The non-thinking Kimi K2 is on Vertex AI, so it's just a matter of time before it appears there. Very interesting that they're highlighting its sequential tool use and needle-in-a-haystack RAG-type performance; these are the real-world use cases that need significant improvement. Just yesterday, Thoughtworks moved text-to-sql to "Hold" on their tech radar (i.e. they recommend you stop doing it).
Thanks, I didn't realize Thoughtworks was staying so up-to-date w/ this stuff.
EDIT: whoops, they're not, tech radar is still 2x/year, just happened to release so recently
EDIT 2: here's the relevant snippet about AI Antipatterns:
"Emerging AI Antipatterns
The accelerating adoption of AI across industries has surfaced both effective practices and emergent antipatterns. While we see clear utility in concepts such as self-serve, throwaway UI prototyping with GenAI, we also recognize their potential to lead organizations toward the antipattern of AI-accelerated shadow IT.
Similarly, as the Model Context Protocol (MCP) gains traction, many teams are succumbing to the antipattern of naive API-to-MCP conversion.
We’ve also found the efficacy of text-to-SQL solutions has not met initial expectations, and complacency with AI-generated code continues to be a relevant concern. Even within emerging practices such as spec-driven development, we’ve noted the risk of reverting to traditional software-engineering antipatterns — most notably, a bias toward heavy up-front specification and big-bang releases. Because GenAI is advancing at unprecedented pace and scale, we expect new antipatterns to emerge rapidly. Teams should stay vigilant for patterns that appear effective at first but degrade over time and slow feedback, undermine adaptability or obscure accountability."
https://www.thoughtworks.com/radar