lab's conventions once, reuse forever
Feedback loops Give the agent a goal and a measurable loop — this is the big one
Evaluation & artifacts Logs, metrics, plots, reports: make the agent show its work

The one-sentence summary

State the goal, give the agent a way to measure progress toward it, and manage its context like the scarce resource it is.

If you internalize nothing else this morning, take that.