Trust But Verify: My Solo Developer AI Agent Workflow for Shipping Without Regrets

说明与用途

单人开发者使用 AI 代理进行构建，但自行验证所有更改，以防止代理仅报告完成而不验证真实结果导致的错误。

问题

Solo developers risk deploying incorrect changes because AI agents report completion without independent verification.

结果

The workflow prevents undetected failures, ensures all changes are verified independently, and maintains a clear audit trail.

工作流

• Write a brief with outcome, constraints, and a clear check
• Build small, single‑direction changes
• Verify against the live system: fetch remote tree, run full test suite, open live URL
• Ship in batches on a controlled schedule
• Log each completed task with date and link

证据

I learned that the hard way, more than once. The workflow below is the one I use now: agents do the building, and I do the verifying.

来源

That is the central danger of a solo developer AI agent workflow: agents report completion, not truth.

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If the agent pushed a file, I check the remote tree. If the agent ran tests, I run the full suite. If the agent says a page is live, I open the live URL.

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I batch small pushes to save automation minutes, and I never let an agent start a new task to fix a failed one without me seeing the failure first.

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The definition of "tests pass" is written in the brief, and it means the full suite, every time, run by someone — or some step — other than the one that wrote the code.

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