Reqode
Give AI agents the context to build whole features.
Reqode gives AI coding agents connected requirements and architecture context to build whole features, then helps teams verify implementation against specs. Available in the cloud or self-hosted.
Built by Dmitry Yurkin · Artificial Intelligence · Developer Tools · SaaS · Freemium
In category: #919 of 2046 · Artificial Intelligence
Reqode is a Community listing on Launch Llama with 20 total upvotes, founded by Dmitry Yurkin who joined in Sep 2026, compared against 5 alternatives.
Community listing
Listing status
20upvotes
Community score
Dmitry Yurkin (Joined Sep 2026)
Founder
Compared against 5 alternatives
Market comparison
Launched on Launch Llama Sep 28, 2026 · #39 of 143 that day
About
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.
Competitors: GitHub Copilot, Anthropic Claude, OpenAI Codex, Amazon CodeWhisperer
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
- Verify implementation against specs and trace source files back to requirements
- Review proposed changes and implementation findings before deployment
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
Who it is for
- Software developers using AI coding agents such as Codex, Cursor, and Claude Code.
- Engineering teams that need traceable requirements and architecture context for AI-assisted development.
Pricing
Reqode offers a free plan plus paid tiers. See the website for current pricing.
FAQ
What is Reqode?
Reqode gives AI coding agents connected requirements and architecture context to build whole features, then helps teams verify implementation against specs. Available in the cloud or self-hosted.
How does Reqode work?
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.
Who is Reqode for?
Reqode is designed for a range of users, including: • Software developers using AI coding agents such as Codex, Cursor, and Claude Code. • Engineering teams that need traceable requirements and architecture context for AI-assisted development.
What can you do with Reqode?
With Reqode you can: • 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
Is Reqode free?
Yes. Reqode offers a free plan plus paid tiers. See the website for current pricing.
What are the best Reqode alternatives?
Reqode positions itself as an alternative to GitHub Copilot, Anthropic Claude, OpenAI Codex and Amazon CodeWhisperer. In its own words: "Reqode gives AI coding agents connected requirements and architecture context to build whole features, then helps teams verify implementation against specs. Available in the cloud or self-hosted."
Alternatives
SpectrSpectr is AI ProductOps for the entire team. It turns client calls into specs, user stories and tracked work in Jira, Linear or Shortcut, then hands ready stories to a coding agent.More in Artificial Intelligence
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Supporters
16 founders
16 founders supported Reqode on Launch Llama.
Reviews
4.8 · 5 reviews
Clear pitch. Channel-level revenue attribution is a real pain point and the value is obvious within seconds of landing.
Powerful tool
Really solved our architecture context issues with Cursor and Claude Code. Game changer for full feature generation!
hey this looks very good
From the listing, the link between requirements, code, and tests looks useful for agent teams. A concrete end-to-end example would make the workflow easier to judge.
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