No Trace, No Grade: A Bootcamp Lab on Agent Flight Recorders
说明与用途
在编码训练营中,学生需要提交飞行记录日志和 git diff,以实现 AI 代理工作的可重现评估。
问题
Students cannot reliably demonstrate what their AI agent did during a lab, making grading difficult and subjective.
结果
The lab enforces reproducible, machine‑readable evidence of agent activity, improving grading reliability and peer review.
工作流
- Set up a unique workspace directory and initialize a Node project
- Create the broken production file, tests, and recorder script
- Run the tests once to confirm failure
- Use the recorder wrapper to execute the test suite while logging all actions
- Review the generated session.jsonl and git diff to ensure completeness
- Submit the log and diff as the lab deliverable
证据
Not a prompt dump. Not a PNG. A JSONL log plus a git diff that a classmate can follow without asking you what "it" meant.
This wrapper does not call a model. It records what you (or your agent) did.
- 记录日期: 2026-09-15T04:45:24.603Z