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412 deterministic modules so AI agents stop hallucinating commands
LLM picks modules instead of writing code—determinism and reusability without hallucination.
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ChesterHsu
113mo ago
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AI-powered engineering workflows — Learn from any source, Act through any tool, Report through any channel
3 starsTypeScript
SWEny, YAML workflows for AI agents I'm running in prod (triage, E2E)
by wickdninja·May 13, 2026·2 points·0 comments
AI Analysis
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YAML-to-DAG compilation beats prompt-chaining for reproducible agent workflows.
Strengths
- •Compiles natural language into deterministic DAGs instead of fragile prompt chains.
- •Mermaid diagram export lets you visualize agent logic before running it.
- •Scoped MCP tool sets per node prevent context bleeding between workflow steps.
Weaknesses
- •Marketplace has zero community workflows yet, limiting immediate utility.
- •Relies on Claude Code under the hood, adding vendor lock-in risk.
Category
Target Audience
Engineering teams building automated AI workflows
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