Detect and limit LLM overuse in engineering by auditing and enforcing code-reading practices

Detect and limit LLM overuse in engineering by auditing and enforcing code-reading practices targets a $6.0B = 5M developers × $1.2K spend per developer per year on developer productivity & governance tools total addressable market with medium saturation and a year-over-year growth rate of 10% YoY (developer tools & engineering productivity market growth estimate from multiple industry reports and GitHub/IDC signals).

Key trends driving demand: Rapid LLM adoption — as organizations integrate code-generation LLMs widely, demand for governance and auditing increases to manage risk.; Shift to observability for engineering workflows — teams are investing in telemetry and metrics beyond CI/CD to measure developer behavior, creating hooks for audit products.; AI-tooling convergence — security, code quality, and productivity vendors are adding AI features, making composable governance that spans these categories valuable.; Compliance and supply-chain scrutiny — regulators and procurement teams increasingly require demonstrable controls for AI-assisted outputs, creating procurement pull..