Software teams are spending less time asking “why isn’t this working?” and more time asking “how do we make this better?”, and debating the bigger ideas.
For SaaS products, `UI <> Agent Platform <> Backend` is such a stack the right way to build. An light agent system that knows every data passing through, what user sees, and has this context when asked for action/help, becoming an all knowing assistant right there.
Like kernel fusion ops done for ML model inferencing on GPUs, might need tool fusions on agentic systems to optimize tools usage, token counts, speed and maybe also quality.
That needs observability stack for query > tool calls mapping, find bottlenecks, create eval sets.
