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Requirements management tool for AI-assisted software development
Problems Reqode Focuses On
Unstructured Knowledge
- Knowledge is scattered across tools and formats
- Hard to understand system behavior or feature intent
- AI tools underperform due to misaligned or incomplete specs
Documentation Drift
- Requirements contradict each other
- Specs, tests, and code become misaligned
- Documentation quickly becomes outdated
Code–Spec Divergence
- Code behavior no longer matches requirements
- Changes introduce mismatches
- Manual reviews fail to catch inconsistencies
AI-Induced Architecture Drift
- AI agents generate code that diverges from established architecture
- Implementations bypass design rules and domain boundaries
- Automated changes introduce silent inconsistencies across the system
How Reqode Solves It
Requirements-driven 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.
Frequently Asked Questions
Yes, but with a major upgrade.
Reqode lets you manage specifications and requirements, but unlike traditional RMS tools, it continuously validates them against each other and against your source code.
It doesn’t just store requirements — it ensures they stay true.
Yes.
Reqode provides a structured environment for specifications so AI can analyze dependencies, detect inconsistencies, and validate code. You can configure your own types and templates.
Reqode integrates with GitHub, GitLab, SVN and other repositories. When code changes, Reqode analyzes the impact on requirements and flags inconsistencies.
Everything happens via secure read-only access or private on-prem deployment.
No.
Developers can keep their workflow the same as well as task-tracker, AI coding agent, and other tools. Reqode will be a new tool that will provide a single source of reliable information about the project and its features. Reqode mainly affects the workflow of analysts and managers.
Rather not.
Jira manages tasks and can be integrated with Reqode. Confluence and Notion are about classic knowledge base or documentation management. This is an excellent approach, but it is not sufficient for effective work with software requirements and specifications.
Reqode provides a different way of managing software documentation. Reqode is designed to structure knowledge about software using small specifications that describe individual software elements and their relationships (artifacts). Reqode organizes a knowledge graph based on the relationships between artifacts (e.g. you have a specific feature specification that is linked to specific data entity specifications, UI specifications/prototypes, API methods, etc.). This approach allows you or your coding agent to get relevant context from any point in the graph and makes it easier to maintain consistency.
Reqode supports:
- Feature specs
- Data entity specs
- UI/UX specs
- Software interface / API contracts
- Test cases
- Software units architectural blueprints
Custom spec types can also be defined.
Reqode uses LLM-powered semantic analysis + dependency graphs to:
- compare specs against each other
- check that code reflects defined requirements
- detect contradicting statements
- track change impact
- highlight missing or outdated logic
It explains why something is inconsistent and proposes fixes.
Artifact's owner will be notified. You will see warning information for the affected artifacts:
- explanation of the inconsistency
- affected artifacts (specs, units, tests, or source code files)
- suggested fix options (update code, update spec, or both)
Team fix, adjust, or ignore these warnings. Fixes can be applied manually or by AI assistants.
Yes.
Reqode can generate code-level recommendations or patches in supported languages. But it always keeps humans in control.
Yes.
Reqode acts as a clean, structured source of truth — the foundation required for reliable AI-assisted coding. Agents query specifications directly via MCP.
It works for any team, but provides the most value for:
- multi-person engineering teams
- products with long-living codebases
- systems where requirements matter
- teams introducing AI-assisted development
Yes.
Reqode supports secure self-hosted deployment for regulated environments or private codebases.
Easy to Moderately difficult. It depends on the current form of your documentation.
Reqode has various assistants that help prepare and decompose requirements specifications from other sources. The assistants will help you prepare, but you will need to confirm the correctness of the decomposition and content.
Yes.
Reqode can generate specifications from existing code, improve outdated docs, or create structured requirements for new features.
Copilot generates code. Reqode provides related context for it.
After code changed, Reqode ensures the system stays consistent — that every change aligns with requirements and architecture.
Copilot alone can’t detect or fix system-level drift.
