Fix cross-file AI generated codebases with automated architecture repair

Fix cross-file AI generated codebases with automated architecture repair targets a $6.0B = 200,000 software companies x $30,000 ACV. Assumes global software product teams that occasionally buy deep remediation or platform subscriptions for code health at enterprise/SMB scale. total addressable market with medium saturation and a year-over-year growth rate of 12-18% annual growth for developer tooling and maintenance spend driven by AI adoption.

Key trends driving demand: AI code generation adoption -- increases frequency of syntactically correct but architecturally inconsistent code, raising demand for integration-level remediation.; Shift from one-off outsourcing to productized developer tooling -- founders prefer predictable, repeatable subscriptions over ad hoc consulting.; Platformification of developer workflows -- CI, language servers, and code mods make automated refactors and CI gates technically feasible at scale..