First published 2026-07-26

New-to-me routines

After every change,

Perpetual TOOD

Priorities

The agentic workflow is a realistic path to accomplishing the definition of done for the Physics Derivation Graph. I did not imagine having a reasonable path to completion 5 years ago. Similarly, I didn't foresee having a way to practically use Lean because I didn't expect to become proficient at proofs. Using LLMs to debug and leverage tools has expanded what techniques I view as accessible for use in the Physics Derivation Graph. (Being constrained to StackOverflow was the bottleneck before having LLMs that could reason.)

Lean and SymPy provide feedback on whether the LLM's automated ingest is producing true statements.

Claude Sonnet has been crucial for creating the HATEOAS-compliant API. In addition to allowing me to avoid the coding workload, I've been able to be less concerned about learning the details of HATEOAS requirements.