1 min lesson
Understand Cursor harness
Decide when Cursor harness fits. Name the lesson detail that supports your choice before you act.
Step 1 of 2
By the end, you can name what the harness adds over a raw API call and say why the same model runs better and cheaper through it.
Cursor's harness adds context selection, caching, retries, compaction and per-model tuning over a raw model call. Dynamic context discovery selects the relevant files, snippets and tool results instead of loading the whole repository. These layers shape the request before it reaches the model, so the model name is not the whole system.
Where this fits
- Entry point
- Any agent run; a comparison against a raw API call
- Source
- Cursor field-engineering sessions on the harness, token efficiency and dynamic context discoveryThe agent pulling only the relevant parts of files, tools and MCP servers into context as needed, instead of loading everything up front. Press Enter for the full definition.
Use these sources to check the current product behavior.