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From Requirements to Code
Outcomes
Single Source of Truth
Requirements and specifications form a structured knowledge model of your product, accompanied by test documentation, traceability of tasks, tests, and code.
This approach provides a comprehensive overview of both the requirement-driven development process and product knowledge in one place.
Quality Improvement
Work from your requirements, and coverage becomes easy: you’ll see what’s tested, spot gaps, and find bugs faster.
AI assistants help automate and significantly reduce the time needed for verification and validation of requirements and specifications.
Accelerated Delivery
A structured requirements model increases the predictability of the software development lifecycle, from discovery to delivery.
AI assistants can automate up to 80% of routine work with requirements and code.
Focused Context for AI
Structuring product knowledge enables the automatic generation of focused, relevant context for large language models.
This focused context greatly increases the effectiveness of LLM-based AI, both inside Reqode and in external software via the MCP server.
Key Features
Reqode provides a framework for storing requirements information as individual, concise specifications. The template and properties of documents (artifacts) can be adjusted to fit your product’s specifics.
Reqode uses a feature-centric approach. All information is organized around the software’s features.
Reqode helps you create a living, maintainable knowledge base about your product. This base evolves alongside the product and reflects its current state.
The MCP server allows external AI agents (e.g. within your IDE) to get focused, relevant context for their tasks.
Studies show that context focus has a significant impact on the quality of results produced by language models. The less noise, the better the outcome.
In Reqode, test cases are a direct continuation of requirements. This enhances the clarity and detail of requirements, and allows you to control test coverage and testing processes by modules, business requirements, and subsystems.
Reqode supports integration with version control systems and allows you to link requirements and specifications directly to the source code.
Connecting requirements to code unlocks powerful capabilities that go beyond classic requirements management systems.
Reqode has basic bug tracking functionality, allowing you to log bugs and issues with a direct link to your requirements. You can also set up integration with external systems to track issues from third-party tools, all connected to your requirements in Reqode.
Reqode performs semantic indexing of project artifacts and searches across them based on meaning, not just keywords.
As an example, you can ask “How is pricing logic organized?” and Reqode will provide an answer with links to relevant artifacts, letting you trace to the source code, tests, and related tasks.
There are several AI Assistants available in Reqode, each designed to handle a specific type of artifact.
The main purpose of AI Assistants is to help the team handle routine tasks so that team members can focus on what really matters.
AI assistants won't write your entire product. However, they will reduce the amount of routine work and speed your software development lifecycle.
Traceability, Traceability, Traceability
Reqode provides traceability from business requirements to test cases, tasks, and source code. You can easily trace relationships and impact between artifacts from anywhere in your requirements model.
