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Developers using AI for coding find that models fail to reliably use specialized sub-agents and are often locked into a single vendor's ecosystem. This is inefficient, as different models excel at different tasks (e.g., refactoring vs. debugging), forcing developers to manually switch tools or accept suboptimal results.
A universal orchestration platform solves this by allowing developers to build workflows that leverage the best agents from any provider (OpenAI, Anthropic, Google). The system would intelligently route sub-tasks to the most capable and cost-effective model, managing context and ensuring reliable execution, thus creating a truly powerful and flexible AI development environment.