Ship full‑stack features faster by orchestrating 16 specialist AI roles

Ship full‑stack features faster by orchestrating 16 specialist AI roles targets a $40.0B = 25M professional developers x $1,600 ARPU/year total addressable market with medium saturation and a year-over-year growth rate of 25% CAGR for AI developer tools and automation.

Key trends driving demand: LLM-specialization -- developers are moving from generic prompts to narrow, role-specific agents which produce higher-quality outputs and predictable interfaces.; Editor-to-cloud workflows -- IDEs integrated with cloud runtimes allow instant test/deploy cycles, enabling single-session feature shipping.; Composable AI tooling -- plugin ecosystems and tool invocation APIs let orchestrators chain multiple specialist models and external services reliably..