Here’s a list of the best Code Search engines for Mac. Use the tool below to explore and compare the leading Code Search engines for Mac. Filter the results based on user ratings, pricing, features, platform, region, support, and other criteria to find the best option for you.
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BLACKBOX AI
BLACKBOX AI
Revolutionize coding and app development with AI assistance!
BLACKBOX AI is an innovative AI-powered development platform designed to dramatically enhance productivity in coding, app creation, and research by leveraging cutting-edge AI technologies. At its core is the AI Coding Agent, the world’s first to offer real-time voice interaction and direct access to high-performance GPUs like NVIDIA A100s, H100s, and V100s, enabling rapid code execution and parallel task handling. Developers can convert Figma UI designs into fully functional code automatically, and effortlessly transform images into web applications with minimal manual intervention. The platform integrates directly with popular development environments such as VSCode, allowing users to share screens and collaborate in real-time. BLACKBOX AI supports cloud-based remote coding, with direct GitHub repository access for executing tasks at scale and maintaining seamless workflows. Mobile support empowers developers to utilize the coding agent from anywhere, breaking traditional location constraints. Additional features include building applications with embedded PDF context, generating and editing images, and designing complete websites with AI-assisted implementation. The platform’s deep research capabilities autonomously scan over 50 web pages to create detailed analysis and plans within minutes. By combining AI coding, design automation, and remote collaboration, BLACKBOX AI streamlines the entire software development lifecycle. It is an essential tool for developers, designers, and teams aiming to accelerate innovation and reduce manual workloads.
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Fisheye
Atlassian
Effortlessly manage, visualize, and collaborate on code changes.
Track, evaluate, and visually illustrate changes within your codebase. Retrieve and provide insights on actions while searching for commits, files, revisions, or contributors across multiple systems such as SVN, Git, Mercurial, CVS, and Perforce. Employ a side-by-side or unified diff tool to scrutinize modifications and effortlessly associate your Jira Software issues with diffs, changeset details, or the complete source code. Gain a graphical representation of your source activity, monitor the progression of lines of code over time, and establish a visual audit trail of all modifications. Remain updated about your projects through activity feeds that showcase commits, Jira Software issues, and Crucible review actions from your team. Leverage a powerful search function to efficiently find code based on various artifacts, including file names, commit messages, authors, content, and even past changes. Explore, index, and search through all your source code from different source code management systems, such as SVN, Git, Mercurial, CVS, and Perforce, all unified within a single platform. Improve your workflow by integrating with Jira Software, Bitbucket Server, Bamboo, and other tools to enhance your development process and boost efficiency. This all-encompassing strategy guarantees that you have all the necessary resources to effectively manage and visualize your code at your fingertips, ultimately leading to a more organized and productive coding environment. Additionally, by having a centralized view of your development activities, you can foster better collaboration among team members.
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Sourcetrail
Coati Software
Navigate complex code effortlessly with interactive, insightful tools.
Sourcetrail is an interactive application aimed at facilitating the navigation and understanding of existing source code by meticulously indexing it and gathering details regarding its architecture. This innovative tool features a user-centric interface that comprises three dynamic views, each critical for efficiently accessing pertinent information. The Search function allows users to quickly find and select indexed symbols within the codebase, with an autocompletion box that provides an immediate summary of all relevant findings across the entire project. The Graph view effectively showcases the structure of the source code, highlighting the currently selected symbol while also displaying its dependencies, both incoming and outgoing, with other related symbols. In addition, the Code view enumerates all source locations associated with the chosen symbol through various code snippets, enabling users to click on any item for a deeper investigation of the code. By offering such comprehensive tools and features, Sourcetrail not only simplifies the comprehension of intricate code structures but also empowers developers to enhance their coding practices and productivity. Ultimately, it serves as an invaluable resource for anyone looking to navigate complex software projects with ease.
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Cody
Sourcegraph
Transforming coding practices for enhanced efficiency and quality.
Cody is a sophisticated AI coding assistant created by Sourcegraph to improve software development's efficiency and quality. It works effortlessly within popular Integrated Development Environments (IDEs) such as VS Code, Visual Studio, Eclipse, and various JetBrains tools, offering features like AI-enhanced chat, code autocompletion, and inline editing, all while preserving existing workflows. Tailored forenterprise teams, Cody focuses on maintaining consistency and quality throughout entire codebases by leveraging extensive context and shared prompts. Moreover, it broadens its contextual insights beyond mere code by integrating with platforms like Notion, Linear, and Prometheus, thus creating a comprehensive picture of the development landscape. By utilizing advanced Large Language Models (LLMs), including Claude Sonnet 4 and GPT-4o, Cody provides customized assistance that can be fine-tuned for various applications, striking a balance between speed and performance. Users have reported notable increases in productivity, with some indicating time savings of around 5-6 hours weekly and a doubling of their coding efficiency when utilizing Cody. As developers continue to explore its features, the potential for Cody to transform coding practices becomes increasingly evident.