| What it does | From Requirements to Code. Verified.
| Up to 3x more work with the same tokens on Claude Code and Codex
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| Stage | Not given
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| Founded | Not given
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| Based in | CY
| BR
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| Pricing model | Not given
| Freemium
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| Pricing | Startup: Free for up to 3 users and 3 projects. Cloud Starter: $9 per user/month with unlimited users and projects. Cloud Pro: $19 per user/month with unlimited users, projects, 1,000 included AI credits per licensed user per month, and priority support. Self-hosted: Starting at $3,000 per instance/
| Basic FREE: always free with measurement and monitoring tools. Pró: US$9/month with 7 days free trial, includes Delta Read, Code Finder, Terminal Guide, Stop Loss, Budget Cap, and Git Admin. Ultra: US$12/month with 7 days free trial, adds Cheap Swarm and security features. GIGA UNLIMITED: US$27/mont
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| Key features | - Specification Management: Manage connected requirements, data entities, APIs, interfaces, wireframes, and test cases in a versioned product model with traceable relations and branch-aware revisions
- Change Management: Define each product change through a Change Request that connects goal, affected specifications, project branch, implementation impact, and linked issue
- Architecture & Software Units Blueprints: Define subsystem architecture and software unit blueprints with implementation rules, responsibilities, dependencies, and file boundaries linked to product sp
- AI Assistants: AI Analyst, AI Test Designer, AI Architect, and AI Product Expert for refining specifications, designing tests, developing architecture, and reviewing implementation
- MCP for AI Coding Agents: Give coding agents branch-aware specifications, architecture guidance, software units, file traces, and Change Request context through MCP
- Specification and Code Alignment Verification: Check that code matches specifications and follows architecture rules as the system evolves
- Test Management: Organize test cases, test runs, execution, and result history
- MCP for QA Agents: Give QA agents prepared test runs, cases, steps, and expected outcomes through MCP to record execution results
| - Deep Scan: measures token consumption by analyzing conversation history
- Smart Compress: compresses requests without calling the model
- Delta Read: reduces rereading of context across turns
- Cheap Swarm: routes lightweight tasks to cheaper models with 26 task classes
- Secret Lock: masks passwords and keys before they enter conversations
- Code Deck: 4 concurrent agent slots with 17+ CLI options
- KanBan Sync: automatic task board synced with agent planning
- HarnessUp Flow: create agentic workflows on infinite canvas
- Board: infinite canvas for notes, images, and columns
- Stop Loss: budget cap to prevent exceeding spending limits
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| What makes it different | - Preserves product context across tasks, agents, and code changes through a structured, verified product model
- Reduces handoffs and coordination by delegating whole features with connected specifications and implementation scope
- Prevents architecture drift by connecting implementation with subsystem architecture rules, unit guidelines, and component responsibilities
- Built for complex products where a single feature touches connected data, APIs, interfaces, and business rules across multiple repositories and systems
- Keeps product model current as specifications and implementation change using AI assistance and team review
| - Measures token waste with your own data before charging anything
- Reverses AI damage with one button undo functionality
- No login required to start measuring token usage
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| Free plan | Not given
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| Open source | Not given
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| Platforms | Not given
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| Public API | Not given
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 28 ▲ +1 (up) since last check | Not checked yet ● no change since last check |
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| Trust Flow (Majestic) | 18 | 0 |
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| Citation Flow (Majestic) | 34 | 0 |
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| Referring domains (Majestic) | 68 | 0 |
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Reqode
HarnessUp