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CodSpeed vs Aguru

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

CodSpeed compared with Aguru
DetailCodSpeed logo CodSpeedAguru logo Aguru
What it doesContinuous performance testing for your CI that catches regressions before they reach production AI execution infrastructure that turns mission-critical manual tasks into reliable, paid AI services
StageNot given Not given
FoundedNot given Not given
Based inFR Not given
Pricing modelFreemium Contact for pricing
PricingNot given Not given
Key features
  • Automatic benchmarking in CI
  • Low-noise performance data with variance below 1%
  • AI-enhanced differential flamegraphs
  • Automated performance fixes with Optimization Agent
  • GitHub integration
  • CPU, memory, and wall-time profiling
  • Bare-metal macro runners for isolated testing
  • Support for Rust, Python, Node.js, C++, Go, and Java
  • Performance gating and merge blocking
  • Job of Work Mapper: identifies valuable processes and maps required outcomes, steps, systems and stakeholders
  • Execution Engine: manages multi-week or multi-month workflows with fault tolerance, checkpoints and error recovery
  • Built-in stakeholder management: communicates with stakeholders across channels and escalates exceptions
  • Intelligence flywheel: captures execution data to benchmark models, improve accuracy and optimise costs
  • Small focused AI models in deterministic graph: reduces errors and cost vs single large models
  • Fully auditable and explainable execution
  • Durable execution engine with checkpoints and automated recovery
What makes it different
  • AI automatically identifies bottlenecks and proposes fixes
  • Integrates seamlessly into existing CI workflows and benchmark frameworks
  • Free for open-source projects and up to 5 users on private repos
  • Detects regressions before they reach production
  • Handles multi-stakeholder workflows spanning days, weeks or months without requiring core product rebuild
  • Partners keep control of brand and customer relationships while using platform for execution
  • Usage-based pricing aligns fees with completed outcomes rather than features
  • Small focused AI models designed for accuracy and repeatability in high-trust workflows
  • Includes mapping stage to validate commercial viability before significant investment
Community votes00
DR (Domain Rating by Ahrefs)66 no change since last check12 no change since last check
Trust Flow (Majestic)188
Citation Flow (Majestic)3729
Referring domains (Majestic)53464

4 details filled in for both companies.

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