Best Debugging Tools in the UK

Ambassador Edge Stack is a Kubernetes-native API Gateway that delivers the scalability, security, and simplicity for some of the world's largest Kubernetes installations. Edge Stack makes securing microservices easy with a comprehensive set of security functionality, including automatic TLS, authentication, rate limiting, WAF integration, and fine-grained access control. The API Gateway contains a modern Kubernetes ingress controller that supports a broad range of protocols including gRPC and gRPC-Web, supports TLS termination, and provides traffic management controls for resource availability. Why use Ambassador Edge Stack API Gateway? - Accelerate Scalability: Manage high traffic volumes and distribute incoming requests across multiple backend services, ensuring reliable application performance. - Enhanced Security: Protect your APIs from unauthorized access and malicious attacks with robust security features. - Improve Productivity & Developer Experience

Discover, predict, and resolve errors in real-time. Go beyond crash reporting, error tracking, logging and error monitoring. Get instant and accurate alerts — plus a real-time feed — of all errors, including unhandled exceptions. Our automation-grade grouping uses machine learning to reduce noise and gives you error signals you can trust.

Telepresence streamlines your local development process, enabling immediate feedback. You can launch your local environment on your laptop, equipped with your preferred tools, while Telepresence seamlessly connects them to the microservices and test databases they rely on. It simplifies and expedites collaborative development, debugging, and testing within Kubernetes environments by establishing a seamless connection between your local machine and shared remote Kubernetes clusters. Why Telepresence: Faster feedback loops: Spend less time building, containerizing, and deploying code. Get immediate feedback on code changes by running your service in the cloud from your local machine. Shift testing left: Create a remote-to-local debugging experience. Catch bugs pre-production without the configuration headache of remote debugging. Deliver better, faster user experience: Get new features and applications into the hands of users faster and more frequently.

Dev teams use Disbug chrome extension to capture bugs with screen recording, screenshots, console logs, network logs, user events and upload them to the project management tool, with a single click! Explain and narrate the problem visually. Let developers see exactly what happened when it went wrong. One-click capture of the entire context for bug reports. Instantly know what went wrong from every angle by capturing the complete session. Get consolidated technical logs directly in your favorite tools and with a link to see the detailed logs. Centralize everything in your issue trackers. Seamless integration with the tools of your choice. Automatically create tickets in the pre-configured issue tracker when you report the bug. Expedites the debugging process. Gives you more clarity and makes development easy. Cut down your bug reporting time by 60%. Streamline the work of QA testers, developers & project managers at costs less than a cup of coffee!

If you’ve taken a screenshot or screen recording, you already know how to Jam. Jam auto-magically creates bug reports with all the info engineers need. Jam creates better bug reports in whatever tool you use. Share links to your bug reports or send them directly to your favorite issue tracker. Your teammates benefit whether they’ve signed up or not. Jam captures everything an engineer needs to debug. We've cut out the need for all those follow-up calls to share more context. Everything they need is right there. Perfect bug reports, every time. No more back and forth. Integrates tightly with your favorite issue trackers & tools. As easy as taking a screenshot. Trusted by thousands of teams at companies. Report bugs in seconds, without disrupting your workflow. Jam currently supports developers during the code review and testing cycles by capturing bug diagnostic data and instantly replaying the bug to seamlessly identify what needs to be fixed.

Polar Signals cloud is an always-on, zero-instrumentation continuous profiling product that helps improve performance, understand incidents, and lower infrastructure costs. With just one command and the easiest onboarding guide you’ll ever see, you can start saving costs and optimizing performance in your infrastructure. Travel back in time to pinpoint incidents and issues. Profiling data provides unique insight and depth into what a process executed over time. Utilize profiling data collected over time to confidently and statistically identify hot paths for optimization. Many organizations have 20-30% of resources wasted with code paths that could be easily optimized. Polar Signals Cloud employs an exceptional blend of technologies, purpose-built to deliver the profiling toolset essential for today's evolving infrastructure and applications. With a zero instrumentation setup, deploy immediately and reap the benefits of actionable observability data.

Automatically detect bugs and UI/UX discrepancies. Finding bugs is not only difficult but repetitive and boring too. With Buglab, you can easily detect UI/UX issues in websites, platforms, and web apps by automating the testing process. Accelerate development, and ensure client-facing software quality effortlessly while focusing on the important aspects of your business. Find UI bugs before they cost you. Buglab automates website testing by allowing you to simulate any kind of user action with just a few clicks, and without writing a single line of code. You can create any suitable sequence, to ensure your website changes are not causing any bugs or functionality changes. Once a test has been set, the system will display the results and highlight the differences between your base, and the new version of your website. Group your tests in logical suites and projects, and schedule them with different schedules.

Visualize and resolve thread performance issues, memory leaks, and structural app issues, during development or in production. Koin’s container captures only essential app behavior data, ensuring minimal overhead. Understand and debug the lifecycle of component instances and scopes, their loading times, and execution among different threads. This ensures proper management and resource allocation while identifying and preventing errors such as memory leaks, performance issues, and ANRs. Analyze dependencies to understand relationships between different components. Optimize the dependency injection process, simplifying development and debugging efforts. This proactive analysis ensures reliability and scalability by detecting and addressing potential issues early. Gain granular traceability of components and lifecycles with Kotzilla’s dedicated API. Visualize identified issues and application crashes to get comprehensive insights into your app’s performance and stability.

Defang is a developer-centric platform that simplifies the process of developing, deploying, and debugging cloud applications. By leveraging AI-assisted tooling, Defang enables developers to swiftly transition from an idea to a deployed application on their preferred cloud provider. The platform supports multiple programming languages, including Go, JavaScript, and Python, allowing developers to start with sample projects or generate project outlines using natural language prompts. With a single command, Defang builds and deploys applications, handling configurations for computing, storage, load balancing, networking, logging, and security. The Defang Command Line Interface (CLI) facilitates interactions with the platform, offering installation options via shell scripts, Homebrew, Winget, Nix, or direct download. Developers can define services using compose.yaml files, which Defang utilizes to deploy applications to the cloud.

Latta AI is an innovative platform designed to streamline the software development process by automating the detection and resolution of bugs. By recording user sessions and applying AI-driven fixes, Latta AI enables developers, project managers, and testers to focus more on feature development, thereby boosting productivity and accelerating release cycles. The platform integrates seamlessly with popular version control systems like GitHub and GitLab and maintains strict security protocols to ensure code privacy and protection. Additionally, Latta AI offers a plugin for JetBrains IDEs, allowing developers to access its bug-fixing tools directly within their development environment. This integration facilitates quick identification and resolution of issues without the need to leave the IDE. Overall, Latta AI aims to reduce the time developers spend on debugging by up to 40%, enhancing efficiency and allowing teams to focus on innovation.

DebuggAI is an AI-powered debugging platform designed to streamline the process of identifying and resolving code issues through intelligent automation. It offers features such as text-based test requests, secure local tunneling for testing on localhost servers, and visual test reports with GIF recordings to enhance the debugging experience. The platform supports various technologies, including Node.js, Next.js, React, TypeScript, JavaScript, Python, Django, and Vite, making it versatile for different development environments. DebuggAI aims to reduce the complexity of end-to-end testing by allowing developers to generate and run tests using simple English commands, thereby improving efficiency and confidence in the development workflow.

Built from the ground up for mobile developers. Monitor network requests, logs, and events in real-time. Debug faster, ship with confidence. FEATURES: - RealTime Logs: Capture every log from your application and see them appear in instantly in the dashboard - Network Monitoring: See how LogDog captures and analyses HTTP requests and responses - Event Tracking: Watch real-time event logging and analytics collection - Performance Metrics: Monitor app performance in real-time - Request Mocking: One Click to enable request mocking - throw in your own body, headers or statusCode - Any build type: Check logs from your Store builds, TestFlight and of course Xcode builds - Seamless experience: Test events across different session without annoying reattachment - Shake to Debug: Shake your device to toggle various debug features from LogDog

FlowLens is an AI-native debugging and session-recording tool that captures everything needed for correct, context-aware bug diagnosis and lets AI coding agents fix bugs autonomously. With a simple browser extension and optional MCP server, FlowLens records full user sessions, including video of the UI, network-request data, console logs, user interactions (clicks, inputs, navigation), storage state (cookies, local/session storage), system info, and more, all synchronized on a unified timeline. Once a bug is reproduced, FlowLens bundles that complete context into a single “flow” that can be shared via link. AI coding agents compatible with MCP (such as those from major providers) can then load the flow, inspect network activity, error logs, UI state, and user inputs, and automatically analyze root causes and suggest or even generate code fixes. This removes the need for manual replays, copying and pasting logs, or writing verbose bug descriptions.

LiveDebugger is a development tool that makes Phoenix LiveView debugging simple by helping developers see what is happening inside their applications in real time. It gives teams a clear view of the LiveView and LiveComponent structure, making it easier to understand how components fit together and shape the interface. Developers can explore the component tree at a glance, quickly identify where issues originate, and navigate the hierarchy of a LiveView application without guessing which part of the UI is responsible for a problem. LiveDebugger also lets users inspect assigns for any LiveView or LiveComponent in real time, helping them track state transitions, understand data flow, and see how values change as they interact with the app. Its callback tracing tools make it possible to follow lifecycle callbacks, measure execution time, analyze performance, and filter events so developers can focus only on what matters.

Don’t let app, device, or game crashes get in the way of a great experience. Backtrace takes all the manual labor out of cross-platform crash and exception management so you can focus on shipping. Cross-platform callstack and event aggregation and monitoring. Process errors from panics, core dumps, minidumps, and during runtime across your stack with a single system. Backtrace generates structured, searchable error reports from your data. Automated analysis cuts down on time to resolution by surfacing important signals that lead engineers to crash root cause. Never worry about missing a clue with rich integrations into dashboards, notification, and workflow systems. Answer the questions that matter to you with Backtrace’s rich query engine. View a high-level overview of error frequency, prioritization, and trends across all your projects. Search through key data points and your own custom data across all your errors.

Using Seagence’s unique execution path technology combined with machine learning, receive realtime alerts with root cause when defects occur in your production Java applications. Fix your code without needing any debugging. Attach a lightweight runtime java agent when you start your application. As your users access the application, Seagence agent collects data about how requests are being processed. So give Seagence 24 hours to collect enough sample for analysis. The collected data is fed to Seagence's analytics engine in realtime which finds defects when they occur and alerts. Know that Seagence unearths all defects in your application including unknown. With Seagence provided defect and root cause in hand, you fix your broken code. Continuously monitoring your production application, Seagence proactively finds defects and their root cause in realtime thus eliminating the need for debugging.

Zipy is the go-to digital experience platform that combines product analytics, error monitoring, and session replay capabilities in one. Here, you can gain deep insights into user behavior, reduce time to resolution of issues, and enhance customer satisfaction.

Request Metrics makes web performance easy with real-user monitoring and automated Lighthouse testing—helping you boost Core Web Vitals, SEO, and user experience. Track real visitors, not just lab tests, with automatic noise cancellation, actionable insights, and detailed element attribution. Our scheduled Lighthouse tests detect regressions before they hurt rankings, while real-user data keeps you informed on how your site performs in the wild. Filter by page, device, region, or vendor to uncover performance bottlenecks, and get instant alerts when something slows down. With built-in vendor tracking, you’ll know exactly which third-party scripts are hurting your load times. No complicated setup, no code changes—just fast, reliable performance monitoring designed for modern websites. Get started for free today!

Jahro is debugging software for Unity game teams. From inside the game you get filtered Unity logs, runtime commands/cheats, live variable watching, and snapshot sessions. Snapshots package logs, screenshots, and device details for sharing via the web console — aimed at faster QA-to-dev handoff and less cable/ADB work on mobile.

neatlogs is a collaborative debugging and AI reliability platform that provides all the tools your team needs to identify, understand, and fix AI agent issues efficiently Here’s what you can do today: - Trace and replay: See what your agent did, step by step. - Detect failures: Automatically flag traces using conditions, patterns, and classifiers. - Investigate: Ask Neat AI to investigate runs and turn its findings into fixes. - Evals: Route traces to human or AI reviewers and measure quality over time. - Experiment: Version prompts, test changes, and evaluate them against datasets. - Fix: Review AI-generated fixes and dispatch them to your coding agent. - Connect your tools: Connect your apps through Tools and MCPs so Copilot and Neat Agent can use them on your behalf. - Track production: Monitor cost, latency, errors, tools, and detection trends across your traces. Unlike other tools that are built only for technical audiences, neatlogs is accessible and understandabl