Production infrastructure was built around determinism. Agents are built around probability. When we collapse reasoning and execution into the same layer, we get outages we can't reproduce and policy violations we can't explain.
Your agent-powered deployment pipeline approved a PR, merged it to main, triggered a rollout, and took down staging.
The most common failure mode I've seen is brutal in hindsight: months spent making the wrong thing better. Guild.ai CEO James Everingham shares five principles for finding product–market fit faster — from designing to 50% to debugging products into existence.
AI agents are multiplying across the enterprise. But most organizations have no idea how many are running, who owns them, or what they cost. This is shadow AI, and it's the new shadow IT.
In 2008, sharing code meant emailing zip files. GitHub didn't just host repositories — it created network effects that made collaboration the default. AI agents are at that same inflection point. Here's what GitHub for agents actually looks like.
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