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Choose parts and draw schematics
Pick components that meet the spec and draw the circuit.
For Embedded or hardware engineer · Knowledge pack and an independent checker
What are you deciding?
One line is enough. Step 1 asks the rest in your AI app, and nothing is done until you approve the brief it writes.
In the case folder's materials/: The options and anything you already know about them.
The 4 steps
- 01
Agree the criteria
Then you approve, before the next step starts.
- 02
Lay out the options
- 03
Score independently
Then you approve, before the next step starts.
- 04
Recommend
How it does this well
Criteria first, independent scorers, sensitivity in code. Not found and out of scope are valid answers here: it says so instead of guessing.
- How the field does this well
- Write the check first: a failing test, a typecheck or a command that comes back pass or fail.
- Work one unit at a time and show the command that ran and its output as evidence.
- Have a reader who did not write the change review it against the written spec, and skip style.
- Keep state in files: a list of checks whose status may only flip to passing, and a progress note.
- Ground it first
Ask for, or look in materials/ for: the repository or files to change, how its tests run, and the coding standards. If there is none, say plainly that the result rests on general defaults, and name them.
- What stays with the person
Scoping ambiguous work, architecture choices, and the final merge or release. Prepare these; never decide them.
- The check that makes it trustworthy
A failing check written first, a passing run shown as output, and an independent review of the change against the spec.
- The person's own data
If the person has connected GitHub, Linear, Jira + Confluence, Postgres, read their data through that connector instead of asking for exports, and say which source each number or fact came from. Without one, work from materials/.
The agents
scorer- Scores every option in a Cheatcode decision on every criterion, independently, with evidence.
red-team- Makes the strongest case against the leading option in a Cheatcode decision.
Where things stay
- On your computer
- Your files in materials/, every result in outputs/, the work itself. It runs in your AI app, on the plan you already pay for.
- With Cheatcode
- The steps, the gates and how far each case has come, so a case survives closing the app. See your cases.