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One-click bug-reporting tool that auto-captures console, network logs and repro steps for developers.
VS Code extension letting developers chat with their own custom OpenAI assistants without leaving the editor.
Free AI helper that turns a plain-English description of a task into the matching Git command to copy and run.
Open-source framework for automated end-to-end UI testing of mobile and web apps, with a paid cloud for parallel device runs.
AI web-app and API vulnerability scanner with real traffic; solid security tool.
Free trial available
No public pricing
No public pricing
Free trial available
No public pricing
- ✦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
- ✦in-editor chat with OpenAI assistants
- ✦workspace source-code context sharing
- ✦support for custom, user-defined assistants
- ✦secure management of the user's OpenAI account
- ✦Natural-language to Git command suggestions
- ✦AI-driven command matching
- ✦Copy-ready command output
- ✦Git guides and reference
- ✦Human-readable YAML test flows
- ✦Local CLI and Studio testing for free
- ✦Open-source, CI-friendly design
- ✦Cloud device farm for parallel runs
- ✦AI-agent integration through MCP
- ✦Self-healing tests with local agents
- ✦DAST for Web Apps and APIs
- ✦Automated Penetration Testing
- ✦AI-Driven Remediation Reports
- ✦Compliance-Ready Security
- ✦Sensitive Data Exposure Detection
- ✦Real-Time Vulnerability Detection
- →Filing detailed bug reports
- →Reproducing issues faster in QA
- →Sharing debug context with engineers
- →Triaging support bug reports
- →getting coding help without switching out of VS Code
- →using a personalized OpenAI assistant tuned to a project
- →quick in-editor Q&A while writing code
- →Find the correct Git command quickly
- →Learn Git syntax by describing a goal
- →Avoid memorizing Git flags
- →Automate mobile app UI regression tests
- →Run tests in parallel across many devices
- →Integrate UI testing into CI pipelines
- →Let AI agents generate and run app tests
- →Identifying vulnerabilities in web applications and APIs
- →Automating penetration testing processes
- →Generating AI-powered remediation reports
- →Ensuring compliance with security standards
- →Detecting sensitive data exposure
- →Securing SaaS growth
- →Simplifying client security for MSSPs
- →Meeting compliance standards for regulated industries