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Reqode vs TheGitAI

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

Reqode compared with TheGitAI
DetailReqode logo ReqodeTheGitAI logo TheGitAI
What it doesFrom Requirements to Code. Verified. Agentic AI coding tool that investigates, edits, tests, and documents code from your terminal
StageNot given Not given
FoundedNot given Not given
Based inCY Not given
Pricing modelNot given Freemium
PricingStartup: 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/ Free plan with included usage available now. Plus ($20/month, coming soon) provides 10× Free usage. Pro ($50/month, coming soon) provides 30× Free usage.
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
  • Parallel research across code search, file reads, and web lookups
  • Repository-wide coherent changes across source, tests, configuration, and documentation
  • Real project verification with tests, builds, linters, and typecheckers
  • Reversible edits with selective undo by file, turn, or checkpoint
  • Background jobs for dev servers, watchers, and builds
  • Approval modes for control: default, bypass all permissions, and plan (read-only)
  • Local sessions scoped to your repository
  • Curated frontier model picker including GPT, Claude, DeepSeek, and others
  • Structure-aware code mapping for 15 languages
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
  • No API keys or provider account setup required
  • Every change remains reviewable and reversible
Free planNot given Not given
Open sourceNot given Not given
PlatformsNot given Not given
Public APINot given Not given
Community votes00
DR (Domain Rating by Ahrefs)28 no change since last check26 no change since last check
Trust Flow (Majestic)180
Citation Flow (Majestic)3426
Referring domains (Majestic)6824

4 details filled in for both companies.

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