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Copilot AI commented Jan 16, 2026

Analyzed the DarkStream distributed video converter codebase and documented actionable improvements organized by priority and domain.

Categories covered

  • Core Architecture - inotify file watching, worker auth, job priority queue, graceful shutdown
  • Security - API authentication, HTTPS, rate limiting, path traversal hardening
  • Monitoring - Prometheus metrics, Grafana dashboards, OpenTelemetry tracing
  • Video Processing - input validation, progress reporting, AV1/WebM support, thumbnails
  • CLI - interactive mode, JSON output, shell completion
  • Deployment - Kubernetes manifests, ARM64 builds, Docker health checks
  • Testing - coverage targets, integration tests, fuzzing, load tests
  • Performance - connection pooling, job polling optimization, chunked streaming

Structure

Each section uses High/Medium/Low priority tiers. Known issues and a version roadmap (v1.1, v1.2, v2.0) are included at the end.

Original prompt

analyze the codebase of this project and make me a todo.md file


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Co-authored-by: darkace1998 <32885015+darkace1998@users.noreply.github.com>
Copilot AI changed the title [WIP] Create todo.md file based on codebase analysis Add TODO.md with codebase improvement roadmap Jan 16, 2026
Copilot AI requested a review from darkace1998 January 16, 2026 23:08
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