3 Repos
Awesome GitHub RepositoriesFeature Specification Definition
AI-driven generation of implementation plans and clarifying questions before modifying code.
Distinct from AI-Driven Feature Implementation: Focuses on the planning and specification phase prior to implementation, unlike the direct modification of files.
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Awesome Feature Specification Definition GitHub Repositories
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- rse/es6-features
rse/es6-features
6,163Auf GitHub ansehenThis project is a reference catalogue of the new syntax and behavioral changes introduced in the ECMAScript 6 (ES6) specification for JavaScript. It serves as a curated overview and comparison table of the language features defined by the standard, documenting additions such as block scoping with let and const, arrow function syntax, default parameter handling, and rest parameter collection. The reference is structured as a side-by-side comparison chart that maps old and new JavaScript syntax patterns, providing a focused guide for each capability. It covers the core language fundamentals
Organises ES6 features by their specification section for side-by-side comparison.
HTML - potpie-ai/potpie
potpie-ai/potpie
5,161Auf GitHub ansehenPotpie 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
Generates detailed implementation plans and surfaces clarifying questions to define new feature specifications.
Pythonagentsai-agentsai-agents-framework - buildermethods/agent-os
buildermethods/agent-os
3,885Auf GitHub ansehenAgent-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
Generates detailed functional requirements and sample data to guide the development of specific application screens.
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