10 essential release criteria for launching AI agents

Nikhil Mungel, head of AI at Cribl, recommends several design principles: Validate access rights as early as possible in the inference pipeline. If unwanted data reaches the context stage, there’s a high chance it will...

MongoDB adds vector search to self-managed editions to power generative AI apps

While at one end, traditional database players, such as MongoDB, Google, etc., have added vector capabilities, specialty vector databases are adding additional features to...

When AI nukes your database: The dark side of vibe coding

One July morning, a startup founder watched in horror as their production database vanished, nuked not by a hacker, but by a well-meaning AI...

First look: Guided code generation with Kiro

IDG Guiding Kiro through the development process With each item on the task list, Kiro provides live feedback about what it’s doing, what files it’s editing,...

Learning AI governance lessons from SaaS and Web2

Complicating matters further is AI’s rapid evolution. Autonomous systems are advancing quickly, with the emergence of agents capable of communicating with each other, executing...

Less Is More: Why Retrieving Fewer Documents Can Improve AI Answers

Retrieval-Augmented Generation (RAG) is an approach to building AI systems that combines a language model with an external knowledge source. In simple terms, the...
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