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Side-by-side features, use cases and pricing — because the right pick depends on your job and budget, not just the ranking.

Coder logo
Coder
✓ verifiedFreemium

Self-hosted cloud development environments and AI-agent governance, letting enterprises run coding agents on their own infrastructure.

208K visits/mo41 saves
Continue logo
Continue
✓ verifiedFreemium

Open-source AI coding assistant offering autocomplete and chat in IDEs; the company was acquired by Cursor.

775K visits/mo
Applitools Eyes logo
Applitools Eyes
✓ verifiedFree trial

AI-powered visual and functional test-automation platform for cross-browser, component, and accessibility testing.

188K visits/mo
Cosine logo
Cosine
✓ verifiedPaid

Cosine builds Lumen, code-specialist AI models you can deploy where your data lives for secure, sovereign coding.

31K visits/mo
Pricing
Community: $0 (open-source, self-hosted, unlimited workspaces)

Free trial available

No public pricing

No public pricing

Free trial available

Starter: $19/mo (4M credits)
Team: $199/mo (47M credits)
Enterprise: $999/mo (240M credits)
Core features
  • Self-hosted workspaces with desktop and web IDEs
  • Coder Agents run coding agents on isolated infrastructure
  • AI Governance gateway for LLM usage control
  • SSO (OpenID Connect) and role/group sync
  • Audit logging and resource quotas
  • Multi-organization access controls
  • High availability and workspace proxies
  • Open-source AI code assistant
  • Customizable autocomplete
  • In-editor AI chat
  • Community-built coding agent
  • Visual AI UI validation
  • Cross-browser and cross-device testing
  • Component and accessibility testing
  • Codeless recorder and NLP test builder
  • Test orchestration and self-healing tests
  • Root-cause analysis and automated maintenance
  • Lumen code-specialist models (Scout, Outpost, Sovereign)
  • Deployable on-prem, air-gapped or sovereign
  • Coding agent, CLI and cloud surfaces
  • Benchmarked on cost-per-successful-task
  • Support for niche programming languages
Use cases
  • Standardize developer environments
  • Run AI coding agents securely on-prem
  • Enforce governance and compliance
  • Cut VDI costs
  • Speed up developer onboarding
  • Get AI code completions while coding
  • Ask questions about code in the editor
  • Build on an open-source coding-agent foundation
  • Catch visual UI regressions
  • Automate cross-browser testing
  • Scale QA across large test suites
  • Run accessibility checks
  • Automating software development tasks
  • Secure, sovereign or air-gapped AI coding
  • Working with niche programming languages
  • Cybersecurity and red-team code work
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