req-2-plan: An Intelligent Workflow Tool from Requirement to Plan

Original Author/Maintainer: xenonbyte Source Platform: GitHub Original Link: https://github.com/xenonbyte/req-2-plan Publication/Update Time: 2026-06-07T01:15:54Z

req-2-plan is a CLI tool that converts natural language requirements into structured execution plans and supports Agent integration installation. It aims to solve the problem of automating requirement management in software development. Combining the semantic understanding capabilities of large language models with structured plan generation mechanisms, it helps teams bridge the gap from requirements to execution, improving the efficiency and consistency of requirement processing.

In software project development, requirement management has three core pain points:

1. Semantic Gap: Natural language requirements are prone to ambiguity, and interpretation differences between roles may lead to later bugs or rework;
2. Information Loss: Multiple "translations" (business→technology, high-level→details) during requirement transmission easily cause information loss or distortion;
3. Lack of Traceability: It is difficult to quickly locate affected tasks when requirements change, and impact scope assessment relies on personal experience.

These pain points are the core background for the design of the req-2-plan tool.

Core Workflow

1. Requirement Parsing: Deeply analyze requirement text to identify dimensions such as goals, constraints, and functional scope;
2. Task Decomposition: Split requirements into task units containing input, output, dependencies, and acceptance criteria;
3. Plan Generation: Organize tasks into structured execution plans (considering dependencies, priorities, and resource constraints) and support multi-format output;
4. Validation & Feedback: Manual review and adjustment; the tool iteratively optimizes the plan based on feedback.

Agent Integration Architecture

The tool supports Agent integration, bringing three major advantages:

• Capability Reuse: Agent systems can directly call the tool's functions;
• Context Awareness: Use project history, team capabilities, and other information from the Agent environment to generate more practical plans;
• Continuous Learning: Optimize plan generation strategies through feedback collected by the Agent.

req-2-plan is suitable for multiple scenarios:

1. Agile Development Teams: Quickly convert user stories into development tasks during the Sprint planning phase;
2. Technical Solution Design: Help architects sort out requirements and generate initial technical implementation plans;
3. Outsourcing Project Management: Establish clear requirement baselines and delivery standards to reduce understanding disputes;
4. Automation Workflow: Integrate into CI/CD pipelines to achieve automatic synchronization from requirement changes to task updates.

The tool's technical implementation involves four major areas:

1. Natural Language Processing: Semantic analysis such as entity recognition, relation extraction, and intent understanding;
2. Planning Algorithms: Classical planning algorithms and heuristic search to balance plan feasibility and optimality;
3. LLM Integration: Deep integration with mainstream large language models, guiding structured output through prompt engineering;
4. CLI Design: Follow modern CLI principles, providing clear command structures, friendly prompts, and rich configurations.

Positioning differences between req-2-plan and other tools:

• Compared with traditional project management tools (e.g., Jira, Trello): It focuses more on intelligent conversion from requirements to plans rather than pure task tracking;
• Compared with pure AI code generation tools: It focuses more on high-level planning rather than specific implementation;
• Complementarity: It can be used as a pre-Jira tool to automatically generate structured task descriptions before importing into management systems.

The future development directions of the project include:

1. Multimodal Support: Expand to non-text inputs such as prototype diagrams and flowcharts;
2. Domain Adaptation: Develop requirement parsing models for specific industries like finance and healthcare;
3. Collaboration Enhancement: Introduce multi-person collaboration functions to support teams in jointly reviewing and modifying plans;
4. Historical Learning: Use project historical data to train models, making plans more aligned with the team's working mode.

req-2-plan represents a new tool paradigm that uses large language models to automate traditional manual tasks. It does not replace human judgment but frees people from tedious format conversion, allowing teams to focus on creative work. For efficiency-pursuing development teams, it provides valuable assistance in the requirement management link. Although it does not change the basic laws of software development, it can effectively improve the accuracy and efficiency of requirement processing.