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My automated doubt development process
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Overview
Automated doubt development involves critiquing the implementation of artifacts repeatedly to regain trust in AI-assisted development. This process aims to ensure adherence to standard engineering practices while using AI for writing code, specifications, and documentation.
Summary from alexself.dev.
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Hacker News · alexself.dev
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Based on 5 sampled comments from this thread. Analyzed 2026-06-08.
- Praise: The integration of AI agents in the development process enhances collaboration by gathering diverse stakeholder input, which can lead to more comprehensive feature planning.
- Praise: Jumping into LLM development reflects a proactive approach to adapting to industry trends, suggesting that AI-assisted development could be a viable future path for software engineering.
- Concern: There's a concern that relying on AI tools may lead to overengineering, as seen with Claude Code creating complex solutions for trivial issues.
- Concern: Trust issues arise when developers feel disconnected from the coding process, leading to skepticism about the effectiveness of AI in improving code quality.