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Infrastructure, not LLM performance, defines your agent’s production readiness
◆ 85RelevanceOn a story from The New Stack1mo ago
Prototyping an agent is easy, but scaling requires shifting engineering focus from prompt engineering to rigorous systems architecture. You must treat tool contracts and permissions as core product features rather than afterthoughts to ensure enterprise reliability.
Takeaways
- Define strict tool contracts to prevent unpredictable agent behavior in production.
- Implement granular permissions and tracing before moving beyond the demo phase.
- Invest in robust guardrails to manage the inherent non-determinism of agentic workflows.
Read the original at thenewstack.io
Your AI agent is only as good as the harness around it
fmode.me/n/your-ai-agent-is-only-as-good-as-the-harness-around-it
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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