Claude Code
Claude Code by Anthropic brings agentic AI development to your terminal, transforming how teams work with large and complex codebases. It connects natively to GitHub, GitLab, and local environments, giving developers the power to search, explain, and edit code with simple prompts. Claude Code can onboard new developers by mapping entire repositories, explaining architectures, and summarizing dependencies within seconds. It also automates tedious workflows—such as issue triage, refactoring, testing, and PR submission—by turning them into single-command actions. With support for models like Claude 3.5 Sonnet and Claude 3 Opus, it delivers contextual reasoning and multi-file understanding unmatched by typical copilots. Its agentic command-line interface makes it feel like an intelligent collaborator embedded in your workflow. Integration is simple: install it via npm and start coding at “thought speed.” Claude Code helps teams move from concept to commit effortlessly, combining the familiarity of the terminal with the intelligence of Claude.
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PathSolutions TotalView
TotalView offers network monitoring as well as root-cause troubleshooting of problems in plain-English. The solution monitors every device as well as every interface on every device. In addition, TotalView goes deep, collecting 19 error counters, performance, configuration, and connectedness so nothing is outside of it’s view. A built-in heuristics engine analyzes this information to produce plain-English answers to problems. Complex problems can now be solved by junior level engineers leaving the senior level engineers to work on more strategic level projects. The core product includes everything needed to run a perfectly healthy network: Configuration management, server monitoring, cloud service monitoring, IPAM, NetFlow, path mapping, and diagramming. Get Total Network Visibility on your network and solve more problems faster.
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Fisheye
Monitor, analyze, and graphically represent modifications in your codebase. Access and report on activities while searching for commits, files, revisions, or collaborators across various systems like SVN, Git, Mercurial, CVS, and Perforce. Utilize a side-by-side or unified diff tool to examine changes and seamlessly link your Jira Software issues to diffs, changeset information, or the complete source. Obtain a visual overview of your source activity, track lines of code evolution over time, and create a visual audit trail of modifications. Stay informed about developments in your projects through activity streams that display commits, Jira Software issues, and Crucible review actions across your team. Utilize an efficient search feature to quickly locate code based on any artifact within your code, such as file names, commit messages, authors, text, and even historical alterations. Navigate, index, and search through all your source from diverse source code management systems, including SVN, Git, Mercurial, CVS, and Perforce—all consolidated within a single tool. Enhance your workflow by integrating with Jira Software, Bitbucket Server, Bamboo, and additional platforms to streamline your development process and increase productivity. This comprehensive approach ensures you have everything needed to manage and visualize your code effectively at your fingertips.
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Cody
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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