Most code review tools are excellent at local mistakes: an unsafe call, a weak dependency, a style violation, a missing test. Gamma is aimed at a different layer. It treats a software repository as a changing system of capabilities and asks a broader question: what structural pattern is forming across files, modules, and commits?
That distinction matters because the most expensive failures rarely live in one line. They emerge when permissions, network access, encoding, storage, and deployment logic become connected in ways no single lint rule can see. Gamma is designed to surface those relationships before they harden into incidents. It is not a replacement for compilers, linters, or dependency scanners — it is a companion layer for teams that already use those and still need to reason about architecture-level risk.
The strongest story for Gamma is not a secret mechanism. It is discipline. The project keeps a clear boundary between what it detects, what it only suggests, and what must be verified by a human. It produces reviewable, auditable outputs that fit modern code-scanning pipelines, while staying cautious about false positives.
In practice, Gamma helps teams see how a codebase is drifting: which parts are becoming too coupled, which capabilities are starting to combine, which areas deserve review before the next release. Less a “find bugs” product, more an architectural early-warning instrument.
The most expensive failures rarely live in one line.