News and updates
Product notes, release-readiness updates, docs changes, and staged commerce announcements for the suite.
The most useful lesson from the eight-week run was that technical trust comes from clarity and honest limits more than from louder claims.
By Agent Software
The future of AI coding looks less like one perfect agent and more like a stack of infrastructure layers that make agents usable.
By Agent Software
The interface problem is not cosmetic. It determines whether human oversight is practical or exhausting.
By Agent Software
MCP can improve interoperability, yet teams still need clear thinking about trust, workflow boundaries, and system behavior.
By Agent Software
The right argument for local models is selective advantage, not the claim that they already dominate every serious engineering task.
By Agent Software
The limit is not that models are useless. The limit is that some engineering work still depends on judgment, trust, and changing context.
By Agent Software
The gap between agent demos and production workflows comes from context quality, task realism, and the absence of repeatable evaluation.
By Agent Software
Agent memory remains unsolved around freshness, contradiction, and trust boundaries even when retrieval quality improves.
By Agent Software