Showing 3 open source projects for "job"

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  • 1
    Continue

    Continue

    Continue is the leading open-source AI code assistant

    ...You can connect any models and any context to build custom autocomplete and chat experiences inside VS Code and JetBrains. Continue enables you to use the right model for the job, whether it's open-source or commercial, running local or remote, and used for chat, autocomplete, or embeddings. And we provide numerous points of configuration so that you can customize the extension to fit into your existing workflows.
    Downloads: 66 This Week
    Last Update:
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  • 2
    Ponytail

    Ponytail

    Makes your AI agent think like the laziest senior dev in the room

    ...Before generating new code, it encourages the agent to check whether the feature is necessary, whether the standard library already solves it, whether the platform has a native capability, or whether an existing dependency can do the job. The project supports several agent environments, including Claude Code, Codex, GitHub Copilot CLI, OpenCode, Gemini CLI, and other instruction-based editors through copied rules files. It includes commands for changing intensity, reviewing diffs, auditing repositories, and tracking deferred shortcuts. It is useful for developers who want AI coding tools to act more like pragmatic senior engineers and less like generators of unnecessary abstractions.
    Downloads: 19 This Week
    Last Update:
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  • 3
    AWS Copilot CLI

    AWS Copilot CLI

    The AWS Copilot CLI is a tool for developers to build, release apps

    ...Instead of modeling individual resources, Copilot provides common cloud architectures, request-driven web service, load-balanced web service, backend service, worker service, and scheduled job. The necessary infrastructure is generated from the chosen pattern. Focus your time on writing business logic instead of connecting AWS resources. No need to worry about gluing Copilot commands in a script to create an automated release process. Copilot provides commands to create multiple deployment environments in separate AWS accounts and regions, as well as creating an AWS CodePipeline pipeline to build your container images.
    Downloads: 0 This Week
    Last Update:
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