How to solve the AI paradox in software development with intelligent orchestration

Three AI models crossing a capability threshold in late 2025 accelerated AI use in coding across startups and organizations.

AI can write most code quickly, but coding is only about 52 minutes per day, creating downstream bottlenecks in review, testing, and deployment.

The core problem is fragmentation: separate AI agents, siloed context, uneven trust, regulatory demands, and budget fragmentation limit AI's value.

A unified platform with intelligent orchestration and a shared execution environment can carry context across the lifecycle and enforce policies and compliance.