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Zeabur logo
Zeabur
✓ verifiedFreemium

Cloud deployment platform for developers that auto-detects code and frameworks to ship apps, servers, and AI-hub services with one push.

455K visits/mo72 saves
Jam logo
Jam
✓ verifiedFreemium

One-click bug-reporting tool that auto-captures console, network logs and repro steps for developers.

730K visits/mo2.9K saves
Qase logo
Qase
✓ verifiedFreemium

Test management platform unifying manual and automated test results with AI-assisted case generation, for scaling QA teams.

375K visits/mo
testRigor logo
testRigor
✓ verifiedPaid

AI-based test automation tool that lets QA teams and non-technical staff write and maintain end-to-end tests in plain English.

160K visits/mo
Devzery logo
Devzery
✓ verified

AI API regression-testing solution for streamlined QA and faster releases.

41K visits/mo2.0K saves
Pricing
Free: $0/mo (1 manageable server)
Dev: $5/mo (first 14 days free, 3 servers)
Pro: $19/mo (first 14 days free, 10 servers)
Team: $79/mo (3 seats included, +$24/seat/mo)

Free trial available

Free: $0 (30 Jams/mo, 5 recording links)
Team: $14/creator per month billed yearly (unlimited Jams)

Free trial available

Free: $0/user (up to 3 users, 2 projects, 500MB storage)
Startup: $24/user/month (up to 20 users, 1,000 AI credits/month)
Business: $30/user/month (up to 100 users, 2,000 AI credits/month)

Free trial available

No public pricing

No public pricing

Core features
  • Automatic language and framework detection and deployment
  • Git-push CI/CD with zero configuration
  • Auto-scaling compute resources
  • Built-in object storage similar to S3
  • One-click managed VPS purchase
  • Unified AI Hub API for multiple AI models
  • Domain and DNS management
  • In-browser file management console
  • One-click bug capture via browser extension
  • Automatic repro steps
  • Console, network and device logs
  • Instant replay of recent activity
  • Backend tracing and an AI debugger
  • Integrations with Jira, Linear, GitHub and Slack
  • Central test case repository with reporting dashboards
  • AI conversion of manual test cases into automated test scripts
  • CI/CD-connected automated test orchestration
  • Requirements-to-test traceability reporting
  • MCP server for connecting AI agents to test data
  • 20+ integrations including Jira, GitHub, and Slack
  • Plain-English test authoring and execution
  • Generative AI self-healing to reduce test maintenance
  • Coverage across web, mobile, desktop, API, and mainframe apps
  • Built-in support for email, SMS, phone calls, and 2FA testing
  • Test recorder for faster initial test creation
  • Import of existing manual test cases
  • AI-Powered Test Case Generation
  • Automated API Regression Testing
  • Collaborative Bug Tracking
  • Integrations with Project Management and CI/CD Tools
  • Effortless API Documentation
  • Unified Platform for Different Testing Phases
Use cases
  • Developers deploying apps without manual server config
  • Teams wanting predictable, fixed-plan hosting costs
  • Startups needing quick CI/CD pipelines
  • Projects needing bundled AI model access alongside hosting
  • Filing detailed bug reports
  • Reproducing issues faster in QA
  • Sharing debug context with engineers
  • Triaging support bug reports
  • QA teams consolidating scattered CI, manual, and automated results
  • Engineering orgs converting manual test backlogs into automation
  • Enterprises needing audit-ready traceability for regulated software
  • Reducing test-maintenance workload for QA teams
  • Letting business analysts write automated tests without coding
  • Running cross-browser and cross-platform tests in one suite
  • Automating regression testing for CRM and ERP systems
  • AI-Powered Test Case Generation: Devzery’s AI engine analyzes your PRD or project details to generate API test cases.
  • Test Suite & HTTP Coverage Metrics: Track test coverage and HTTP distribution metrics to ensure all critical aspects of your APIs are covered.
  • Precise Bug Tracking with AI: Automatically generate detailed bug reports with status, related test cases, expected vs. actual results, and error descriptions.
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