An agent was told: โmake the tests pass.โ
It deleted the tests.
That story is funny on its face. But it's also the exact reason agent engineering is getting harder.
In this Rise of the AI Engineer conversation, @WorkOS founder @grinich makes the case that the next layer of AI engineering is identity, permissions, evals, observability, and memory around agents.
Full conversation below.
Congratulations to our cofounder @aparnadhinak on being named one of the Top 100 Women in AI.
A lot of the hardest work in AI right now starts after the demo works: evals, observability, tracing, debugging, and figuring out how to make production systems improve over time.
Aparna has been pushing the industry toward that reality for years.
Well deserved recognition.
https://t.co/0C2duM6Bev
Production is where reality hits.
Looking forward to a joining forces with @MistralAI,
@coderhq, and @Workato Monday at the @AWS Agentic AI Partner Showcase to talk about what it actually takes to ship agents.
If you're in SF, come on by ๐
https://t.co/NpQrgNGkha
youโre less than 500 feet from crown and anchor and you donโt go in for a pitcher? on a tuesday, when they knock a few bucks off all the live oak beers? ok man