Best Web-Based Debugging Tools of 2025 - Page 3

SwapCode AI serves as an innovative assistant designed to facilitate the transformation of one programming language into another. Picture it like rearranging building blocks, where you can effortlessly convert a square block into a round one—this is what it does for your code! This tool empowers developers and teams to adapt their code for fresh applications while maintaining its integrity. Compatible with various coding languages used for websites, games, and applications, SwapCode AI allows for seamless transitions; for instance, if a piece of code fits well within a Java framework but needs to be aligned with a Python environment, SwapCode AI can expertly modify it to fit. It also ensures that the revised code remains comprehensible and user-friendly. Furthermore, SwapCode AI is remarkably intelligent and integrates smoothly into your existing workflow, allowing you to utilize it effortlessly during your development process. This tool fosters collaboration among teams, enabling them to work together effectively even when employing different programming languages or tools. By bridging the gap between different coding environments, SwapCode AI enhances overall productivity and creativity.

Request Metrics simplifies web performance with real-user testing and automated Lighthouse tests. This helps you improve Core Web Vitals and SEO while improving user experience. Track real visitors and not just lab test with automatic noise cancellation. Get actionable insights and detailed element attribution. Our scheduled Lighthouse test detects regressions before they affect rankings. Real-user data lets you know how your site performs on the real world. Filter by device, region, vendor, or page to discover performance bottlenecks and receive instant alerts. You'll be able to identify which third-party scripts are causing your website to load slower. No complicated setup or code changes, just fast, reliable performance tracking designed for modern sites. Start today for free!

LogDog is an intuitive, real-time debugging platform built from the ground up to simplify mobile app development for iOS and Android. It lets developers remotely monitor network traffic, logs, and internal events with live updates, making bug detection and troubleshooting more efficient. The SDK integrates quickly with minimal code and offers handy features such as mocking API responses, 1-click screen sharing, and a built-in debug popup for on-device log control. Compatible with both debug and production builds, LogDog captures crucial events from the first app launch without the need for cables or manual reattachment. The web dashboard supports detailed log inspection, filtering, exporting, and easy sharing, boosting team collaboration during development. Designed to minimize performance overhead, the SDK adds only a small footprint to your app. LogDog also prioritizes security, encrypting all data in transit and at rest while giving developers full control over logged content. Whether you’re troubleshooting complex issues or speeding up your QA cycle, LogDog empowers mobile teams to ship better software faster.

Rookout is a live data collection platform and debugging platform that allows software engineers to understand any application, no matter where it is running. This includes monolithic applications to cloud native ones. Rookout enables engineers to reduce debugging time and log time by 80%. This allows them to solve customer problems 5x faster. Software engineers can access the data they need instantly with Non-Breaking Breakpoints. This is without any additional coding, restarts or redeployment. Developers can extract the data they need from any line of code. This makes it easier to collaborate and facilitate handoffs.

BMC Compuware Xpediter comprises a suite of debugging and interactive analysis tools designed for COBOL, Assembler, PL/I, and C programming languages, enabling developers to swiftly grasp application structures, implement modifications, and resolve issues securely, even when they lack familiarity with the original codebase. This platform allows developers to initiate interactive test sessions with ease, facilitating a smoother transition of applications into production while boosting their confidence in the process. Users can execute code line by line, gaining control over every facet of program execution and associated data. The inclusion of Code Coverage provides evidence of execution and valuable metrics for applications across various platforms. Additionally, developers can utilize Abend-AID's diagnostic features directly within their debugging sessions. The integration with Topaz for Program Analysis offers a visual representation of the source code, enhancing the debugging experience. Furthermore, Topaz for Total Test aids in creating a thorough collection of automated virtualized test cases, ensuring comprehensive testing. It even allows for the interception and debugging of mainframe transactions that are triggered remotely, showcasing its versatility in different environments. By utilizing these advanced tools, developers can significantly enhance their productivity and application reliability.

Immunity Debugger features both a graphical user interface (GUI) and a command line, which is conveniently located at the bottom of the GUI. This command line enables users to input shortcuts, similar to what they would do in traditional text-based debuggers like WinDBG or GDB. To facilitate a smooth transition for users familiar with WinDBG, Immunity has created aliases that prevent the need for extensive retraining, ensuring that they can quickly regain their productivity using the most effective debugger interface available. Additionally, users can execute Python commands directly from the command bar, enhancing functionality. They also have the ability to revisit previously entered commands or easily access a list of recently used commands through a dropdown menu, making the debugging process more efficient and user-friendly. Overall, the combination of these features positions Immunity Debugger as a powerful tool for developers.

OpenText Functional Testing Lab for Mobile and Web offers enterprises a scalable, cloud-based digital lab that centralizes real device and browser testing for mobile and web applications. Developers and testers can remotely access a diverse range of real devices, emulators, and cloud browsers to develop, debug, test, and monitor applications from any location, enhancing team productivity. The platform supports flexible scaling to meet fluctuating testing demands, eliminating the need for costly device purchases and maintenance. It also simplifies cloud browser testing by provisioning browsers on demand, removing the overhead of managing physical infrastructure. AI-driven automation enhances efficiency and resilience by streamlining workflows and adapting to testing changes rapidly. Security and privacy features ensure compliance with industry standards and protect sensitive data throughout testing processes. The solution integrates smoothly with open-source testing tools like Appium and Selenium, providing a robust testing ecosystem. Overall, it enables organizations to deliver higher-quality applications faster and with greater confidence.

Stetho serves as an advanced debugging bridge tailored for Android applications. By activating it, developers gain access to the Chrome Developer Tools, a feature that is inherently part of the Chrome desktop browser. Additionally, users have the option to enable the dumpapp tool, which provides a robust command-line interface to delve into app internals. Stetho can be conveniently integrated from Maven Central using either Gradle or Maven. While only the primary Stetho dependency is essential, developers may also find it beneficial to incorporate one of the network helpers. The integration with the Chrome DevTools frontend relies on a client/server protocol that Stetho establishes for the application. The platform allows for comprehensive network inspection utilizing the full range of Chrome Developer Tools features, which include image previews, JSON response aids, and the capability to export traces in the HAR format. Furthermore, Stetho enables users to visualize SQLite databases, allowing for interactive exploration with complete read and write functionalities. This makes it an invaluable tool for any developer seeking to enhance their application's debugging process.

Enhance machine learning model performance by capturing real-time training metrics and issuing alerts for any detected anomalies. To minimize both time and expenses associated with the training of ML models, the training processes can be automatically halted upon reaching the desired accuracy. Furthermore, continuous monitoring and profiling of system resource usage can trigger alerts when bottlenecks arise, leading to better resource management. The Amazon SageMaker Debugger significantly cuts down troubleshooting time during training, reducing it from days to mere minutes by automatically identifying and notifying users about common training issues, such as excessively large or small gradient values. Users can access alerts through Amazon SageMaker Studio or set them up via Amazon CloudWatch. Moreover, the SageMaker Debugger SDK further enhances model monitoring by allowing for the automatic detection of novel categories of model-specific errors, including issues related to data sampling, hyperparameter settings, and out-of-range values. This comprehensive approach not only streamlines the training process but also ensures that models are optimized for efficiency and accuracy.

Autoblocks offers AI teams the tools to streamline the process of testing, validating, and launching reliable AI agents. The platform eliminates traditional manual testing by automating the generation of test cases based on real user inputs and continuously integrating SME feedback into the model evaluation. Autoblocks ensures the stability and predictability of AI agents, even in industries with sensitive data, by providing tools for edge case detection, red-teaming, and simulation to catch potential risks before deployment. This solution enables faster, safer deployment without sacrificing quality or compliance.

Unexpected outcomes are a common occurrence in software development. With complete insight into the entire sequence of calls, developers can pinpoint the origins of errors and unexpected results in real time with remarkable accuracy. The discipline of software engineering heavily depends on unit testing to create efficient and production-ready software solutions. LangSmith offers similar capabilities tailored specifically for LLM applications. You can quickly generate test datasets, execute your applications on them, and analyze the results without leaving the LangSmith platform. This tool provides essential observability for mission-critical applications with minimal coding effort. LangSmith is crafted to empower developers in navigating the complexities and leveraging the potential of LLMs. We aim to do more than just create tools; we are dedicated to establishing reliable best practices for developers. You can confidently build and deploy LLM applications, backed by comprehensive application usage statistics. This includes gathering feedback, filtering traces, measuring costs and performance, curating datasets, comparing chain efficiencies, utilizing AI-assisted evaluations, and embracing industry-leading practices to enhance your development process. This holistic approach ensures that developers are well-equipped to handle the challenges of LLM integrations.

Digma seamlessly integrates with your IDE, utilizing runtime information to continuously identify issues, regressions, and other problems as you write code. You can instantly observe how any function performs in both continuous integration and production environments, allowing you to detect issues during the development phase. By analyzing code performance, Digma helps expedite code modifications and prevents recurring regressions, offering essential insights on usage, errors, and performance standards to clarify overlooked code and abandoned libraries. You will quickly grasp what is causing any bottlenecks and delays within your code, thanks to critical data such as execution times, scaling challenges, and N+1 query problems, enabling prompt resolutions. Furthermore, incorporating Digma into your GitOps workflow simplifies Pull Request feedback and enhances code review annotations for your team. With Digma, you'll gain the confidence to tackle even the most extensive and intricate projects, making it a vital asset for developers. This tool not only streamlines the coding process but also fosters a deeper understanding of your codebase.

Memfault upgrades Android and MCU-based smartphones to reduce risk, ship products quicker, and resolve issues quickly. Developers and IoT device makers can easily and quickly monitor and manage the entire device's lifecycle, including feature updates and development, by integrating Memfault in smart device infrastructure. Remotely monitor firmware and hardware performance, investigate issues remotely, and roll out targeted updates incrementally to devices without interrupting customers. You can do more than just application monitoring. Get device- and fleet-level metrics like battery health, connectivity, and crash analytics for firmware. Automated detection, alerts and deduplication make it easier to resolve issues faster. Customers will be happy if bugs are fixed quickly and features are shipped more often with staged rollouts (cohorts) and for specific device groups (cohorts).