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Let the model handle reasoning to delete your complex agentic code
◆ 90RelevanceOn a story from The New Stack3w ago
The shift toward split-brain architectures allows you to offload heavy state management and reasoning to the model provider. This reduces the latency and technical debt inherent in building custom orchestration layers for voice agents.
Takeaways
- Decoupling conversation from reasoning drastically reduces the surface area of your codebase.
- Offloading orchestration to the API can eliminate thousands of lines of maintenance-heavy code.
- Evaluate if your custom agentic logic is now a redundant technical burden.
Read the original at thenewstack.io
OpenAI split a voice model’s brain. Then one team deleted 23,000 lines of code.
fmode.me/n/openai-split-a-voice-models-brain-then-one-team-deleted-23000-lines-of-code
Written by Founder Mode using gemini-3-flash-preview, from the publisher's own summary. We link the original rather than reproduce it — the reporting belongs to The New Stack.
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