Less prompting. More control.
Built for software teams and independent product builders who use AI coding agents to write a significant share of their code.
The Challenges of AI Coding
Too Many Handoffs
You spend a lot of time briefing agents, coordinating tasks, and stitching results together. Each step needs another prompt, another handoff, and more of your attention.
Lost Product Context
Product decisions get scattered across chats, documents, and code. AI agents and team members repeatedly reconstruct the same context, losing key details and connections.
Architecture Drift
Local changes drift from architectural rules, component responsibilities, and subsystem boundaries that the agent cannot see.
How Reqode Solves It
Reqode connects specifications and implementation in a product model, gives AI agents focused context, verifies their work, and keeps the model current through reviewed changes.
- Product model Requirements, APIs, data, UI, architecture, linked code.
- Change Request Specification changes with linked product context.
- Implementation An AI coding agent implements the change.
- Sync & Verification Check the result and resolve differences.
- Product model Updated context for the next change.
Capabilities
Specification Management
Change Management
Architecture Blueprints
AI
Assistants
MCP for
AI Coding Agents
Built for products with more moving parts
Reqode is designed for projects where a single feature touches connected data, APIs, interfaces, and business rules across your system.
-
Prototype
One repository
A few data entities
One main user flow -
Focused product
One app, with or without a backend
Dozens of data tables
Several user roles -
Connected product
Multiple apps or services
Shared data and API contracts
Roles and cross-app workflows -
Complex system
Multiple repositories
Hundreds of data tables
Many roles and integrations
- Prompt engineering: prototypes through focused products.
- Open-source spec frameworks: from the middle of the prototype stage to the middle of the connected product stage, overlapping with prompts and Reqode.
- Reqode SoloFor independent product builders: from the middle of the prototype stage to the middle of the connected product stage.
- Reqode TeamFor teams using AI-assisted development: from focused products through complex systems.
What changes with Reqode
Deliver complete features with less coordination, fewer corrections, and more time for your product.
- Less team effort per accepted feature
- Up to 30%
- Across briefing, specifications, implementation, review, and fixes.
- Fewer interventions in the agent’s work
- Up to 3×
- Less repeated context, manual redirection, and hands-on fixes.
- Less time spent on rework
- Up to 50%
- Caused by missed requirements, API contracts, and architecture rules.
Improvement targets informed by Almware Ltd’s experience developing business software. Actual outcomes depend on project complexity, developer experience, and the AI model used.
Your product model is your AI’s memory.
Reqode turns product knowledge into structured, verified context that persists across tasks, agents, and code changes.
- Reqode Requirements, specifications, architecture, and change history MCP
- AI coding agents Focused, branch-aware context for each task
- Source code repository Implementation connected to your product model
Where to Start
Frequently Asked Questions
Use an MCP-compatible agent such as Codex, Cursor, or Claude Code. Reqode supplies product and implementation context while the agent works in your coding environment. See MCP for Coding Agents.
Yes. Start with one relevant area, connect its repository context, and review the specifications that describe it. You can expand the model as you make further changes.
Your team can write them directly or use AI Analyst to clarify a feature and propose changes. Review the proposed diff and apply the accepted result.
Your team chooses the intended behavior, accepts specification changes, reviews the implementation and evidence, and decides what to release.
AI verifiers inspect specifications, architecture guidance, and linked implementation within their defined scope. Test runs record execution results.
Reqode connects implementation with subsystem architecture rules, unit guidelines, and component responsibilities. AI verifiers check the selected code against that guidance and record findings for your team to review. Explore architecture checks.
Review the intended behavior before choosing a correction. If the product decision has changed, your team can use AI assistance to prepare a specification update, review and apply it, then check the implementation against the revised specification. Explore how to resolve a mismatch.
