My automated doubt development process
A software developer describes a methodology for improving AI-assisted coding by implementing 'automated doubt' through specialized subagents. The process involves using multiple agents to critique specifications and assumptions before code is generated.
Why it matters
As AI becomes central to software engineering, developing rigorous verification workflows is essential for maintaining code quality and security.
This process originated out of a lack of trust. I lost trust early in my AI-assisted development due to allowing our LLM partners to do too much, too quickly and without the standard engineering practices I had come to internalize. Trust was regained by automating as much doubt as I could muster. What does performing doubt look like? Critiquing the implementation of an artifact and doing so, repeatedly. If you are using AI to write code, specs, docs or any artifact, you may find this piece useful.
The content is a technical process description with no political or social bias.
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