Why proof needs to travel with the code
When code is produced by an agent, the review burden shifts from understanding a human author’s intent to verifying a machine’s claim. Evidence should travel with the change, not live only in a chat transcript.
The practical first step is a compact completion receipt that maps task intent to real repository evidence.
What counts as proof in everyday engineering
Formal proof is powerful but not available for every change. For most teams, proof starts with traceability: requirement mapping, tests that exercise real behavior, risk classification, and explicit unknowns.
FeelGoot is designed for that pragmatic proof layer around agent-created code.
A path toward higher assurance
As coding agents handle more production work, teams can add stronger evidence types over time: property tests, formal checks, security scans, runtime traces, and domain-specific acceptance gates.