Assist in code generation, explanation, bug detection, DSL creation, and structured logic building using LLM-powered codex-style agents.
Generation, explanation and debugging of code and rule logic. In a business context the more interesting application is often the second: explaining what an existing rule, query or stored procedure actually does to someone who must maintain it.
Undocumented logic that people are afraid to change, and configuration expressed in a rule language that business users must understand.
Generating logic that will run unreviewed against production data. Generated code is a draft.
Where generated logic becomes configuration affecting financial outcomes, it goes through the same versioning and approval as any other control change.
Confidently explaining code that does something subtly different from the explanation, particularly around edge cases and null handling — where the summary is right about the common path and wrong about the exception.
Explaining, in plain language, what an inherited match rule with four nested tolerance conditions will and will not clear — so the accountant who owns it can judge whether it is still right.