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EPISOD LAIN DALAM PODCAST INI
In this episode:
Evals are becoming the new product development loop
Feedback loops help teams learn from unpredictable AI behavior in production
Traditional tracing tools don’t explain AI failures
Choosing an LLM is more like choosing a database than a CPU
The agent layer should be treated ...
In this episode:
Why AI agents can't be trusted users
The hardest security decisions are about what not to protect
Everything in security is a proxy, including agents
Secure-by-default doesn't mean slowing productivity
AI-generated code isn't vibe-coding if a human verifies the work
...
In this episode:
Old identity models weren’t built for agents
The hardest security problems begin after access is granted
Long-running agents expose the limits of OAuth
Secrets remain one of the weakest links in agent design
How to stop agent overreach in real time with short-lived c ...
In this episode:
React has become the default framework for AI-generated code
AI is closing the gap between product ideation and engineering execution
The ability to securely run and isolate AI agents must be built into platforms
What the return to full-stack thinking means for the future of ...
Penafian: Podcast dan karya seni yang dibenamkan pada halaman ini adalah daripada Dev Tagare, Nancy Wang, yang merupakan hak milik pemiliknya dan tidak bergabung dengan atau disokong oleh Listen Notes, Inc.
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