What's the biggest bottleneck when your agent generates code?

I run a company that builds AI agent teams and workflows for law firms and accounting firms. Our agents generate a lot of code — API integrations, document processors, workflow automations.

In another company, we use agents to help us write a lot of code to build apps for startups.

The biggest bottleneck I keep seeing is token limits and context window waste. Agents spend most of their output on boilerplate, imports, and language ceremony that doesn't add logic value.

Curious what others are seeing. What's your biggest friction point when agents write code?