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From Requirements to Code. Certain.
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.
Focused Context for AI
Structured product knowledge provides a truthful and focused context for large language models.
Focused context increases the effectiveness and reliability of LLM-based AI, both inside Reqode and in external software via the MCP server.
Quality Improvement
When tests, issues, and code are linked to the requirements, coverage is clear, gaps are visible, and defects are found faster.
AI assistants help automate and significantly reduce the time needed for verification and validation of requirements and specifications.
Accelerated Delivery
Structured requirements & specifications make the software development lifecycle more predictable.
This allows AI assistants to automate up to 80% of routine work with requirements and code.
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.
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.
Knowledge Graph
Reqode organizes software requirements, specifications and tests into a structured network of knowledge.
Each artifact such as feature, data entity, test case, and other, is represented as a typed entity with clearly defined relationships to other artifacts. This way, Reqode builds a knowledge graph of your software — a living map of all requirements, specs, tests and their interconnections.
AI Coding
Reqode improves the quality and reliability of AI-assisted code generation by providing structured context and architectural blueprints, allowing AI agents to focus on relevant information, reducing hallucinations, and stay align with planned architecture.
