2 boosters for "llm-orchestration" — open source, verified from GitHub, ready to install
1. Maintainability over Speed: Prioritize long-term code health over initial development velocity 2. Simplicity First: Choose the simplest solution that meets requirements (YAGNI principle) 3. Explicit over Implicit: Make intentions clear through code structure and naming
"version": "0.4.33", "description": "Scientific research agent extension - turns research goals into reproducible Jupyter notebooks with Python REPL, data analysis, and ML workflows", "name": "Yeachan Heo",
