AI agents need infrastructure (and that's now your problem)

The AI industry has rapidly advanced, with tools like Jules, Codex, and Ona emerging that can autonomously handle complex coding tasks in the background. These agents work independently, taking on tasks such as refactoring legacy code, updating documentation, and fixing bugs, but they require robust infrastructure and processes to function securely within enterprise environments. Evaluating these tools requires consideration of security, auditing, and integration with existing systems, and platforms must ensure their source code leaves no network exposure. The emergence of these background agents is upon us, and platform engineers have a choice: either drive this change and shape the developer experience or risk being seen as laggards who slow down progress.

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