
Anastasiia Harkot enhanced bug reporting workflows for the epam/ai-dial-admin-frontend and epam/ai-dial-admin-backend repositories by designing and implementing improved bug report templates. She focused on template design and user experience, using YAML and documentation skills to add structured fields that guide users in providing richer context and essential details. Her changes enabled more efficient issue triage by reducing ambiguity and minimizing follow-up questions, ultimately streamlining the reporting and remediation process. The work was scoped to targeted, low-risk updates over two months, demonstrating depth in template-driven process improvement and a clear understanding of issue tracking best practices in collaborative environments.
March 2026 (2026-03) – Backend-focused improvement in EPAM AI DIAL Admin to enhance bug reporting workflows. The work centered on epam/ai-dial-admin-backend and aimed at improving issue reporting clarity, structure, and triage guidance to speed reproduction and reduce back-and-forth during triage.
March 2026 (2026-03) – Backend-focused improvement in EPAM AI DIAL Admin to enhance bug reporting workflows. The work centered on epam/ai-dial-admin-backend and aimed at improving issue reporting clarity, structure, and triage guidance to speed reproduction and reduce back-and-forth during triage.
January 2026 monthly summary for epam/ai-dial-admin-frontend. Focused on enhancing the bug reporting flow to improve issue triage quality and context gathering with minimal risk changes.
January 2026 monthly summary for epam/ai-dial-admin-frontend. Focused on enhancing the bug reporting flow to improve issue triage quality and context gathering with minimal risk changes.

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