Stop mediocre AI code answers — add context-aware tests + expert feedback targets a $12.5B = 25M developers x $500 ACV total addressable market with medium saturation and a year-over-year growth rate of 28% (developer tools + AI tooling combined).

Key trends driving demand: LLM-code capabilities -- higher-quality base models lower latency and token costs, enabling runtime verification and iterative repair.; Shift to AI-first dev workflows -- teams are adopting AI in IDEs and CI, creating demand for trustworthy, auditable code-generation.; Tooling consolidation -- firms prefer integrated CI/CD-safe assistants rather than standalone generators, favoring products that prove correctness.; Observability + telemetry -- growing investment in developer telemetry allows fine-grained signal collection to train and improve repair models..