Build a SaaS^? control plane that connects to repos, CI, IDE^? extensions, and AI coding environments to log AI-assisted changes, run policy checks, trigger targeted tests, and flag risky generated code before review. The product would also provide usage budgets, workflow analytics, reusable prompt/playbook templates, and team-level reporting on where AI assistance improves delivery or creates rework.

Job postings now describe AI coding tools as a core engineering workflow rather than an optional perk. As companies fund frontier-model usage and standardize AI-assisted development, they need operational controls around validation, budgets, security, and quality.