blizhan

Use when creating, auditing, or planning migration for Hydra + PyTorch Lightning ML repositories that should log to Aim, expose Aimx-readable experiment evidence, or use configurable datamodules/models/plmodules/callbacks/loggers.

Use when autoresearch, log_experiment, experiment analysis, or automatic iteration workflows need to inspect local Aim repositories with aimx, collect run params, metric summaries, traces, image evidence, compare training runs, or summarize model results without mutating Aim data.

Production-ready project foundation in 5-8 hours. Architecture-driven human-AI pair programming workflow for bootstrapping greenfield projects with clean architecture, comprehensive tests, and documentation. Use when (1) starting new projects from scratch, (2) user says "let's build X from scratch", "help me architect", "pair program with me", (3) need structured foundations. NOT for quick fixes, single-file changes, or existing codebase modifications.