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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
DHTMLX Chatbot logo
DHTMLX Chatbot
✓ verifiedFree

Lightweight MIT-licensed JavaScript chatbot UI widget for building support-agent chat interfaces on top of any LLM.

92K 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 (30 Jams/mo, 5 recording links)
Team: $14/creator per month billed yearly (unlimited Jams)

Free trial available

No public pricing

No public pricing

Core features
  • 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
  • MIT-licensed and free to use
  • Lightweight (~65kb) JavaScript widget
  • 4 message display modes plus typewriter effect
  • Markdown support and chat history
  • Backend hook to integrate any LLM
  • Responsive, mobile-friendly, read-only mode
  • 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
  • Filing detailed bug reports
  • Reproducing issues faster in QA
  • Sharing debug context with engineers
  • Triaging support bug reports
  • Adding an AI chat UI to web apps
  • Building LLM-powered support agents
  • Embedding chat widgets in existing products
  • Prototyping chatbot interfaces
  • 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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