1 min lesson
Practice Cursor Foundry with the Agent SDK
Practice Cursor Foundry with the Agent SDK on one real case. Check the result before moving on.
Step 1 of 3
Work through one real case until you can design a staged agent pipeline with clean handoffs between stages. Check whether each stage has one job and a defined handoff to the next. Confirm a run produces an inspectable artifact at each stage, not one opaque result. Make sure you can rerun a single stage without restarting the whole line. Avoid cramming plan, build and review into one over-loaded agent. Keep the evidence with the result.
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Full explanation
Agent SDK, four stages
Foundry pipeline, plan, design, build and review with clean handoffs
Agent SDK, four stages
SayOne agent per task stopped scaling for a recurring job: turn a feature request into a merged change. I chain four specialised agents into an assembly line with a clean handoff between stages, the pattern behind Cursor FoundryA prototype software factory that chains specialised agents (plan, design, build, review) with clean handoffs, built on the Agent SDK. Press Enter for the full definition..
DoStage one is a plan agent. Its only output is a written spec artifact: the files to touch, the interfaces, the acceptance checks. It writes no code.
SeeThe handoff down the line is that spec file, not the plan agent's whole transcript.
DoStage two is a design agent. It turns the spec into an interface and constraint artifact. Stage three is a build agent that consumes only the spec and design artifacts and implements against them.
SeeEach handoff is a clean artifact rather than the previous agent's transcript. The build agent starts from tight contracts instead of a long conversation.
DoStage four is a review agent that reads the resulting diff against the spec's acceptance checks and flags anything that misses.
SeeEach stage left an inspectable artifact, such as a spec, diff or review. You can reread or rerun one stage without restarting the whole line.
SayWrap the line in your own UI when you want to watch it, for example a Kanban board over the cloud agents, and reuse the same pattern for non-coding jobs, not just code.
SeeEach stage has one job and a defined handoff. The run produces an artifact at every stage instead of one opaque result, and any single stage can be rerun on its own.