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Prilog is an AI remediation and observability workflow platform designed to help engineering teams turn recurring production issues into reviewable fixes. It connects production logs and traces from observability tools with code repositories, then maps incidents to the relevant service, file path, and deploy context so teams can understand where a problem is coming from.
The app can draft review-ready pull request changes, attach rationale and risk context, and route follow-up work into existing engineering workflows such as GitHub Issues, Jira, or Linear. It is built for teams that want to reduce debugging time, improve incident response, and keep human approval in the remediation process.
Prilog supports common infrastructure and development tools, including cloud platforms, observability systems, and source control providers. It also emphasizes tenant-scoped data handling, encryption, and controlled access to sensitive information, making it suitable for organizations that need structured production issue management, AI-assisted code fixes, and remediation workflow automation.
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