1 min lesson
Turn weaknesses into the study plan
Recall the main items in "Turn weaknesses into the study plan", then connect each one to the work.
Step 1 of 2
The automation the JD literally asks for
The role asks you to build creative ways to automate your own work with agents and showcase them. One personal automation, shipped and written up, is the single most impactful thing you can carry into the loop.
- Pick a chore you genuinely repeat, then point an agent at it via the SDK or CLI.
- Write it up the way you'd publish it: trigger, harness config, one failure, the fix.
- Make it reproducible, so a developer reading along could run it. That reproducibility is the DX signal.
Any pillar you couldn't honestly check becomes this week's work. Haven't built an MCPModel Context Protocol. A standard that lets an AI agent pull in context from outside the repo, like Jira tickets or internal docs. Press Enter for the full definition. server? Build a trivial one and break it on purpose. Never ran a Cloud Agent? Hand it a real upgrade and watch where it struggles. The gaps you close by shipping are the stories you'll tell in the loop and lived friction beats a memorized feature tour every time.
Don't hide a gap; convert it into evidence of how you learn. "I hadn't used the Agent SDKA programmatic interface for running Cursor agents from your own scripts, services or CI, locally or in the cloud. Press Enter for the full definition. in production, so last week I wired it into my changelog flow, hit a context-window limit and scoped the prompt to fix it" tells the room you close gaps by shipping. That's the truth-seeking, bias-to-ship signal Cursor selects for.
Learn more
Optional practice