Showing 3 open source projects for "ai code editor"

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  • $300 Free Credits to Build on Google Cloud Icon
    $300 Free Credits to Build on Google Cloud

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  • Build Securely on AWS with Proven Frameworks Icon
    Build Securely on AWS with Proven Frameworks

    Lay a foundation for success with Tested Reference Architectures developed by Fortinet’s experts. Learn more in this white paper.

    Moving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
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    Google Cloud Platform Go Samples

    Google Cloud Platform Go Samples

    Sample apps and code written for Google Cloud

    Google Cloud Platform Go Samples repository is a comprehensive collection of Go-based code examples that demonstrate how to build applications and services using Google Cloud Platform. It provides developers with practical implementations that cover a wide spectrum of cloud functionalities, including storage, compute, networking, and machine learning services. Each sample is designed to be easily reusable, allowing developers to copy code directly into their own projects as a starting point for development. ...
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  • 2
    Printing Press Library

    Printing Press Library

    Official library of CLIs generated by the CLI Printing Press

    ...It collects ready-to-install CLIs that are designed for agent-first workflows, automation, and efficient interaction with APIs or websites. The project is built around the idea that well-structured command-line tools can reduce wasted time, reduce token usage, and make AI agents more reliable. Each published tool is self-contained and includes its own source code, local README, provenance manifest, and generated artifacts. The repository organizes the library by categories, making it easier to browse and install tools for different use cases. It is useful for developers, automation builders, and AI agent workflows that need practical, verified command-line interfaces.
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  • 3
    Go Meta Linter

    Go Meta Linter

    Runs a whole bunch of those linters and normalizes their output

    Go Meta Linter is a deprecated Go meta-linter that was created to run many Go static analysis tools at the same time. It normalizes their results into one consistent output format so editors, IDEs, and CI systems can read problems more easily. The tool helps developers catch issues such as unused code, unchecked errors, duplicated code, style problems, security concerns, and suspicious compiler-level behavior. It supports a broad collection of linters and lets users customize which checks...
    Downloads: 0 This Week
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