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Why AI Infrastructure must evolve for Agent Experience — Akshat Bubna, Modal CTO
agentictool-use
What happened
Modal CTO Akshat Bubna outlines the shift from Developer Experience (DX) to Agent Experience (AX) in cloud infrastructure. Traditional infrastructure is designed for human developers who can interpret vague errors and configure YAML. In contrast, AI agents require programmatic infrastructure: fast-booting, isolated sandboxes where they can write, execute, inspect, and debug code with tight, structured feedback loops that the LLM can autonomously parse and act upon.
Why it matters
Reliable agentic coding and tool execution require moving away from human-centric DevOps tools toward programmatic, agent-native runtimes.
The take
This interview highlights a fundamental shift in how we must build infrastructure for LLMs. If your agent is writing and running code, standard container deployments are too slow and opaque. To make agents reliable, we must treat the runtime environment as a first-class tool, providing the agent with sub-second sandbox provisioning and highly structured execution context so it can self-correct when code fails.
Do this
Review your agent's execution environment and ensure it provides structured, LLM-friendly error logs and rapid execution feedback to facilitate automated self-correction.
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