1 min lesson
Readiness scorecard
Use "One honest scorecard beats another reread of the prep" to describe the practical rule.
Step 1 of 3
One honest scorecard beats another reread of the prep. Score yourself cold on the dimensions the loop actually tests, using evidence from your mock build, your recordings and your portfolio - not how you'd do on a good day.
Each dimension is 1-5. A 5 means a Cursor reviewer could see your artifact land on X or HN and trust your engineering judgment without a second look. Anything lower points at a specific section to revisit.
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Advanced table
What the Loop Weighs Hardest
Interactive diagram. Tab through its regions; each focused region shows its detail in the panel below.
The bars rank how decisive each dimension is; the table below is where you score yourself on each.
- Dimension
- Screen story
- What a 5 looks like
- A specific, personal "why Cursor" and a confident take on the AI coding-agent space, said cold
- Your score
- __
- Dimension
- AI-assisted coding judgment
- What a 5 looks like
- You narrate accept/reject/correct fluently and verify risky output instead of trusting it
- Your score
- __
- Dimension
- Surface mastery
- What a 5 looks like
- You've shipped real things on 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., CLI, 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. and Rules/AGENTS.md, not just read about them
- Your score
- __
- Dimension
- Agent internals
- What a 5 looks like
- You can explain indexing/retrieval, context windows, the agent loop and concrete failure modes
- Your score
- __
- Dimension
- Writing / demo
- What a 5 looks like
- A teaching artifact a developer would actually share, correct and free of hype
- Your score
- __
- Dimension
- Values / why-Cursor
- What a 5 looks like
- Truth-seeking, taste and genuine love of the craft are visible in your stories and choices
- Your score
- __
| Dimension | What a 5 looks like | Your score |
|---|---|---|
| Screen story | A specific, personal "why Cursor" and a confident take on the AI coding-agent space, said cold | __ |
| AI-assisted coding judgment | You narrate accept/reject/correct fluently and verify risky output instead of trusting it | __ |
| Surface mastery | You've shipped real things on 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., CLI, 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. and Rules/AGENTS.md, not just read about them | __ |
| Agent internals | You can explain indexing/retrieval, context windows, the agent loop and concrete failure modes | __ |
| Writing / demo | A teaching artifact a developer would actually share, correct and free of hype | __ |
| Values / why-Cursor | Truth-seeking, taste and genuine love of the craft are visible in your stories and choices | __ |
A 5 = would-land-on-X-and-teach-someone. Score what you can show today.