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DevOps Engineer Builds AI-Assisted Release Review Tool Using GitHub Actions and Microsoft Foundry

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A DevOps engineer has built a proof-of-concept system that uses GitHub Actions and Microsoft Foundry to bring AI assistance into software release review workflows. The experiment explores how an AI agent can analyze release evidence, flag risks, and prepare better questions for human reviewers without replacing human approval authority. The implementation uses a Python script to generate risk scores from predefined test scenarios, while a separate Microsoft Foundry agent reviews the same evidence independently in a playground environment. Crucially, the AI recommendation does not feed back into the automated workflow in this version, and production deployments still require manual human approval via GitHub environment protection rules. The author shared the project as a practical foundation for agent-assisted DevOps pipelines, noting several gaps that would need to be addressed before the approach could be used in production.

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