Reporting also caught my attention. Insights is the first time I have seen Pega present reporting in a way that feels more intentionally business-facing, rather than just another technical reporting capability. I have not gone deep enough to judge it fully, but it stood out.
On the server side, another shift seems sensible: capabilities like search and stream processing are increasingly treated as external infrastructure concerns rather than things Pega should fully own. That makes architectural sense. If those capabilities depend on technologies like Elasticsearch or Kafka, it is cleaner to let specialized infrastructure do that work rather than hide it under the platform.
I was also hopeful about Pega’s AI direction.
From what I have seen, Pega now has more explicit concepts around GenAI, including Connect Generative AI, Agents, and Tools. That signals a platform trying to formalize how LLM-driven behavior fits into case processing and automation. Conceptually, that is promising.
But I still have to complain about one thing: the lack of detailed developer how-to guidance.
This is where Pega still frustrates me.
There is enough material to show that the features exist. There are pages, overviews, learning modules, and product messaging. But when it comes to practical implementation details, especially for scenarios slightly outside the happy path, the guidance still feels thin.
A good example is external LLM integration. I was trying to understand how to connect an LLM provider outside the standard, Pega-supported list. Something like Grok, for example, instead of the usual major providers. I found hints and community discussion, but not the kind of direct, grounded documentation that gives confidence. For a platform that increasingly wants to talk about AI, that gap matters.
So overall, yes, things have changed.
Pega has moved forward in meaningful ways. Launchpad is an interesting strategic move. Blueprint is far more ambitious than the setup tools Pega used to offer. Constellation is now the center of gravity whether older developers like it or not. Security is more layered and more explicit. The AI direction is clearer than before.
At the same time, some familiar frustrations remain: vague pricing language, patchy implementation guidance, and the sense that some important details are still harder to find than they should be.
Maybe that is the most honest conclusion.
Pega still feels like an old friend. Familiar, capable, opinionated, useful, and occasionally maddening.
I guess I will check again sometime in the future.
I’ll see you around, Pega.