Alternatives to Undo

Scout Monitoring is Application Performance Monitoring that shows you what charts cannot. Scout APM is an application performance monitoring tool that helps developers identify and fix performance problems before customers even see them. Scout APM's real-time alerting system, developer-centric interface, and tracing logic, which ties bottlenecks to source code directly, helps you spend less time on debugging, and more time creating great products. With an agent that instrument the dependencies needed at a fraction the overhead, you can quickly identify, prioritize and resolve performance issues - memory bloats, N+1 queries and slow database queries. Scout APM monitors Ruby, PHP and Python applications.

You can use your favorite debugging software to locally troubleshoot your Kubernetes services. Telepresence, an open-source tool, allows you to run one service locally and connect it to a remote Kubernetes cluster. Telepresence was initially developed by Ambassador Labs, which creates open-source development tools for Kubernetes such as Ambassador and Forge. We welcome all contributions from the community. You can help us by submitting an issue, pull request or reporting a bug. Join our active Slack group to ask questions or inquire about paid support plans. Telepresence is currently under active development. Register to receive updates and announcements. You can quickly debug locally without waiting for a container to be built/push/deployed. Ability to use their favorite local tools such as debugger, IDE, etc. Ability to run large-scale programs that aren't possible locally.

Effortless debugging for microservices allows for immediate identification of the code responsible for service failures, even in cases of elusive errors. Gain insights into each request, outlier, and issue without the need for extra logging or error reproduction efforts. Discover the fundamental causes of every error with comprehensive context derived from logs, metrics, traces, and instances of failed code execution. Benefit from seamless end-to-end tracing supported by automatic instrumentation, enabling a detailed view of logs, metrics, traces, and the history of code execution failures. Experience thorough performance monitoring that aids in swiftly pinpointing and eliminating application bottlenecks. Enjoy real-time topology discovery that provides complete visibility of dependencies across all services involved. Utilize highly adaptable dashboards and notification systems to detect issues before they reach end users. Furthermore, ensure that all failed tests and errors are documented automatically, making it easier to address each failure effectively and facilitating a rapid feedback loop between testing and development teams throughout the entire development process. This approach not only enhances collaboration but also significantly improves overall software quality.

It works: Codeless testing Give your entire team the ability to create and maintain automated tests. Not just developers. Meet your testing demands fast. You can get full coverage of your tests in days and not months. Our natural-language tests are very resistant to code changes. Our AI will quickly repair any test failures. Continuous Testing is a key component of Agile/DevOps. Push features to production in the same day. Boozang supports the following test approaches: - Codeless Record/Replay interface - BDD / Cucumber - API testing - Model-based testing - HTML Canvas testing The following features makes your testing a breeze - In-browser console debugging - Screenshots to show where test fails - Integrate to any CI server - Test with unlimited parallel workers to speed up tests - Root-cause analysis reports - Trend reports to track failures and performance over time - Test management integration (Xray / Jira)

Our advanced web platform significantly enhances the productivity of chip developers and verification engineers, allowing them to design and troubleshoot at a pace ten times quicker than before. With Verilator, users can effortlessly initiate and execute thousands of tests simultaneously with just one click. It also facilitates the easy sharing of test outcomes and waveforms within the organization, allows for tagging colleagues on specific signals, and provides robust tracking of test and regression failures. By utilizing Verilator to create Dockerized simulation binaries, we efficiently distribute test executions across our computing cluster, after which we gather the results and log files and have the option to rerun any tests that failed to produce waveforms. The incorporation of Docker ensures that the test executions are both consistent and reproducible. SiLogy ultimately boosts the efficiency of chip developers by shortening the time required for design and debugging processes. Prior to the advent of SiLogy, the leading method for diagnosing a failing test entailed manually copying lines from log files, analyzing waveforms on personal machines, or rerunning simulations that could take an inordinate amount of time, often spanning several days. Now, with our platform, engineers can focus more on innovation rather than being bogged down by cumbersome debugging processes.

Redux is a JavaScript library created to ensure that global state management within applications is both predictable and maintainable. It aids developers in crafting applications that deliver consistent behavior across various environments, whether they be client-side, server-side, or native, while also simplifying the testing process. By centralizing the state and logic of an application, Redux unlocks advanced features like undo/redo capabilities and state persistence. The Redux DevTools are instrumental in tracking the changes in an application's state, providing insights into when, where, why, and how those changes occur, along with functionalities such as time-travel debugging and detailed error reporting. Redux is designed to be adaptable, seamlessly integrating with any UI layer, and is backed by a vast ecosystem of add-ons tailored to diverse development requirements. Additionally, the Redux team offers supplementary libraries, such as React-Redux, which serves as the official bindings for React, and Redux Toolkit, a curated collection of tools aimed at streamlining Redux development, ensuring that developers can work more efficiently and effectively. Ultimately, Redux not only enhances the development experience but also contributes to the robustness and reliability of applications.

The TimeMachine debugging suite enhances the capabilities of Green Hills Software’s well-known MULTI integrated development environment (IDE) by offering insights into the intricate interactions within software that can lead to bugs, performance issues, and challenging testing scenarios. By displaying this information in intuitive formats, TimeMachine allows developers to efficiently sift through trace data, enabling them to write superior code more swiftly. With the ability to debug both forwards and backwards in time, TimeMachine simplifies the process of identifying even the most elusive errors. Discover how to optimize your software’s speed by analyzing execution histories to uncover hidden bottlenecks that could be slowing it down. Speed up your debugging process by allowing yourself to step back through your code, revisiting functions you may have previously overlooked. Additionally, take advantage of extensive execution history to ensure that your program undergoes thorough testing and meets quality standards. Ultimately, TimeMachine is a powerful tool that can transform the debugging experience for developers, making it more efficient and effective.

Lucidic AI is a dedicated analytics and simulation platform designed specifically for the development of AI agents, enhancing transparency, interpretability, and efficiency in typically complex workflows. This tool equips developers with engaging and interactive insights such as searchable workflow replays, detailed video walkthroughs, and graph-based displays of agent decisions, alongside visual decision trees and comparative simulation analyses, allowing for an in-depth understanding of an agent's reasoning process and the factors behind its successes or failures. By significantly shortening iteration cycles from weeks or days to just minutes, it accelerates debugging and optimization through immediate feedback loops, real-time “time-travel” editing capabilities, extensive simulation options, trajectory clustering, customizable evaluation criteria, and prompt versioning. Furthermore, Lucidic AI offers seamless integration with leading large language models and frameworks, while also providing sophisticated quality assurance and quality control features such as alerts and workflow sandboxing. This comprehensive platform ultimately empowers developers to refine their AI projects with unprecedented speed and clarity.

With over thirty years of dedicated customer use and ongoing improvements, the MULTI Integrated Development Environment (IDE) stands unparalleled in the realm of embedded software. Developers trust MULTI to assist them in crafting superior code and accelerating their product launches. From identifying elusive bugs to fixing memory leaks and enhancing system performance, MULTI is consistently effective. Each aspect of our groundbreaking Debugger is tailored to swiftly address issues that often confound conventional tools. Problems such as inter-task corruptions, unmet real-time requirements, and external hardware events can typically take weeks or even months to resolve. However, with Green Hills' TimeMachine tool suite, these challenges can often be addressed in mere hours or even minutes. The TimeMachine suite automatically records program execution data, seamlessly integrating the MULTI Debugger interface with advanced replay debugging features, making it a vital resource for developers. This innovative approach not only saves time but also enhances the overall debugging process significantly.

GoCodeo is a comprehensive AI platform for developers that accelerates coding, testing, and debugging processes. The platform integrates with VS Code to offer real-time assistance, from generating code snippets to automatically creating unit tests. GoCodeo’s AI-driven tools also provide debugging insights, enabling developers to identify and fix issues faster. With support for multiple programming languages and frameworks, GoCodeo empowers developers to write high-quality, production-ready code with less effort, streamlining development cycles and enhancing efficiency across projects.

DebuggAI is an innovative platform that harnesses artificial intelligence to simplify the debugging process, enabling developers to swiftly identify and fix coding problems through smart automation. With features like text-based test requests, secure local tunneling for localhost server testing, and visual reports that include GIF recordings, it significantly enhances the debugging experience. This versatile platform accommodates a variety of technologies such as Node.js, Next.js, React, TypeScript, JavaScript, Python, Django, and Vite, catering to diverse development environments. By allowing developers to create and execute tests with straightforward English commands, DebuggAI seeks to alleviate the challenges of end-to-end testing, ultimately boosting both efficiency and confidence in the software development lifecycle. Furthermore, its user-friendly interface and intuitive features empower developers to focus more on coding rather than troubleshooting, fostering a more productive work environment.

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.

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.

Seagence's unique execution pathway technology, combined with machine learning, allows you to receive realtime alerts that pinpoint the root cause of any defects in your Java production applications. You can fix your code without any debugging. When you start your application, attach a lightweight runtime Java agent. Seagence agent tracks data about how requests are processed as users access the application. Seagence needs to have enough sample for analysis within 24 hours. Seagence's analytics engine receives the data in realtime. It detects defects and alerts when they occur. Seagence can uncover all defects in your application, even those that are not obvious. Seagence provides defect and root cause information to help you fix your code. Seagence monitors your production application continuously and finds defects and root causes in real-time. This eliminates the need to debug.

Open-source and free to use, this tool is compatible across various platforms and caters to all EVM blockchains. The Solidity Debugger Pro (sdbg) is an extension for VS Code that enhances the debugging experience for Solidity projects with a plethora of features. It accommodates all EVM-compatible blockchains, making it simple for developers to debug their smart contracts either locally or through a forked node. Additionally, sdbg offers integrated debugging support specifically designed for the widely-used Hardhat framework, ensuring a seamless development process. With its robust capabilities, sdbg significantly improves the efficiency of debugging in Solidity projects.

Eliminate delays, pinpoint inefficiencies, and troubleshoot problems effectively. Become a part of a swiftly growing network of global businesses that are realizing up to 20 times the value and return on investment by utilizing KloudMate, far exceeding other observability platforms. Effortlessly track essential metrics, relationships, and identify irregularities through alerts and tracking issues. Swiftly find critical 'break-points' in your application development process to address problems proactively. Examine service maps for each component within your application while revealing complex connections and dependencies. Monitor every request and operation to gain comprehensive insights into execution pathways and performance indicators. Regardless of whether you are operating in a multi-cloud, hybrid, or private environment, take advantage of consolidated Infrastructure monitoring features to assess metrics and extract valuable insights. Enhance your debugging accuracy and speed with a holistic view of your system, ensuring that you can detect and remedy issues more quickly. This approach allows your team to maintain high performance and reliability in your applications.

HookWatch is a unified observability platform that monitors webhooks, scheduled cron jobs, and AI agent interactions in real time. It consolidates metrics, event histories, and failure tracking into one centralized dashboard for complete infrastructure visibility. Developers can inspect webhook payloads, analyze execution logs, and replay failed events to recover quickly from outages. The built-in cron monitor supports human-readable scheduling syntax and captures execution output with retry and backoff logic. With its MCP Proxy integration, HookWatch logs every AI agent tool call, including request and response data, latency percentiles, and error patterns. Automatic retries and buffering ensure that no webhook is lost during downtime. Alerts can be delivered through Slack, Discord, email, or PagerDuty with actionable context. The platform also features a terminal-first CLI that works offline, allowing local development without relying on cloud connectivity. Configuration can be managed as code through YAML files for version-controlled monitoring. Designed for teams that ship fast, HookWatch reduces debugging time and increases reliability across modern app stacks.

Real-time error detection and fix suggestions, along with swift and secure refactoring options that allow for easy one-step undo, intelligent code completion, the identification of unused code, and helpful documentation prompts, assist all Go developers—from beginners to seasoned experts—in crafting fast, efficient, and dependable code. Delving into and deciphering team projects, legacy code, or unfamiliar systems can be time-consuming and challenging. GoLand's navigation tools facilitate seamless movement through code by allowing instant transitions to shadowed methods, various implementations, usages, declarations, or interfaces tied to specific types. You can easily navigate between different types, files, or symbols, and assess their usages, all while benefiting from organized grouping by the type of usage. Additionally, integrated tools enable you to run and debug applications effortlessly, as you can write and test your code without needing extra plugins or complex configurations, all within the IDE environment. With a built-in Code Coverage feature, you can ensure that your tests are thorough and comprehensive, preventing any critical areas from being overlooked. This comprehensive set of tools ultimately streamlines the development process and enhances overall productivity.

Code Composer Studio is a comprehensive suite designed for the creation and debugging of embedded applications. It features an optimizing C/C++ compiler, a source code editor, a project build system, a debugger, a profiler, and a variety of additional tools. Its user-friendly integrated development environment (IDE) guides users through the entire application development process seamlessly. With familiar tools and interfaces, developers can hit the ground running more quickly than ever. By merging the strengths of the Eclipse software framework with Texas Instruments’ (TI) advanced debugging capabilities, Code Composer Studio offers a powerful and feature-laden environment tailored for embedded systems developers. This integration ensures that users can efficiently manage their projects while leveraging high-performance debugging tools.

The AdaMULTI IDE offers Ada developers access to the top-notch debugging and development capabilities found in the Green Hills MULTI IDE. For many years, users have relied on our tools and optimizing compilers to significantly enhance their debugging efficiency. The outcome? A more dependable product that reaches the market faster and incurs lower development expenses. AdaMULTI encapsulates nearly thirty years of debugging knowledge into an all-encompassing toolbox for embedded software development, equipping you with everything necessary to produce reliable software effectively. Our innovative debugger is tailored to swiftly address challenges that conventional tools struggle with. Bugs that once required weeks to resolve can now be tackled in mere hours or even minutes with the TimeMachine tool suite. Adhering to clean coding standards helps eliminate the risk of introducing new bugs through overly complicated code. Furthermore, a straightforward build configuration and seamlessly integrated tools allow developers to concentrate more on their core development tasks. This combination of features ensures that developers can optimize their workflows and achieve higher productivity levels.

Elevate your log management with Honeycomb, a platform designed specifically for contemporary development teams aiming to gain insights into application performance while enhancing log management capabilities. With Honeycomb’s rapid query functionality, you can uncover hidden issues across your system’s logs, metrics, and traces, utilizing interactive charts that provide an in-depth analysis of raw data that boasts high cardinality. You can set up Service Level Objectives (SLOs) that reflect user priorities, which helps in reducing unnecessary alerts and allows you to focus on what truly matters. By minimizing on-call responsibilities and speeding up code deployment, you can ensure customer satisfaction remains high. Identify the root causes of performance issues, optimize your code efficiently, and view your production environment in high resolution. Our SLOs will alert you when customers experience difficulties, enabling you to swiftly investigate the underlying problems—all from a single interface. Additionally, the Query Builder empowers you to dissect your data effortlessly, allowing you to visualize behavioral trends for both individual users and services, organized by various dimensions for enhanced analytical insights. This comprehensive approach ensures that your team can respond proactively to performance challenges while refining the overall user experience.

Powerful features to monitor, debugging, and optimize performance. Lumigo automates distributed tracing and visualizes every transaction. This allows you to see the flow of transactions and identify correlate issues between services. You can easily see the input/output for each service, including third-party services. View the stack trace line by line to see parameters and values. You can see the payload for http and API calls. All this without any code changes Lumigo's Correlation Engine allows you to see only the relevant logs, debugging information and details related to transactions. All transaction metrics, logs, and trace information can be viewed in one place. Start with a lead, and zoom in on the information you are looking for. You can search the data, and not just logs. Integration to your AWS account in one click. Fully-automated distributed traceing with no code changes. Lumigo uses AWS Lambda Layers to facilitate seamless integration.

Introducing a premier developer platform designed for the testing and debugging of AI agents, we provide the essential tools so you can focus on innovation. With our system, you can visually monitor events like LLM calls, tool usage, and the interactions of multiple agents. Additionally, our rewind and replay feature allows for precise review of agent executions at specific moments. Maintain a comprehensive log of data, encompassing logs, errors, and prompt injection attempts throughout the development cycle from prototype to production. Our platform seamlessly integrates with leading agent frameworks, enabling you to track, save, and oversee every token your agent processes. You can also manage and visualize your agent's expenditures with real-time price updates. Furthermore, our service enables you to fine-tune specialized LLMs at a fraction of the cost, making it up to 25 times more affordable on saved completions. Create your next agent with the benefits of evaluations, observability, and replays at your disposal. With just two simple lines of code, you can liberate yourself from terminal constraints and instead visualize your agents' actions through your AgentOps dashboard. Once AgentOps is configured, every execution of your program is documented as a session, ensuring that all relevant data is captured automatically, allowing for enhanced analysis and optimization. This not only streamlines your workflow but also empowers you to make data-driven decisions to improve your AI agents continuously.

CICube, an AI-powered platform, is designed to increase the efficiency of your CI/CD teams by preventing pipeline failures and reducing costs through intelligent predictions. Its AI agents monitor GitHub Actions work flows, detect anomalies and provide actionable solutions, saving hours of debugging. Context switching is a major productivity killer in CI. Developers lose focus when they are distracted by failed builds or CI notifications. CICube helps maintain developer flow by identifying and fixing problematic build. The platform offers AI powered pipeline fixes, real time monitoring, and actionable insight to improve CI pipeline productivity and developer productivity. Features include automatic detection of CI pipeline failures and resolution, evaluation of CI cycle through key metrics such as MTTR (mean time to repair), success rate, throughput and duration, and proactive monitoring key metrics in order to identify and fix any bottlenecks.

Accelerate your market readiness by simplifying design processes with superior DFT solutions. Tessent’s silicon lifecycle management tools not only offer sophisticated debugging capabilities but also incorporate essential safety and security features, along with in-life data analytics to tackle the dynamic challenges present in the current silicon lifecycle. By establishing a framework that enhances design testability, these management solutions deliver rigorous testing, uncover defects and concealed yield impediments, and extend their utility to system debugging and validation. This comprehensive suite of tools effectively scrutinizes data, providing vital system insights that can be leveraged for ongoing monitoring throughout the lifecycle. To achieve the utmost test quality, streamline yield ramp-up, and bolster safety, security, and reliability, utilize industry-leading solutions for DFT, debugging, and in-life monitoring, complemented by robust data analytics. Furthermore, reduce time to yield, address manufacturing anomalies, and recover yield affected by systematic defects to enhance overall operational efficiency. In this way, organizations can ensure both swift adaptation to market demands and sustained product excellence.

AWS X-Ray is a powerful tool that assists developers in analyzing and debugging distributed applications in production, particularly those constructed with a microservices architecture. This service enables you to gain insights into the performance of your applications and the services they rely on, helping to pinpoint the root causes of performance-related issues and errors. X-Ray offers a comprehensive view of requests as they move through your application, along with a visual representation of the various components involved. It is applicable for analyzing applications at different stages, whether in development or production, and it can handle everything from straightforward three-tier systems to intricate microservices architectures with thousands of interconnected services. By leveraging X-Ray, teams can enhance their understanding of application behavior, ultimately leading to more efficient troubleshooting and optimization processes.

Linaro Forge is a comprehensive suite designed for high-performance computing (HPC) that integrates debugging and performance analysis tools to assist developers in creating dependable and optimized software for server environments. It consists of three fundamental components: Linaro DDT, a leading debugger for applications written in C, C++, Fortran, and Python; Linaro MAP, a performance profiling tool that identifies bottlenecks and recommends optimization techniques; and Linaro Performance Reports, which provide succinct, one-page overviews of application efficiency. This suite accommodates an extensive array of parallel architectures and programming frameworks, such as MPI, OpenMP, CUDA, and GPU-accelerated systems on platforms including x86-64, 64-bit Arm, as well as various CPUs and GPUs. Additionally, it features a unified user interface that simplifies the transition between debugging and profiling phases during the development process, enhancing productivity and code quality for developers working in complex environments. This streamlined approach not only improves efficiency but also empowers developers to deliver superior performance in their applications.

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.

Debugging the run-time behavior of your code has become remarkably straightforward. The MPLAB® Data Visualizer is a complimentary debugging utility that provides a graphical representation of run-time variables within embedded applications. This tool can be utilized as a plug-in for the MPLAB X Integrated Development Environment (IDE) or as an independent debugging solution. It is capable of receiving data from multiple sources, including the Embedded Debugger Data Gateway Interface (DGI) and COM ports. Additionally, you can monitor your application's run-time behavior through either a terminal or a graphical representation. To dive into data visualization, consider exploring the Curiosity Nano Development Platform as well as the Xplained Pro Evaluation Kits. Data can be captured from a live embedded target via a serial port (CDC) or the Data Gateway Interface (DGI). Furthermore, you can simultaneously stream data and debug your target code using MPLAB® X IDE. The tool allows you to decode data fields in real-time using the Data Stream Protocol format. You have the option to visualize either the raw or decoded data in a graphical format as a time series or present it in a terminal, ensuring a comprehensive understanding of your application's performance. This versatility makes the MPLAB® Data Visualizer an essential asset for developers working with embedded systems.

Trusted by over 1,500 development teams, AppSignal delivers a comprehensive monitoring toolkit designed to help developers confidently ship code. AppSignal offers easy-to-use tools for performance monitoring, error tracking, log and host management, uptime checks, and more—all within a single, intuitive platform. Built for simplicity, AppSignal ensures fast setup, responsive support, and clear pricing that fits teams of all sizes. Developers choose AppSignal for its lightweight, effective monitoring that lets them focus on building great software instead of troubleshooting.

The Firefox Developer Tools comprise a comprehensive suite of utilities designed for web developers, integrated directly into the Firefox browser. These tools allow users to analyze, modify, and troubleshoot HTML, CSS, and JavaScript code effectively. In this section, you will find extensive guides detailing each tool, along with instructions for debugging Firefox on Android devices, methods for enhancing DevTools functionality, and techniques for troubleshooting the browser in its entirety. Accessing the Firefox Developer Tools can be done through the menu by navigating to Tools > Web Developer > Web Developer Tools, or you can simply use the keyboard shortcuts Ctrl + Shift + I or F12 for Windows and Linux, or Cmd + Opt + I for macOS. Additionally, these tools empower developers to streamline their workflow and ensure seamless web experiences for users.

AWS Cloud9 serves as a cloud-oriented integrated development environment (IDE) that allows you to create, execute, and troubleshoot your coding projects directly from your web browser. It features a built-in code editor, a debugger, and a terminal for ease of use. This IDE is equipped with necessary tools for various popular programming languages such as JavaScript, Python, and PHP, eliminating the need for manual installation or configuration on your local development setup to launch new projects. Being cloud-based means that you can access your Cloud9 environment from anywhere—be it your workplace, home, or any location with internet access. Additionally, Cloud9 streamlines the development of serverless applications, allowing for the effortless definition of resources, debugging, and toggling between local and remote application execution. Moreover, it facilitates collaboration by enabling you to share your development workspace with colleagues, which enhances pair programming and allows for real-time tracking of each other's contributions. Overall, Cloud9 significantly improves productivity and collaboration among development teams.

Debug Mail is a virtual SMTP Server that allows you to test and debug outgoing emails. All plans include unlimited daily test emails. You will need to provide credentials, snippets, and a REST API for easy interaction with the service. You can also create teams and share access for individual projects. Send an email containing a bug to the bug tracker by creating a direct link. You can also search for messages quickly and group them by title or date. You can view the headers, HTML, text and plain email versions for your messages.

Kanvo offers a seamless JavaScript SDK that enhances LangGraph-based AI agents with integrated memory, observability, and resilience, all without the need for any infrastructure setup. The SDK allows developers to integrate just a few lines of code to activate features such as persistent memory for storing facts, preferences, and goals, as well as threaded conversations for multi-user engagement and real-time monitoring of agent activities, which records every interaction, tool usage, and LLM output. Its innovative time-travel debugging capabilities enable users to checkpoint, rewind, and restore any agent's run state with ease, ensuring that workflows are easily reproducible and errors can be swiftly identified. Built with an emphasis on efficiency and user-friendliness, Convo's streamlined interface paired with its MIT-licensed SDK provides developers with production-ready, easily debuggable agents straight from installation, while also ensuring that data control remains entirely with the users. This combination of features positions Kanvo as a powerful tool for developers looking to create sophisticated AI applications without the typical complexities associated with data management.

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.

Monaca offers a cloud-based development platform that enables users to create Cordova applications directly from their web browsers without the need for extensive setup. This comprehensive environment includes everything from a Cordova IDE and debugger to remote building capabilities, all consolidated in one convenient location. The Monaca debugger not only retains your source code modifications but also allows for real-time testing on actual devices during the development process. With a full suite of tools for cross-platform mobile development, Monaca facilitates coding, debugging, and building in an efficient manner. You can swiftly initiate deployment automation by linking your GitHub repository, with all build settings easily adjusted through the browser interface. By committing changes to the repository, you can trigger automatic remote builds, and you have the flexibility to define configurations precisely by specifying branch or tag names for both debugging and release builds. This platform ensures seamless building for all leading mobile operating systems, and it can be integrated with advanced Cordova tools to enhance functionality. Monaca streamlines the entire development process, making it an ideal choice for developers looking for efficiency and ease of use.

Shield34 stands out as the sole web automation framework that ensures complete compatibility with Selenium, allowing users to seamlessly continue utilizing their existing Selenium scripts while also enabling the creation of new ones through the Selenium API. It effectively tackles the notorious issue of flaky tests by implementing self-healing technology, intelligent defenses, error recovery protocols, and dynamic element locators. Furthermore, it offers AI-driven anomaly detection and root cause analysis, which facilitates a swift examination of failed tests to identify what changed and triggered the failure. By eliminating flaky tests, which often present significant challenges, Shield34 incorporates sophisticated defense-and-recovery AI algorithms into each Selenium command, including dynamic element locators, thereby reducing false positives and promoting self-healing alongside maintenance-free testing. Additionally, with its real-time root cause analysis capabilities powered by AI, Shield34 can swiftly identify the underlying reasons for test failures, minimizing the burden of debugging and the effort required to replicate issues. Ultimately, users can relish a more intelligent version of Selenium, as it effortlessly integrates with your existing testing framework while enhancing overall efficiency.

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.

BitDive serves as an innovative zero-code platform for quality assurance and test automation tailored specifically for Java, Kotlin, Spring Boot, and other JVM-oriented applications. This platform captures genuine execution scenarios and seamlessly transforms them into reusable, deterministic test cases that can be effortlessly replayed in continuous integration environments, staging areas, or directly on a developer's workstation without the need to write or maintain any test code. Operating as a lightweight library dependency, BitDive meticulously records comprehensive context from actual traffic, encompassing HTTP/gRPC requests and responses, method invocations, SQL statements along with their parameters and outcomes, as well as service interactions and their respective timings. This functionality empowers developers with in-depth method-level visibility, distributed tracing capabilities, performance profiling, and detection of semantic drift. The platform's capture-replay-verify cycle allows teams to automatically produce regression test suites and JUnit tests from real executions, enabling them to replicate and troubleshoot production issues locally while maintaining the integrity of full execution chains. Moreover, it helps eliminate unreliable mocks and erratic tests while ensuring that behavioral changes are verified prior to deployment. Additionally, BitDive features visualization tools that illustrate service maps and heatmaps, providing teams with valuable insights into system performance and interaction patterns. This comprehensive approach ultimately enhances the reliability and quality of software delivery.

Luciq is an advanced mobile observability platform powered by AI, tailored for app developers and enterprises, enabling them to effectively monitor, diagnose, and enhance mobile applications with ease. This comprehensive solution integrates bug reporting, crash analytics, session replay, and performance monitoring within a single SDK that accommodates Android, iOS, web, and hybrid applications. Users can collect extensive device logs, network traces, annotated screenshots, videos, and user feedback, while machine learning automatically correlates events and errors to prioritize issues based on their impact. By offering developers insights into user sessions where problems occurred, they can replicate defects through replay and expedite issue resolution via integrations with tools like JIRA, Slack, Zapier, and Zendesk. Luciq's “Agentic Mobile Observability” methodology not only highlights the most pressing issues but also identifies potential root causes and suggests remediation strategies, empowering teams to boost their efficiency, enhance application stability, and improve the overall user experience. Ultimately, this platform transforms the way teams approach mobile app development and maintenance, ensuring they stay ahead of potential challenges.

Deductive AI is an innovative platform that transforms the way organizations address intricate system failures. By seamlessly integrating your entire codebase with telemetry data, which includes metrics, events, logs, and traces, it enables teams to identify the root causes of problems with remarkable speed and accuracy. This platform simplifies the debugging process, significantly minimizing downtime and enhancing overall system dependability. With its ability to integrate with your codebase and existing observability tools, Deductive AI constructs a comprehensive knowledge graph that is driven by a code-aware reasoning engine, effectively diagnosing root issues similar to a seasoned engineer. It rapidly generates a knowledge graph containing millions of nodes, revealing intricate connections between the codebase and telemetry data. Furthermore, it orchestrates numerous specialized AI agents to meticulously search for, uncover, and analyze the subtle indicators of root causes dispersed across all linked sources, ensuring a thorough investigative process. This level of automation not only accelerates troubleshooting but also empowers teams to maintain higher system performance and reliability.

If you’ve ever taken a screenshot or recorded your screen, you’re already familiar with how to use Jam. Jam magically generates comprehensive bug reports containing all the essential information engineers require. It enhances bug reporting in any tool you prefer to utilize. You can easily share links to your bug reports or send them directly to your chosen issue tracker. Your teammates, regardless of whether they have signed up or not, can benefit from this tool. Jam gathers everything necessary for engineers to effectively troubleshoot issues. We have eliminated the need for those tedious follow-up calls to provide additional context, as all the required information is readily accessible. With Jam, you get perfectly crafted bug reports every time, minimizing unnecessary back and forth. It integrates seamlessly with your preferred issue trackers and tools, making it as straightforward as taking a screenshot. Trusted by countless teams across various companies, you can report bugs in mere seconds without interrupting your workflow. Currently, Jam assists developers during the code review and testing phases by capturing crucial bug diagnostic data and instantly replaying the issue, making it easier to pinpoint what needs fixing. This innovative approach not only saves time but also enhances collaboration among team members.

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.

Kilo Code enables developers to accelerate their engineering workflows using an advanced, fully open-source coding agent built for real-world productivity. It provides specialized modes for planning, coding, debugging, orchestrating tasks, and answering technical questions without altering the existing codebase. The platform automatically detects errors, runs tests, and fixes failures, reducing the frustration of AI-generated mistakes. With its MCP marketplace and tools like Context7, Kilo grounds its output in accurate documentation to eliminate hallucinations. Developers benefit from seamless installation across major IDEs, terminals, and JetBrains environments, making it easy to integrate into existing workflows. The system supports multiple AI agents running in parallel, drastically increasing speed when tackling complex problems. Kilo also offers transparent model usage, open-source governance, and compatibility with more than 60 providers at honest, list-rate pricing. With hundreds of thousands of developers adopting it—many migrating from Cursor—Kilo has become a leading platform for agentic engineering.

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.