Best Debugging Tools for Azure DevOps

Bugsnag monitors application stability so you can make data-driven decisions on whether you should be building new features, or fixing bugs. ‍ We are a full stack stability monitoring solution with best-in-class functionality for mobile applications. Rich, end-to-end diagnostics to help you reproduce every error. A simple and thoughtful user experience for all your apps in one dashboard. The definitive metric for app health — the common language for product and engineering teams. Not all bugs are worth fixing. Focus on the ones that matter to your business. Extensible libraries with opinionated defaults and countless customization options. Subject matter experts who care deeply about error reduction and the health of your apps.

From error tracking to performance monitoring, developers can see what actually matters, solve quicker, and learn continuously about their applications - from the frontend to the backend. With Sentry’s performance monitoring you can trace performance issues to poor-performing api calls and slow database queries. Source code, error filters, stack locals — Sentry enhances application performance monitoring with stack traces. Quickly identify performance issues before they become downtime. View the entire end-to-end distributed trace to see the exact, poor-performing API call and surface any related errors. Breadcrumbs make application development a little easier by showing you the trails of events that lead to the error(s).

Squish GUI Tester automates testing of graphical user interfaces across platforms and technologies such as Qt, Java, Web, .NET/WPF, iOS, Android, and embedded systems. Test scripts can be written in Python, JavaScript, Perl, Tcl, or Ruby, and its object-based recognition ensures tests remain reliable even as UIs change. With features like record/replay, keyword-driven and data-driven testing, test suite management, and CI/CD integration, Squish helps teams reduce manual testing, accelerate testing cycles, and ensure consistent performance, usability, and reliability. It is ideal for teams building enterprise-scale or safety-critical applications requiring high-quality, maintainable GUI testing workflows.

Luciq is an AI-powered mobile observability platform designed for app developers and enterprises to monitor, diagnose, and improve mobile applications seamlessly. The solution brings together bug reporting, crash analytics, session replay, and performance monitoring in one unified SDK that supports Android, iOS, web and hybrid apps. It enables users to capture detailed device logs, network traces, annotated screenshots, videos and user feedback, while automatically correlating events and errors using machine learning to prioritize issues by impact. Developers gain visibility into user sessions where things went wrong, reproduce defects through replay, and resolve issues faster using integrations with JIRA, Slack, Zapier, Zendesk and other tools. With Luciq’s “Agentic Mobile Observability” approach, the system surface the most critical problems, suggests root-causes and even recommends remediations, helping teams increase velocity, improve app stability and enhance user experience.