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    GitHub’s September 2026 enterprise roundup focuses on AI-assisted engineering

    GitHub urges enterprise leaders to measure AI adoption by outcomes rather than output, and to build quality, security and human approval into AI-assisted workflows.

    1 Source, 15d ago, first seen 15d ago

    TLDR

    GitHub says its September 2026 Monthly Enterprise Roundup explores how its Agentic Engineering System can accelerate software delivery while maintaining quality, security, governance and human oversight. Its three priorities for enterprise leaders are building an agentic engineering operating model, measuring adoption by outcomes rather than output, and embedding safeguards and human approval into AI-assisted workflows. The edition also highlights Project HydraFusion and Copilot’s expanding agent, app and collaboration experiences.

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    1 Source

    @GitHubEntThe September 2026 GitHub Monthly Enterprise Roundup is now available. Explore how GitHub’s Agentic Engineering System helps enterprise teams use AI to accelerate software delivery while maintaining quality, security, governance, and human oversight. This edition also highlights Project HydraFusion, along with Copilot’s expanding agent, app, CLI, SDK, IDE, and collaboration experiences. We cover three priorities for enterprise leaders: • Build an agentic engineering operating model • Measure adoption by outcomes, not output • Embed quality, security, and human approval into AI-assisted workflows Scale a more productive, secure, and resilient engineering system. https://github.com/resources/insights/enterprise-content-roundup-september-26

    1 Source

    @GitHubEntThe September 2026 GitHub Monthly Enterprise Roundup is now available. Explore how GitHub’s Agentic Engineering System helps enterprise teams use AI to accelerate software delivery while maintaining quality, security, governance, and human oversight. This edition also highlights Project HydraFusion, along with Copilot’s expanding agent, app, CLI, SDK, IDE, and collaboration experiences. We cover three priorities for enterprise leaders: • Build an agentic engineering operating model • Measure adoption by outcomes, not output • Embed quality, security, and human approval into AI-assisted workflows Scale a more productive, secure, and resilient engineering system. https://github.com/resources/insights/enterprise-content-roundup-september-26