
Jam
¿Qué es Jam?
Jam is a bug reporting tool designed to streamline the process of identifying, reporting, and fixing bugs. It allows users to report bugs in seconds by taking a screenshot or recording a video, automatically capturing all the necessary information engineers need to debug, such as device and browser details, console logs, network logs, and repro steps. Jam integrates with various tools like Notion, GitHub, Jira, and Slack, making it easy to share bug reports with the team. It also offers features like AI debugging and backend logging to further enhance the bug-fixing process.
¿Cómo usar Jam?
To use Jam, simply take a screenshot or record a video of the bug you want to report. Jam automatically captures all the necessary information, including device details, console logs, and network logs. You can then annotate, blur, and edit the report before sharing it with your team via a link. Jam integrates with various tools like Notion, GitHub, and Jira, making it easy to incorporate into your existing workflow.
Características Principales
- Automatic capture of device and browser information
- Console and network logs recording
- Repro steps recording
- Backend tracing
- AI debugger
- Integration with popular tools like Notion, GitHub, Jira, and Slack
- Video recording and screenshot annotation
Pros & Contras
Sin Datos
Casos de Uso
- Reporting bugs quickly and efficiently
- Streamlining communication between QA and development teams
- Capturing detailed information for debugging
- Integrating bug reporting into existing workflows
Grupos de Usuarios
Sin Datos
Precios de Jam
Vista Previa de Portada

Características de JAM
- Funcionalidad de IA Herramientas para desarrolladoresIA Herramientas para desarrolladores
- Funcionalidad de IA Herramientas de productividadIA Herramientas de productividad
- Funcionalidad de Servicio al cliente IAServicio al cliente IA
- Funcionalidad de IA Flujo de trabajoIA Flujo de trabajo
- Funcionalidad de IA Generador de informesIA Generador de informes
- Funcionalidad de IA TestingIA Testing