Compare the Top Debugging Tools for Cloud as of December 2025 - Page 3

  • 1
    LangSmith

    LangSmith

    LangChain

    Unexpected results happen all the time. With full visibility into the entire chain sequence of calls, you can spot the source of errors and surprises in real time with surgical precision. Software engineering relies on unit testing to build performant, production-ready applications. LangSmith provides that same functionality for LLM applications. Spin up test datasets, run your applications over them, and inspect results without having to leave LangSmith. LangSmith enables mission-critical observability with only a few lines of code. LangSmith is designed to help developers harness the power–and wrangle the complexity–of LLMs. We’re not only building tools. We’re establishing best practices you can rely on. Build and deploy LLM applications with confidence. Application-level usage stats. Feedback collection. Filter traces, cost and performance measurement. Dataset curation, compare chain performance, AI-assisted evaluation, and embrace best practices.
  • 2
    Digma

    Digma

    Digma

    Using runtime information, Digma integrates into your IDE to continuously highlight issues, regressions, and problems, as you code. Immediately see how any function scales in CI or production and spot issues while still in development. Accelerate code changes and avoid endless regressions, by analyzing how the code performs, Digma provides critical analytics on usage, errors, and performance baselines to make sense of forgotten code and ownerless libraries. Immediately understand what’s causing bottlenecks and slowdowns in your code. With valuable data such as code execution times, scaling limitations, and N+1 query issues – you can quickly fix it. Pull Request feedback and code review annotation get way easier when your team integrates Digma into your GitOps cycle. Digma lets you understand it and start working on it fearlessly – no matter how large or complex.
  • 3
    Luciq

    Luciq

    Luciq

    Luciq is an AI-powered mobile observability platform designed for app developers and enterprises to monitor, diagnose, and improve mobile applications seamlessly. The solution brings together bug reporting, crash analytics, session replay, and performance monitoring in one unified SDK that supports Android, iOS, web and hybrid apps. It enables users to capture detailed device logs, network traces, annotated screenshots, videos and user feedback, while automatically correlating events and errors using machine learning to prioritize issues by impact. Developers gain visibility into user sessions where things went wrong, reproduce defects through replay, and resolve issues faster using integrations with JIRA, Slack, Zapier, Zendesk and other tools. With Luciq’s “Agentic Mobile Observability” approach, the system surface the most critical problems, suggests root-causes and even recommends remediations, helping teams increase velocity, improve app stability and enhance user experience.
  • 4
    Memfault

    Memfault

    Memfault

    Reduce risk, ship products faster, and resolve issues proactively by upgrading your Android and MCU-based devices with Memfault. By integrating Memfault into smart device infrastructure, developers and IoT device manufacturers can monitor and manage the entire device lifecycle, from development to feature updates, with ease and speed. Monitor hardware and firmware performance, remotely investigate issues, and incrementally rollout targeted updates to devices without disrupting customers. Go beyond application monitoring with device and fleet-level metrics, like battery health and connectivity with crash analytics for firmware. Resolve issues more efficiently with automatic detection, alerts, deduplication, and actionable insights sent via the cloud. Keep customers happy by fixing bugs quickly and shipping features more frequently with staged rollouts and specific device groups (cohorts).
  • 5
    Sourcery CodeBench
    Sourcery CodeBench delivers a powerful toolset that helps embedded software engineers to efficiently develop and optimize software for a variety of targets and various domains including Automotive, Connectivity, Graphics, and Video applications. Sourcery CodeBench goes beyond just the compiler to provide developers with powerful open source, embedded C/C++ development tools to build, debug, analyze and optimize embedded software in complex heterogeneous architectures including Arm, IA32, MIPS and Power Architectures. Eclipse based IDE enabling workspace customization and project management. Enhanced source code editor with syntax highlighting. Custom board support through Board Builder, a tool for automatically generating linker scripts, debug configuration files, and start-up code based on a board’s memory map.