Migration Diary: Freeze a Golden Task Fixture Before You Leave a Paid Coding Agent
说明与用途
创建一个小型、可维护的黄金任务 fixture 模式,以捕获先前由 AI 代理聊天记录定义的验收标准,并在迁移到新堆栈后使用它来验证质量。
问题
When a paid coding agent subscription ends, the team loses the chat‑based acceptance surface that defined what "done" looked like, risking quality drift on the new stack.
结果
The team now has a lightweight, versioned test suite that captures the agent’s implicit acceptance criteria, allowing them to safely cancel the paid subscription without risking quality regression.
工作流
- 1. Identify recent agent‑drafted changes from merge history and write concise task descriptions.
- 2. Freeze pre‑change files as inputs next to each task prompt.
- 3. Create a runner that applies the frozen inputs, invokes the new local agent command, and asserts file changes and test results.
- 4. Execute the runner to ensure tasks pass; failures indicate destination drift.
- 5. Commit the fixture suite and runner to the repository for ongoing regression testing.
证据
A frozen fixture turns those unspoken expectations into files you can rerun on cheaper local or remote infrastructure.
The paid agent also absorbed style rules, review nits, and file‑ban instincts that never landed in git.
- 记录日期: 2026-09-22T19:45:24.208Z