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Viaduct vs FixBugs

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

Viaduct compared with FixBugs
DetailViaduct logo ViaductFixBugs logo FixBugs
What it doesFree C4 modeling tool with an MCP server for software teams to share architecture context with AI development tools AI debugging for modern engineering teams
StageNot given Startup
FoundedNot given 2025
Based inLT US
Pricing modelFreemium Freemium
PricingBrowser: Free with account. Desktop: €10 a month after 7-day free trial, one licence covers 3 machines. Enterprise: custom pricing. Free Trial: 3 bug fixes per month. Pro: $33/month for 15 bug fixes per month (or $24.75/month billed as $297/year with annual discount). Super User: $60/month for 30 bug fixes per month (or $45/month billed as $540/year with annual discount). Enterprise: Custom pricing with custom bug fix volume.
Key features
  • System context, container, component, and code diagrams
  • Live collaboration on models
  • MCP server for AI coding agents
  • Change sets for scoped agent work
  • Organization SSO
  • JSON import and export
  • OpenAPI contract export
  • Desktop app for macOS, Windows, Linux
  • AI assistant for model descriptions
  • Installable PWA
  • Automated alert triage from monitoring stack
  • Root cause analysis across distributed systems
  • Issue reproduction in controlled environment
  • Validated fix generation with test cases
  • VS Code extension for local debugging
  • GitHub App for automated analysis
  • Self-hosted deployment option
  • Integration with logs, traces, metrics and alerts
  • Visible reasoning chain for every fix
  • Triage sessions shareable and reloadable
What makes it different
  • Model elements exist once and appear on every level they belong to
  • Endpoints are real OpenAPI documents, not diagram labels
  • Desktop app keeps all data local and offline-capable
  • Free browser version with no paywall or feature limits
  • AI agents read and write architecture through MCP
  • Validation-first approach with reproduction tests and regression verification
  • Built specifically for debugging existing bugs, not writing new code
  • Handles complex distributed systems with stateful, auditable workflows
  • No hard upper limit on context, processes automated log and trace ingestion
  • Local deployment keeps code on user's machine
Community votes00
DR (Domain Rating by Ahrefs)3 +1 (up) since last check36 no change since last check
Trust Flow (Majestic)100
Citation Flow (Majestic)2813
Referring domains (Majestic)7473

6 details filled in for both companies.

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