Prevent AI from rewriting trusted code — selective AI assistance

Prevent AI from rewriting trusted code — selective AI assistance targets a $18.0B = 25M developers x $720/year avg spend on dev tools & AI assistants total addressable market with medium saturation and a year-over-year growth rate of 22% CAGR for AI-assisted developer tools and code governance solutions.

Key trends driving demand: LLM-driven developer tools -- rapid adoption of in-editor AI assistance is increasing accidental/automated code changes.; Enterprise governance demand -- security, compliance, and IP concerns push firms to require provenance and policy controls for AI outputs.; Shift-left security & supply-chain focus -- companies want to prevent risky changes earlier in the dev flow rather than fixing later.; Hybrid on-prem/cloud models -- privacy and IP needs make hybrid deployments attractive for enterprise tooling..