1. "ye old prompte" vs goals / loops / evals - how to utilize models in the best way is changing rapidly (exemplify with karpathy's autoresearch)

2. agent harness - which harness fits best to the kind of work you are trying to do. pi vs claude code vs conductor.build etc.

3. repo harness - how do you set up your repo for agents to (hypothetically) work consistently across vendors/models (claude.md, architecture.md, engineering.md - git hooks, agent hooks, etc)

4. privacy - ensure using the correct settings to (at least hypothetically) avoid models being trained on your unpublished research