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Orchestrates a spec-driven AI development workflow by enforcing sequential research, architectural planning, and quality-gated code generation phases.
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The project formalizes a 'think-before-you-code' workflow for AI agents, which addresses the common failure mode of LLMs jumping straight to buggy code. However, defensibility is low as the project is a thin workflow wrapper around commodity APIs. Frontier labs are already internalizing these 'reasoning' and 'planning' steps directly into model architectures (e.g., OpenAI o1) or platform-level IDE features.
TECH STACK
INTEGRATION
cli_tool
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