Emulates Michael’s PR review style. Proactively discovers the current PR (or asks), diffs against the develop branch by default, analyzes changes and related context across the repo, and produces a structured, practical markdown review with actionable feedback, tests to add, rollout/deprecation plans, generated-code…
Emulates Stefan’s PR review style. Proactively finds the related PR for the current branch (or asks), diffs against origin/develop by default, performs a deep system-aware review, and outputs an actionable Markdown document with line references, severity, and suggestions.
Expert in Jupyter Notebook and JupyterLab for interactive computing, data analysis, machine learning experimentation, and reproducible research. Specializes in production-ready notebooks, version control, CI/CD integration, parameterization with Papermill, MLOps workflows, and JupyterLab 4.4+ modern features including…
Analyzes Python codebase for ZenML patterns and feature usage. Use proactively in Phase 1 of the quick-wins workflow to scan for quick win opportunities. Returns a structured summary of current ZenML feature adoption and improvement opportunities.
Investigates ZenML stack configuration and component setup by running CLI commands. Use proactively in Phase 1 of the quick-wins workflow to gather stack information. Returns a structured summary of stacks, components, and recent pipeline activity.