
Michał Mienko developed five core features for the Selleo/lms-core repository over two months, focusing on both user experience and developer workflow. He implemented role-based quiz feedback visibility and enhanced email notification templates using React and TypeScript, improving communication and interface clarity. Michał also introduced automated PR preview environments with GitHub Actions and Docker, enabling isolated deployments and reliable cleanup to streamline code review. Additionally, he built an AI mentor loading progress loader and SEO-friendly slug-based course URLs, leveraging Node.js and PostgreSQL. His work demonstrated depth in full stack development, maintainability, and collaborative engineering practices without major bug fixes required.
January 2026 ( Selleo/lms-core ): Delivered three core features focused on developer velocity, UX, and searchability, while hardening CI reliability through cleanup fixes. Key outcomes include faster PR validation, improved user feedback during initialization, and easier course discovery for users. - Automated PR Preview Environments: Introduced GitHub Actions workflows to deploy and manage isolated PR environments with per-environment DB resets and service isolation, plus robust cleanup. This reduces PR validation time and prevents cross-PR interference. Commits illustrate enabling and cleanup improvements. - AI Mentor Loading Progress Loader: Added a loader component that presents a sequence of progress messages during the AI mentor’s loading phase to improve perceived performance and user feedback. - SEO-friendly Course URLs (Slug-based Access): Implemented slug-based URLs for courses with slug generation and lookup support to improve shareability and searchability. Additionally, PR preview environments cleanup improvements fixed stale resources and ensured reliable teardown.
January 2026 ( Selleo/lms-core ): Delivered three core features focused on developer velocity, UX, and searchability, while hardening CI reliability through cleanup fixes. Key outcomes include faster PR validation, improved user feedback during initialization, and easier course discovery for users. - Automated PR Preview Environments: Introduced GitHub Actions workflows to deploy and manage isolated PR environments with per-environment DB resets and service isolation, plus robust cleanup. This reduces PR validation time and prevents cross-PR interference. Commits illustrate enabling and cleanup improvements. - AI Mentor Loading Progress Loader: Added a loader component that presents a sequence of progress messages during the AI mentor’s loading phase to improve perceived performance and user feedback. - SEO-friendly Course URLs (Slug-based Access): Implemented slug-based URLs for courses with slug generation and lookup support to improve shareability and searchability. Additionally, PR preview environments cleanup improvements fixed stale resources and ensured reliable teardown.
Month: 2025-12 — Delivered two high-impact features in Selleo/lms-core that improve user control and email presentation, delivering clear business value through enhanced user experience and communications. No major bugs fixed this month. Focused on maintainability, clean UX, and collaboration across the team.
Month: 2025-12 — Delivered two high-impact features in Selleo/lms-core that improve user control and email presentation, delivering clear business value through enhanced user experience and communications. No major bugs fixed this month. Focused on maintainability, clean UX, and collaboration across the team.

Overview of all repositories you've contributed to across your timeline