Best Debugging Tools for Startups - Page 3

TotalView debugging software offers essential tools designed to expedite the debugging, analysis, and scaling of high-performance computing (HPC) applications. This software adeptly handles highly dynamic, parallel, and multicore applications that can operate on a wide range of hardware, from personal computers to powerful supercomputers. By utilizing TotalView, developers can enhance the efficiency of HPC development, improve the quality of their code, and reduce the time needed to bring products to market through its advanced capabilities for rapid fault isolation, superior memory optimization, and dynamic visualization. It allows users to debug thousands of threads and processes simultaneously, making it an ideal solution for multicore and parallel computing environments. TotalView equips developers with an unparalleled set of tools that provide detailed control over thread execution and processes, while also offering extensive insights into program states and data, ensuring a smoother debugging experience. With these comprehensive features, TotalView stands out as a vital resource for those engaged in high-performance computing.

Experience the power of CodeRush features immediately and witness their incredible capabilities. With robust support for C#, Visual Basic, and XAML, it offers the fastest .NET testing runner available, state-of-the-art debugging, and an unparalleled coding experience. Effortlessly locate symbols and files within your project and swiftly navigate to relevant code elements based on the current context. CodeRush boasts Quick Navigation and Quick File Navigation functionalities, streamlining the process of finding symbols and accessing files. Additionally, the Analyze Code Coverage feature enables you to identify which sections of your solution are safeguarded by unit tests, highlighting areas that may be vulnerable within your application. The Code Coverage window provides a detailed view of the percentage of statements covered by unit tests across each namespace, type, and member in your solution, empowering you to enhance your code quality effectively. By utilizing these features, you can significantly elevate your development workflow and ensure better application reliability.

Shoreline is the only cloud reliability platform that allows DevOps engineers to build automations in a matter of minutes and fix problems forever. Shoreline’s modern “Operations at the Edge” architecture runs efficient agents in the background of all monitored hosts. Agents run as a DaemonSet on Kubernetes or an installed package on VMs (apt, yum). The Shoreline backend is hosted by Shoreline in AWS, or deployed in your AWS virtual private cloud. Debugging and repairing issues is easy with advanced tooling for your best SREs, Jupyter style notebooks for the broader team, and a platform that makes building automations 30X faster by allowing operators to manage their entire fleet as if it were a single box. Shoreline does the heavy lifting, setting up monitors and building repair scripts, so that customers only need to configure them for their environment.

Zipy is a digital experience platform that combines analytics, error monitoring and session replay functionality in one. You can get deep insights into the behavior of users, reduce the time it takes to resolve issues, and improve customer satisfaction.

SourceDebug is a robust and efficient project-focused programming editor, code explorer, and debugging tool designed to enhance your understanding of code as you work and strategize. It features integrated dynamic analysis for languages such as C/C++ and Objective-C, making it versatile for various coding tasks. With SourceDebug, you can debug applications even when the source code is stored in different locations, ensuring flexibility in your workflow. The application seamlessly combines editing, browsing, compiling, and debugging functionalities for both local and remote projects. This tool is particularly useful for rapidly familiarizing yourself with an existing codebase, enabling a smooth transition to new projects. SourceDebug thoroughly analyzes your project, allowing for effortless navigation and code editing. You can quickly jump to variables, functions, or included files, enhancing productivity. The Smart Bookmark feature is a standout, as it records your browsing position for easy access later. Additionally, it supports debugging through GDB or LLDB-MI over various protocols such as SSH, ADB, Telnet, Rlogin, and Local Cygwin, with GDB server debugging also available. Users can show Quickwatch, Watches, Callstack, Variables, Memory, Breakpoint List, Disassemble, and Thread List as necessary. Furthermore, SourceDebug supports various storage solutions, including SFTP, FTP, and local drives, making it a comprehensive tool for developers. This versatility empowers programmers to tackle complex projects with ease and efficiency.

Arm DDT stands out as the premier debugger for servers and high-performance computing (HPC) in research, industry, and educational settings, serving software engineers and scientists who work with C++, C, and Fortran in parallel and threaded environments across both CPUs and GPUs, including those from Intel and Arm. Renowned for its robust capabilities, Arm DDT excels at automatically identifying memory issues and divergent behavior, enabling users to attain exceptional performance across various scales. This versatile tool supports multiple server and HPC architectures, offering seamless cross-platform functionality. Additionally, it provides native parallel debugging for Python applications, ensuring comprehensive support for a range of programming needs. Arm DDT is distinguished by its leading memory debugging features and exceptional support for C++ and Fortran debugging, along with an offline mode that allows for non-interactive debugging sessions. It is also equipped to manage and visualize substantial data sets effectively. Available as a standalone tool or as a component of the Arm Forge debug and profile suite, Arm DDT boasts an intuitive graphical interface that simplifies the process of detecting memory bugs and divergent behaviors across diverse computational scales. This makes it an invaluable resource for engineers and researchers alike, ultimately facilitating the development of high-performance applications.

Create dependable and optimized code that delivers accurate results across various Server and HPC architectures, utilizing the latest compilers and C++ standards tailored for Intel, 64-bit Arm, AMD, OpenPOWER, and Nvidia GPU platforms. Arm Forge integrates Arm DDT, a premier debugger designed to streamline the debugging process of high-performance applications, with Arm MAP, a respected performance profiler offering essential optimization insights for both native and Python HPC applications, along with Arm Performance Reports that provide sophisticated reporting features. Both Arm DDT and Arm MAP can also be used as independent products, allowing flexibility in application development. This package ensures efficient Linux Server and HPC development while offering comprehensive technical support from Arm specialists. Arm DDT stands out as the preferred debugger for C++, C, or Fortran applications that are parallel or threaded, whether they run on CPUs or GPUs. With its powerful and user-friendly graphical interface, Arm DDT enables users to swiftly identify memory errors and divergent behaviors at any scale, solidifying its reputation as the leading debugger in the realms of research, industry, and academia, making it an invaluable tool for developers. Additionally, its rich feature set fosters an environment conducive to innovation and performance enhancement.

Existing methods for software testing are often antiquated, inefficient, and expensive, resulting in issues with reliability and a squandering of engineering resources. Antithesis revolutionizes the landscape of testing and debugging by allowing your team to focus on software development rather than on extensive testing. Our innovative platform continuously monitors your software for potential issues within a simulated environment, ensuring that each problem can be effortlessly recreated, thereby facilitating the debugging process for even the most intricate challenges. As a cloud-based solution, Antithesis consistently evaluates the dependability of software systems. When developers create code, they seamlessly upload their software as container images to Antithesis. We subject your software to a range of conditions, promptly notifying you of any unexpected behaviors. Additionally, we assess your system against a wide array of pre-established properties, while also providing an SDK that enables the creation of custom test properties tailored to your specific requirements. This ensures that your software not only functions correctly but also meets the highest standards of reliability.

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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.

Deleaker is a powerful tool that detects memory leaks in C++,.NET and Delphi. It integrates seamlessly with Visual Studio and RAD Studio. It also works as a stand-alone app. Deleaker can identify and fix leaks such as memory leaks and GDI leaks. It also handles leaks in real-time. Debugging is easier with an intuitive interface, detailed reports and precise stack traces. Deleaker is a great tool for any project, big or small. It ensures that your software is efficient and leak-free.

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!

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.

IDA Pro serves as a powerful disassembler that generates execution maps to represent the binary instructions executed by the processor in a symbolic format, specifically assembly language. With the implementation of advanced techniques, IDA Pro is able to translate machine-executable code into assembly language source code, enhancing the readability of complex code. Additionally, its debugging feature incorporates dynamic analysis, allowing it to support various debugging targets and manage remote applications effectively. The tool's cross-platform debugging capabilities facilitate immediate debugging and provide easy connections to both local and remote processes, while also accommodating 64-bit systems and various connection options. Furthermore, IDA Pro empowers human analysts by allowing them to override its decisions or provide hints, ensuring a more intuitive and efficient analysis of binary code. This flexibility significantly enhances the analyst's ability to interact with the disassembler, making the process of analyzing intricate binaries not only more manageable but also more effective overall.

Weinre, pronounced similarly to "winery" or "weiner," stands for WEb INspector REmote and serves as a debugger for web pages, much like FireBug for Firefox and the web inspector for WebKit-based browsers, but it is specifically designed for remote debugging on mobile devices such as smartphones. Created during a time when no remote debuggers existed for mobile platforms, weinre has paved the way for more recent tools that some platforms now offer as part of their development suite. It utilizes the user interface code from WebKit's web inspector project, making it familiar to users who have experience with Safari's web inspector or Chrome's Developer Tools. Typically, the client application is launched in a desktop or laptop browser while the target web page is displayed on a mobile device, allowing for seamless debugging. Notably, weinre operates entirely through conventional JavaScript without relying on any native code within the browser environment, ensuring broad compatibility and ease of use. Its remote debugging capabilities have proven invaluable for developers working on web applications intended for mobile access, making it a vital tool in the web development landscape.

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.

GDB, or the GNU Project debugger, enables users to observe the internal workings of a program during its execution or determine what the program was doing at the time of a crash. To get started, launch your application while taking into account any factors that could influence its performance. Once your program halts, analyze the events that transpired up to that point. You can modify elements within your program to test fixes for one issue and subsequently explore additional problems. These programs may be run on the same device as GDB (native), on a separate machine (remote), or through a simulator. GDB is compatible with most well-known UNIX systems, Microsoft Windows editions, and Mac OS X. Additionally, inferior objects now feature a read-only attribute called 'connection_num', which displays the connection number as seen in the 'info connections' and 'info inferiors' commands. Furthermore, a new method named gdb.Frame.level() has been introduced, providing the stack level associated with the frame object, thereby enhancing the debugging experience significantly.

GNU DDD serves as a graphical interface for various command-line debuggers, including GDB, DBX, WDB, and others like Ladebug and JDB, among others. In addition to standard front-end capabilities like displaying source code, DDD is particularly renowned for its interactive graphical representation of data, which allows users to visualize data structures as graphs. Supporting the ideals of software freedom can be achieved by purchasing items from the FSF shop. To utilize DDD effectively, you must have the GNU debugger (GDB) version 4.16 or newer, though depending on the specific program being debugged, alternative command-line debuggers may also be required. DDD not only enhances the debugging experience but also encourages users to engage with the principles of open-source software.

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.

Quickly identify performance issues and gain insights into the workings of a complex C/C++ application using Orbit, a standalone profiling and debugging tool designed for both Windows and Linux environments. This tool is specifically engineered to assist developers in comprehending and visualizing the execution flow within intricate applications. By providing an overarching perspective on the internal operations, Orbit enhances the developer's grasp of complex systems, enabling them to swiftly pinpoint performance bottlenecks. The tool seamlessly operates with any C/C++ application, provided it has access to the Pdb file, allowing you to initiate profiling immediately after downloading Orbit. Upon launch, Orbit integrates itself within the target process, hooking into specific functions, and is effective even with highly optimized final or shipping builds. Its sampling feature is particularly beneficial when starting your investigation, as it is fast, reliable, and continuously active. Orbit optimizes the profiling process by combining sampling techniques with dynamic instrumentation, ensuring a more efficient workflow for developers seeking to enhance application performance. Additionally, the ability to visualize execution paths greatly aids in understanding how different components interact within the system.

VisualVM is a powerful tool used for monitoring and troubleshooting Java applications from version 1.4 onwards, supporting a variety of technologies such as jvmstat, JMX, Serviceability Agent (SA), and Attach API from different vendors. It is designed to meet the diverse needs of application developers, system administrators, quality engineers, and end users alike. For each running process, VisualVM displays essential runtime details including the process ID (PID), main class, arguments supplied to the Java process, JVM version, JDK home directory, JVM flags, and system properties. Additionally, it tracks various performance metrics such as CPU usage, garbage collection (GC) activity, heap and metaspace memory usage, the number of loaded classes, and the count of currently running threads. VisualVM also includes basic profiling features that allow for in-depth analysis of application performance and memory management, offering both sampling and instrumentation profiling options to cater to different analysis needs. This comprehensive set of tools makes VisualVM an invaluable resource for anyone looking to optimize their Java applications effectively.

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.