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Offload low-level optimization to agents while maintaining human deployment gates
◆ 85RelevanceOn a story from The New Stack4h ago
This shifts the engineering bottleneck from manual code optimization to human-led verification of agentic output. You can now use agents for specialized performance tuning of low-level kernels while your team sleeps. It changes how you allocate senior engineering time toward auditing rather than initial implementation.
Takeaways
- Agents are moving from high-level app code to low-level infrastructure tuning.
- Overnight optimization cycles can significantly accelerate your hardware performance roadmap.
- Human-in-the-loop remains mandatory for deploying agent-generated production infrastructure.
Read the original at thenewstack.io
Together AI let coding agents rewrite its GPU code. Then it kept humans on the deploy button.
fmode.me/n/together-ai-let-coding-agents-rewrite-its-gpu-code-then-it-kept-humans-on-the-deploy-button
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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