2 个仓库
Awesome GitHub RepositoriesSpecification-Driven Generation
AI code generation based on detailed technical specifications and architectural boundaries.
Distinct from Code Generation Agents: Focuses on generating code from formal specifications rather than general natural language prompts.
Explore 2 awesome GitHub repositories matching artificial intelligence & ml · Specification-Driven Generation. Refine with filters or upvote what's useful.
Awesome Specification-Driven Generation GitHub Repositories
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- potpie-ai/potpie
potpie-ai/potpie
5,161在 GitHub 上查看Potpie is an LLM codebase analysis platform and multi-agent orchestration framework designed to act as an AI software engineer. It parses repositories into a structured code knowledge graph, enabling AI agents to perform multi-hop reasoning, dependency tracing, and grounded technical analysis across large codebases. The system distinguishes itself through a spec-driven development framework where agents generate detailed technical specifications and architecture plans before implementing multi-file code changes. It utilizes a durable execution engine to coordinate specialized AI personas for
Produces implementation based on defined architectural boundaries and outcomes to ensure project consistency.
Pythonagentsai-agentsai-agents-framework - buildermethods/agent-os
buildermethods/agent-os
3,885在 GitHub 上查看Agent-OS is an LLM multi-agent orchestration framework and AI software development lifecycle tool designed to coordinate specialized agents through shared workspaces and structured task lists. It functions as an agentic application bootstrapper and technical specification engine, providing the infrastructure to guide the process from product requirements to automated coding and deployment. The system distinguishes itself through spec-driven development, using detailed technical specifications and layered context injection to ensure generated code aligns with project standards. It employs a ma
Uses detailed technical specifications to direct agents and ensure generated code aligns with project standards.
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