InfoQ's coverage of platform artificial intelligence captures a shift developers are already feeling: agents are becoming an application layer that combines semantic search, data tools, code execution, and workflow orchestration.
That matters because the agent platform determines how models touch real systems. The hard work is not only prompting; it is permissions, retrieval, context, observability, error handling, and handoffs across tools.
For engineering teams, the question is whether to build on a managed agent platform or assemble their own stack. The answer will depend on trust, control, integration depth, and whether the platform makes failures visible enough to debug.
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