Best Debugging Tools of 2024

BotKube is an automated messaging bot that monitors and debugs Kubernetes clusters. InfraCloud developed and maintains it. BotKube is compatible with many messaging platforms such as Slack, Mattermost and Microsoft Teams. It can help you monitor your Kubernetes clusters, debug critical deployments, and give recommendations for best practices. BotKube monitors Kubernetes resources, and sends a notification via the channel if an event occurs such as ImagePullBackOff error. You can set the objects and the level of events that you want from the Kubernetes Cluster. You can toggle on/off notifications. BotKube can execute Kubectl commands on Kubernetes clusters without access to Kubeconfig and underlying infrastructure. BotKube allows you to debug your cluster's deployment, services, or any other aspect of it from your messaging window.

SonarLint is easy to use and requires no configuration. Simply download from your favorite IDE marketplace, then continue to code while SonarLint does its work. Overhead may be a problem with your current linting tool. This could include specialized tools for certain languages or a longer setup and configuration time. SonarLint allows you to settle on one solution for your Code Quality and Security problems. With hundreds of language-specific rules, we have you covered to catch Bugs and Code Smells as you code. SonarLint can help you deliver error-free code, from dangerous regex patterns to noncompliant coding standards. Your mistakes will only be visible to you if you have an intelligent tool at your side. This allows you to quickly understand them and make the necessary corrections.

Stetho is an advanced debug bridge for Android apps. Developers have native access to the Chrome Developer Tools feature as part of the Chrome desktop browser. Developers have the option to enable dumpapp, which provides a powerful command line interface to application internals. You can also include Stetho via Maven Central via Gradle, Maven. You only need the main Stetho dependency, but you may also want to use one or more of the network helpers. Integration with the Chrome DevTools frontend can be done using a client/server protocol that the Stetho software provides for you. The full range of Chrome Developer Tools features are available, including image preview, JSON response assisters, and exporting traces in the HAR format. SQLite databases can interactively be visualized and explored with full read/write capabilities.

GDB, the GNU Project Debugger, allows you see what's going on "inside" another program as it executes. It also lets you see what another program was doing when it crashed. Start your program and specify any changes that could affect its behavior. When your program stops, examine what has happened. You can make changes to your program so that you can try out different bugs and learn more about them. These programs could be running on the same machine that GDB (native), another machine (remote), and on a simulator. GDB is compatible with most UNIX and Microsoft Windows versions, as well Mac OS X.

To ensure that code is readable and maintainable, identify potential problems early. The rules database identifies possible problems and identifies issues in code structure, design and complexity. This can be used to improve code quality. Many causes of application instability include memory leaks and overlays as well heap and stack corruption, API misuse, and overruns. If runtime errors are not detected, they can be identified and corrected. Testers, developers, and managers can quickly assess the coverage of runtime application tests. Add tests that do not execute lines of code to address testing gaps. TrueTime detects when code threads change in and out of processing. TrueTime displays its findings in the contexts of lines, methods and classes to help you pinpoint slow items in your application. For a deeper quantitative assessment of testing, apply coverage analysis to unit-testing.

GNU DDD is a graphical interface for command-line debuggers like GDBX, DBX and WDB. DDD is known for its interactive graphical data display. Data structures are displayed in graphs and it has other features than the usual front-end features. The FSF shop sells software that supports the principle of software independence. You will need the GNU Debugger (GDB), version 4.16 (or, depending on the program being debugged, other command-line debuggers like Ladebug, JDB or XDB), or the Perl debugger and bash debugger bashdb or the GNU Make debugger remake or the Python debugger pydb.

SourceDebug is a powerful, project-oriented programming editor, code viewer, and debugger. It helps you understand code as you work and plan. SourceDebug includes dynamic analysis for C/C++ and Objective-C. SourceDebug can debug applications with source code from different locations. SourceDebug allows you to edit, browse, compile, and debug both local and remote projects. It can be used to quickly learn existing code and to get up to speed with new projects. SourceDebug can parse your entire project and allow you to navigate and edit code with ease. It can jump to variables, functions, and include files easily. Smart Bookmark can store the location of your browser and play it back when necessary. Supports GDB and LLDB-MI debug via SSH, ADB Telnet, Rlogin, and Local Cygwin. GDB server debug is also possible. Show Quickwatch, Callstacks, Variables and Memory. Supported are Ftp, Sftp, and Local drives.

Arm DDT is the most widely used server and HPC debugger in academia, research, and industry for software engineers and scientists who develop C++, C, Fortran parallel, and threaded programs on CPUs and GPUs, Intel and Arm. Arm DDT is trusted for its ability to detect memory bugs and divergent behavior, enabling it to deliver lightning-fast performance on all scales. Cross-platform support for multiple servers and HPC architectures. Native parallel debugging for Python applications. Market-leading memory debugging. Outstanding C++ debugging support. Complete Fortran debugging support. Offline mode allows you to debug non-interactively. Large data sets can be visualized and handled. Arm DDT is a powerful parallel tool that can be used as a standalone debugger or as part the Arm Forge profile and debug suite. Its intuitive interface graphically allows for automatic detection of memory bugs at all scales and divergent behavior.

You can build reliable and optimized code to achieve the best results on multiple Server or HPC architectures. This includes the latest compilers and C++ standard, as well as Intel, 64-bit Arm and AMD, OpenPOWER and Nvidia GPU hardware. Arm Forge combines Arm DDT (the leading debugger for efficient, high-performance application debugging), Arm MAP (the trusted performance profiler that provides invaluable optimization advice across native, Python, and HPC codes), and Arm Performance Reports, which provide advanced reporting capabilities. Arm DDT/Arm MAP can also be purchased as standalone products. Arm experts provide full technical support for efficient application development on Linux Server and HPC. Arm DDT is the best debugger for C++, C, and Fortran parallel applications. Arm DDT's intuitive graphical interface makes it easy to detect memory bugs at all scales and divergent behavior. This makes it the most popular debugger in academia, industry, research, and academia.

The current approaches to software testing have become outdated, inefficient and expensive, resulting in reliability issues and wasted engineering efforts. Antithesis is an entirely new approach to testing, debugging and software development. Your team will spend less testing and more building your software. Our platform searches for bugs in your software continuously, in a simulated environment that allows every problem to be reproduced perfectly. This allows efficient debugging even of the most complex problems. Antithesis is a platform that continuously tests software systems. As your developers create code, they upload their software (as containers images) to Antithesis. We run your software in a variety conditions and report any unintended behaviors. We test your system using a variety of predefined properties. We also offer an SDK that allows you to define additional test properties specific for your system.

BMC Compuware Xpediter, a collection of debuggers, interactive analysis tools, and debuggers for COBOL, Assembler and PL/I programs, helps developers quickly understand applications and make changes in a secure environment. Even if they don't know the source code, it allows them to quickly fix problems. Xpediter allows developers to quickly jump into interactive testing sessions and move applications into production faster. You can see line-by-line execution of code and manage all aspects of program execution. Code Coverage allows you to view metrics and see proof of execution for multi-platform applications. You can access Abend-AID diagnostic capabilities within a debugging session. Integrate Topaz for Program Analysis to see a graphical representation of the source code. Topaz for Total Test can be used to build a complete portfolio of automated virtualized test cases. Remotely intercept and debug mainframe transactions.

The interfaces of Immunity Debugger include a GUI and a command-line. The command line is always accessible at the bottom of the GUI. It allows users to use shortcuts just like they would in a text-based debugger such as WinDBG and GDB. To ensure that your WinDBG users don't have to be retrained, Immunity has created aliases. This will allow them to get the productivity boost that comes with the best debugger interface available. Our command bar allows you to run Python commands directly. You can either go back to previous commands or click in the dropdown menu to see all of the most recent commands. The interfaces of Immunity Debugger include a GUI and a command-line. The command line is always accessible at the bottom of the GUI. It allows users to use shortcuts just like they would in a text-based debugger such as WinDBG and GDB.

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).

IDA Pro, as a disassembler, can create maps of their execution to show binary instructions that were actually executed by the processor in a symbolic representation. IDA Pro can generate assembly language source codes from machine-executable software and make this code more human-readable using advanced techniques. The dynamic analysis was added to IDA's debugging capabilities. It can handle remote applications and supports multiple debugging targets. Its cross-platform debugging capabilities allow instant debugging and easy connection to local and remote processes. IDA Pro allows the human analysts to override the disassembler's decisions or to give hints, so that the analyst can work seamlessly with the disassembler and more intuitively analyze binary code.

WEb INspector REmote is WEinre Pronounced like "winery". Or perhaps like the word "weiner". Weinre is a web page debugger, similar to FireBug (for Firefox), and Web Inspector (for WebKit based browsers), but it's designed to work remotely and, in particular, to allow users to debug web pages from a mobile device like a phone. Weinre was created in an era when there weren't any remote debuggers for mobile devices. Some platforms have begun to offer remote debugging capabilities as part of their platform toolkit. Weinre uses the user interface code from WebKit's web inspector project. If you have used Chrome's Developer Tools or Safari's web inspector, you will be familiar with weinre. Normal usage will require you to run the client application on your desktop/laptop and a target page on your smartphone. Weinre doesn't use any 'native code' in the browser. It's just plain old JavaScript.

Remote access to real mobile devices and emulators for continuous testing of Omnichannel apps. Enterprise lab and management gateway. Remote development, testing, debugging, and development with your preferred IDE/tool, services, sensors, interfaces and network virtualization. Integrations with open-source automated test tools like Appium and Selenium lower costs and create fewer technical barriers. Micro Focus UFT One, VuGen and BPM allow you to monitor production and analyze availability. Remote access to the centralized mobile devices lab provides remote access for developers and testers who are located in different locations. This allows them to validate all aspects of mobile user experience, including security and functionality. Devices can be hosted locally or as-a service using flexible configuration and deployment models.

Optimize ML models with real-time training metrics capture and alerting when anomalies are detected. To reduce the time and costs of training ML models, stop training when the desired accuracy has been achieved. To continuously improve resource utilization, automatically profile and monitor the system's resource utilization. Amazon SageMaker Debugger reduces troubleshooting time from days to minutes. It automatically detects and alerts you when there are common errors in training, such as too large or too small gradient values. You can view alerts in Amazon SageMaker Studio, or configure them through Amazon CloudWatch. The SageMaker Debugger SDK allows you to automatically detect new types of model-specific errors like data sampling, hyperparameter value, and out-of bound values.

Find performance bottlenecks quickly and visualize what's going on in complex C/C++ applications. Orbit is an independent profiler and debugging software for Windows and Linux. Its primary purpose is to assist developers in understanding and visualizing the execution flow of complex applications. Orbit provides a bird's-eye view of what's happening under the hood. This allows developers to better understand complex systems and quickly identify performance bottlenecks. Orbit will work on any C/C++ program, as long as the application has access to a Pdb file. As soon as Orbit is downloaded, you can start profiling. Orbit injects and hooks selected functions into the target process. It works on highly optimized final/shipping build. When you don't have a clue where to begin, sampling is a great way to get started. Orbit's sampler is fast, robust and "always-on". Orbit optimizes the workflow by combining dynamic instrumentation and sampling.

VisualVM monitors, troubleshoots, and diagnoses Java 1.4+ applications from a variety of vendors using jvmstat (jvmstat.com), JMX (Serviceability Agent), and Attach API. VisualVM is designed to meet the needs of all application developers, system administrators and quality engineers. VisualVM displays basic runtime information for each process: PID, mainclass, arguments passed to the java process, JVM home, JVM arguments and flags, and System properties. VisualVM monitors CPU usage of the application, GC activity and heap and metaspace / permanent memory, as well as the number of loaded classes, and running threads. VisualVM provides basic profiler capabilities to analyze application performance and memory management. Both sampling and instrumentation profiles are available.

Tool for developers to monitor and improve AI powered by LLMs or other foundation models. Our simple SDK provides you with an intuitive and actionable overview of how your generative AI application is performing in production. Integrate LLM into your existing codebase, developer workflow and workflow. You can maintain complete control of your data by using our audit logs and fine-grained controls. Get actionable insights into how to improve LLM interactions. These teams are not only best equipped to integrate these capabilities into existing software, but also their proclivity for deployment, iteration, and improvement will be more relevant going forward. We believe that as software becomes more malleable, engineering teams will be the ones to turn this malleability into a delightful and hyper-personalized experience for users. The generative AI revolution will be led by developers.

Unexpected outcomes happen all the time. You can pinpoint the source of errors or surprises in real-time with surgical precision when you have full visibility of the entire chain of calls. Unit testing is a key component of software engineering to create production-ready, performant applications. LangSmith offers the same functionality for LLM apps. LangSmith allows you to create test datasets, execute your applications on them, and view results without leaving the application. LangSmith allows mission-critical observability in just a few lines. LangSmith was designed to help developers harness LLMs' power and manage their complexity. We don't just build tools. We are establishing best practices that you can rely upon. Build and deploy LLM apps with confidence. Stats on application-level usage. Feedback collection. Filter traces and cost measurement. Dataset curation - compare chain performance - AI-assisted assessment & embrace best practices.

Digma integrates with your IDE and uses runtime information to highlight issues, regressions and problems as you code. Identify issues in development by seeing how a function scales up or down in CI and production. Digma helps you to accelerate code changes and avoid regressions by analyzing the code's performance. Digma also provides critical analytics about usage, errors and performance baselines. Understand what's causing your code to slow down and bottleneck. You can fix problems quickly with valuable data, such as code execution time, scaling limitations, or N+1 query issues. When your team integrates Digma in your GitOps cycles, Pull Request feedback and annotation of code becomes much easier. Digma allows you to understand it and begin working on it without fear - no matter what size or complexity it is.

Questa Verification is the only verification platform that offers a UVM-aware solution. This provides engineers with essential information about how their dynamic class-based testbenches work in the familiar contexts of source code and waveform watching. Questa Verification is a collection of technologies, methods, and libraries that are applicable to modern ASIC and FPGA design. Questa is constantly evolving to meet the increasing complexity of SoC designs. This publication provides insight and updates on concepts and values, standards, methodologies, examples, and other information to help you understand advanced functional verification technologies and how to apply them. Verification Horizons provides concepts, values and examples that will help you understand advanced functional verification technologies and how to apply them.