Reqode - Give AI agents the context to build whole features.

About Reqode

Reqode helps software teams define whole features, give AI coding agents connected product and architecture context, and verify implementation against specifications. Its branch-aware product model connects requirements, data models, user interfaces, APIs, software units, code and tests. Change Requests capture scope and decisions so a team can delegate work with context that persists beyond a single conversation. AI Analyst, AI Architect, AI Test Designer and AI Product Expert support specification work, architecture, test design and product investigation. Teams review proposed changes before applying them. Coding MCP lets agents retrieve connected engineering context and create or resolve Findings without editing specifications. QA MCP provides prepared tests and records execution results; external agents operate the running product with their own tools. Verification and traceability help teams inspect discrepancies and review delivery evidence. Reqode serves developers, architects, analysts, product managers and QA teams working on new or existing software. Use cases include preparing a scoped feature for an AI coding agent, tracing source files back to specifications, designing tests from product context, and reviewing implementation findings before release decisions. Reqode is available in the cloud or self-hosted. The free Startup plan supports up to three users and three projects. Cloud Starter costs USD 9 per user per month, with AI credits purchased separately. Cloud Pro costs USD 19 per user per month. Self-hosted plans start at USD 3,000 per instance per year. Visit https://reqode.com/price for current plan details.

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For agents

llms.txt · llms-full.txt · ai.txt · Live fact sheet · Full catalog (.md) · Endpoint index · API spec · REST access · Agent server · Server manifest · Server discovery

Reqode Key Features

• Connect requirements, data models, APIs, and code in a branch-aware product model
• Capture Change Requests with scope and decisions for persistent team context
• Provide AI agents with engineering context via Coding MCP to build features
• Design and execute tests from product specifications using AI Test Designer

Reqode Use Cases

• Scope a feature with connected context before delegating to an AI coding agent
• Trace source code changes back to original product requirements and specifications
• Generate test cases from product context and execute them against running code
• Inspect discrepancies between implementation and specifications before release
• Maintain persistent decision records and architecture context across team conversations

Reqode Pricing

Reqode FAQ