Showing 2 open source projects for "ai coding model"

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  • Build Data Resilience - Take the Assessment Today Icon
    Build Data Resilience - Take the Assessment Today

    Can you recover when it matters most? Take this quick assessment to identify gaps and build greater recovery confidence.

    Is your recovery strategy as strong as you think? Take this quick self-assessment to check your recovery readiness and gain tailored insights. In only 2 minutes, you'll learn where you fall on the recovery readiness scale.
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  • Paessler: Easy to Use With Enterprise Power. Free Trial Icon
    Paessler: Easy to Use With Enterprise Power. Free Trial

    A low-code dashboard makes monitoring intuitive for any admin, while scripting and custom sensors give experts full control.

    You shouldn't have to choose between a monitoring tool that's easy to use and one that's powerful enough for a complex environment. PRTG's low-code interface lets any admin build dashboards, set alerts and monitor devices without scripting, while custom sensors and full API access are there when your team needs deeper control. One platform, no compromise. Download a free 30-day trial now.
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    git push no-mistakes

    git push no-mistakes

    git push no-mistakes

    git push no-mistakes is a Git workflow tool that places a local validation gate in front of a real remote repository. Instead of pushing directly to origin, the user pushes to a no-mistakes remote. The tool creates a disposable worktree, runs an AI-driven validation pipeline, and only forwards the branch after every check passes. Its pipeline can review, test, check documentation, run linting, push the branch, open a pull request, watch CI, and apply safe automatic fixes. It supports coding agents such as Claude, Codex, Rovo Dev, OpenCode, Pi, and ACP-based targets through acpx. ...
    Downloads: 51 This Week
    Last Update:
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  • 2
    GitButler

    GitButler

    The GitButler version control client, backed by Git

    ...It keeps Git compatibility at the core, meaning your work still maps to commits, branches, and pushes to standard Git servers, but it rethinks how you interact with that underlying model. The project is designed around developer productivity, emphasizing smoother workflows for handling multiple streams of work, reviewing changes, and recovering from mistakes without the usual friction. It also positions itself for AI-assisted development patterns, where tooling needs to support rapid iteration and parallel work while staying understandable and reversible. ...
    Downloads: 0 This Week
    Last Update:
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