Jam
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About
Jam is a technical debugging telemetry system designed to streamline the communication between bug reporters and software engineers. By functioning primarily as a browser extension and mobile app, it allows users to capture issues instantly, creating a "Jam" that contains a visual recording of the bug alongside a comprehensive suite of developer tools data. This eliminates the need for manual, written reproduction steps, as the tool automatically packages everything an engineer needs to diagnose and fix the problem, including the exact state of the application at the time of the error. The tool captures more than just video; it records console output, network requests, stack traces, and environment metadata such as the browser version and operating system. It features an "Instant Replay" capability that allows users to capture the last 30 to 120 seconds of an interaction even after a bug has occurred, ensuring that fleeting issues are never missed. For teams utilizing artificial intelligence in their development workflow, Jam integrates via the Model Context Protocol (MCP), enabling AI coding assistants like Cursor or Claude to ingest bug telemetry directly. AI also assists in the reporting process by automatically generating descriptive titles and step-by-step reproduction guides based on user actions. Jam is highly effective for cross-functional teams where non-technical stakeholders, such as Product Managers or Customer Support agents, need to report issues to technical teams. Support teams can use "Recording Links" to gather bug data directly from customers without requiring them to install an extension. QA engineers benefit from reduced back-and-forth communication, while developers receive high-fidelity tickets that include backend logging and DOM state snapshots, significantly reducing the time required for investigation. Unlike standard screen recording software or generic issue trackers, Jam is built specifically for the engineering workflow. It acts as a bridge, automatically syncing bug reports with popular tools like Jira, Linear, and Slack. Its architecture includes privacy-first features such as local buffers and ephemeral storage to ensure that sensitive data can be handled securely. The addition of backend logging integration and an iOS SDK further extends its utility beyond the browser, making it a comprehensive solution for full-stack and mobile application debugging.
Pros & Cons
Captures full technical context including console and network logs in a single click.
Integrates with major developer tools like Jira, Linear, and GitHub for seamless ticketing.
Reduces engineering investigation time by up to 60 minutes per ticket according to user data.
Supports AI coding assistants through the Model Context Protocol for automated debugging.
Enables technical bug collection from non-technical users via simple Recording Links.
Free plan is limited to only 30 Jams per month.
Maximum recording duration is capped at 15 minutes even on the highest paid plans.
Advanced security features like SAML SSO and audit logs are restricted to the Enterprise tier.
Backend logging and the iOS SDK are unavailable on the free Starter plan.
Use Cases
QA engineers can capture bugs with automatic reproduction steps and console errors to eliminate manual documentation work.
Product Managers can record visual issues with full developer context to avoid the need for follow-up meetings with engineering.
Customer support teams can send Recording Links to users to gather high-fidelity technical data directly from end-user issues.
Software developers can use the MCP integration to feed bug telemetry into AI tools like Cursor for near-instant fix generation.
Mobile developers can utilize the iOS SDK to capture technical logs from mobile environments where debugging is typically difficult.
Platform
Task
Features
• model context protocol (mcp) integration
• ios sdk for mobile debugging
• backend logging integration
• recording links for customers
• ai-powered reproduction steps
• console & network log capture
• instant replay (30-120s)
• one-click bug capture
FAQs
What technical data does Jam automatically capture?
Jam captures console logs, network requests, stack traces, device metadata (OS/browser), user actions like clicks and inputs, and DOM state snapshots.
Does my customer need to install the Jam extension to report a bug?
No, you can use the Recording Links feature to collect bug reports and technical logs from customers directly through their browser without them installing anything.
What is the Jam MCP integration?
It uses the Model Context Protocol to allow AI coding assistants like Cursor, Claude, and VSCode to natively ingest Jam's debugging telemetry for faster troubleshooting.
Can Jam be used for mobile app debugging?
Yes, Jam offers both a dedicated iOS app for mobile bug reporting and an iOS SDK that engineers can use to capture logs directly from their mobile applications.
How does the AI feature assist in bug reporting?
Jam's AI can automatically generate bug titles and reproduction steps based on the captured user actions, significantly reducing the manual effort required to create a ticket.
Pricing Plans
Team
USD14.00 / per creator / month• Unlimited Jams
• 15 minute recording time
• 150 Recording Links
• Auto-blur Recording Link Jams
• iOS SDK to capture logs
• Backend logging integration
• Access controls
• 200 AI generations / month
Enterprise
Unknown Price• Unlimited Recording Links
• SAML / SSO
• Automated data deletion
• Audit logs
• Priority support
• Custom data retention policy
• Workspace analytics
• Unlimited AI generations
Starter
Free Plan• 30 Jams / month
• 5 minute recording time
• Intercom integration
• Jam for iOS
• Jam MCP
• Standard metadata capture
• 30 AI generations / month
Job Opportunities
There are currently no job postings for this AI tool.
Ratings & Reviews
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