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AI Development Principles: Define 'Done', Verify with Tests

A user developed a companion website to assist with Claude Code in Action, integrating it with Hermes Agent workflows. The project highlighted several key principles for effective AI development, emphasizing the importance of clearly defining completion criteria rather than focusing on step-by-step instructions. It also stressed the value of automated checks and tests, suggesting that robust verification methods are more critical than the generation process itself. AI

IMPACT Highlights best practices for AI development and automation.

RANK_REASON User-developed tool integrating existing AI models.

Read on Mastodon — fosstodon.org →

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AI Development Principles: Define 'Done', Verify with Tests

COVERAGE [1]

  1. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    Built a companion site after Claude Code in Action — mapped to Hermes Agent workflows. Key takeaways: 1. Define "done", not steps. 2. Verify with diff and tests

    Built a companion site after Claude Code in Action — mapped to Hermes Agent workflows. Key takeaways: 1. Define "done", not steps. 2. Verify with diff and tests. 3. Hard rules go in code. 4. Checks matter more than generation. 5. Less oversight needs more auto-checks. 6. If a pro…