Detect unreachable logic, unused APIs & stale flags with LLM-assisted analysis

Detect unreachable logic, unused APIs & stale flags with LLM-assisted analysis targets a $15.0B = 23M professional developers x $650/year spent on dev-tools & code-quality solutions total addressable market with medium saturation and a year-over-year growth rate of 15% YoY (developer tools & dev-experience segment).

Key trends driving demand: LLM-code reasoning -- modern LLMs can infer semantics across files and identify unused business logic that syntactic tools miss; Shift to microservices & APIs -- more distributed code with many integration points increases dead-code prevalence; Developer experience tooling -- companies invest in dev velocity and automated maintenance to reduce burn and improve deployments; Observability + telemetry fusion -- runtime signals allow correlation of code paths with actual usage to validate dead-code claims.