Policy-aware refactor assistant — detect & rewrite AI-blocking prompts

Policy-aware refactor assistant — detect & rewrite AI-blocking prompts targets a $24.0B = 30M developers x $800 ARR per developer (tooling + enterprise integrations) total addressable market with medium saturation and a year-over-year growth rate of 18% (developer tooling + AI ops convergence).

Key trends driving demand: AI copilots in IDEs -- more devs rely on LLMs, exposing more policy-driven interruptions that reduce productivity.; AI observability -- better logging and prompt telemetry make it possible to detect, categorize, and remediate blocks automatically.; Enterprise governance -- companies require auditable AI workflows and safe-handling of PII, creating demand for middleware.; Synthetic data & privacy tooling -- synthetic substitution reduces policy friction while preserving refactor fidelity..