Builders @ work
A directional snapshot of how builders show up in houses demos, content, and cohort milestones.
Where builders actually ship, by track
Builders are shipping more every week
Builder activity (weekly)
Builders rarely work alone
Top tracks in the community, and the pairs that keep showing up in the same cohort
Which program tracks are growing?
Fastest-growing categories this week, and the biggest by volume
Fastest growing
Biggest (by volume)
Reads per write, by job
What builders actually publish
Reads versus creates, updates and deletes - the action mix over the last 7 days
How often agents repeat work they've seen
How much of last week's work repeats something agents have handled before
How hard is the next demo?
- Hard
- 82%Multi-step work with cross-app dependencies, pagination, edge cases or error recovery.
- Medium
- 18%A moderate sequence of several connected steps.
- Easy
- 0.3%One straightforward action with a single tool.
The stacks developers build on
The stacks builders bring to house night
LangChain / LangGraph5.2%
Anthropic SDK<2%What new users start with
Which AI clients new users start with each week
Other AI clients include n8n, Make, Goose, Raycast, Dify and Lindy.
Which apps are taking off this week
The skills builders leveled up this week
What triggers a house sprint
The events kicking off a sprint a cohort deadline, a host check-in, a Content Lab drop
30M+ trigger events last week, around the clock.
The work never stops
House activity by hour (UTC)
Where agents hit rate limits
How often each app throttles the calls agents send it
How these numbers are measured
What is measured
Real agent actions running through The Foundry. One action is one request to an app, from a sample of live traffic.
How figures are published
Shares and week-over-week changes are shown as bands, not exact numbers.
What this does not establish
A high rank means agents used that app a lot, not that it's better. An app also has to have been used the week before to rank, so a one-week spike doesn't count.
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