Graph Neural Networks (PyG). Node/graph classification, link prediction, GCN, GAT, GraphSAGE, heterogeneous graphs, molecular property prediction, for geometric deep learning.
WHAT YOU BECOME
Perfect for these scenarios
Reviews tasks within a story, ensuring ACs and technical approach alignment.
Verifies test cases cover risk-based scenarios and meet quality standards.
Provides clear rework notes or fixes for tasks failing review.
Ensures task-related docs are complete, accurate, and up-to-date.
MEASURED GAIN
Proven benefits and measurable impact
Cuts task review time by half with automated checks and feedback.
Reduces rework cycles by providing precise, actionable feedback.
Accelerates story completion with efficient task review and fixes.
WHAT YOU GET
Files, tags and the three-step install
Tip: Read the documentation and the code before first use, so you know what it does and which permissions it needs.
NEXT SCRIPTS
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