Showing 3 open source projects for "engineer"

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    Train ML Models With SQL You Already Know

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    Transform your applications and workflows into powerful agentic systems at global scale.

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    AI Engineer Coach

    AI Engineer Coach

    Better agentic engineering

    AI Engineering Coach is a Microsoft VS Code extension for analyzing AI coding assistant usage across local session logs. It is designed to help developers improve how they work with tools such as VS Code, Claude, Codex, OpenCode, GitHub Copilot for Xcode, and Copilot CLI. The extension reads local logs and turns them into dashboards, practice scores, trends, anti-pattern detection, and actionable feedback. It focuses on agentic engineering habits such as prompt quality, context management,...
    Downloads: 0 This Week
    Last Update:
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  • 2
    OpenHands

    OpenHands

    Open-source autonomous AI software engineer

    Welcome to OpenHands (formerly OpenDevin), an open-source autonomous AI software engineer who is capable of executing complex engineering tasks and collaborating actively with users on software development projects. Use AI to tackle the toil in your backlog, so you can focus on what matters: hard problems, creative challenges, and over-engineering your dotfiles We believe agentic technology is too important to be controlled by a few corporations.
    Downloads: 43 This Week
    Last Update:
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  • 3
    pua

    pua

    Your AI has been placed on a PIP. 30 days to show improvement

    pua is a high-agency AI skill or plugin designed for use within agent-based coding environments, particularly those like Claude Code, where modular “skills” extend the behavior and capabilities of AI assistants. The project frames the AI as an underperforming senior engineer under evaluation, introducing a strong motivational and behavioral prompt layer that encourages proactive problem-solving and initiative. Rather than adding new technical capabilities, PUA focuses on shaping how the AI approaches tasks, pushing it toward more assertive, autonomous, and results-driven outputs. It is designed to influence decision-making patterns, encouraging the AI to take ownership of tasks, iterate aggressively, and prioritize delivering meaningful outcomes within constrained timeframes.
    Downloads: 2 This Week
    Last Update:
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