Best Code Search Engines for CLion

Find and compare the best Code Search engines for CLion in 2025

Use the comparison tool below to compare the top Code Search engines for CLion on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

  • 1
    Sourcetrail Reviews

    Sourcetrail

    Coati Software

    $195.00/one-time/user
    Sourcetrail serves as an interactive tool designed to enhance the exploration of existing source code by systematically indexing it and collecting information about its architecture. This tool offers a user-friendly interface composed of three dynamic views, each essential for accessing the necessary information efficiently. The Search feature enables users to swiftly locate and choose indexed symbols within the source code. An autocompletion box appears, providing an immediate overview of all relevant results found throughout the entire codebase. The Graph view visualizes the arrangement of your source code, emphasizing the currently selected symbol while illustrating its incoming and outgoing dependencies with other symbols. Meanwhile, the Code view lists all the source locations tied to the selected symbol through various code snippets, and clicking on any listed location allows users to shift their selection for a more in-depth analysis. Overall, Sourcetrail significantly streamlines the process of understanding complex code structures.
  • 2
    Cody Reviews

    Cody

    Sourcegraph

    $59
    Cody is an advanced AI coding assistant developed by Sourcegraph to enhance the efficiency and quality of software development. It integrates seamlessly with popular Integrated Development Environments (IDEs) such as VS Code, Visual Studio, Eclipse, and various JetBrains IDEs, providing features like AI-driven chat, code autocompletion, and inline editing without altering existing workflows. Designed to support enterprises, Cody emphasizes consistency and quality across entire codebases by utilizing comprehensive context and shared prompts. It also extends its contextual understanding beyond code by integrating with tools like Notion, Linear, and Prometheus, thereby gathering a holistic view of the development environment. By leveraging the latest Large Language Models (LLMs), including Claude Sonnet 4 and GPT-4o, Cody offers tailored assistance that can be optimized for specific use cases, balancing speed and performance. Developers have reported significant productivity gains, with some noting time savings of approximately 5-6 hours per week and a doubling of coding speed when using Cody.
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