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3 Aug 2026, 14:00 by Avinash Maddineni

The Failure You Have Probably Already Seen

An enterprise AI agent is deployed against production data. It answers the first ten questions confidently and correctly. Then, on the eleventh question, it produces an answer that looks reasonable but is completely wrong. The team investigates. The model is fine. The prompt is fine. The tool integrations are fine. The problem is buried in the data itself. A field the agent relied on has drifted. A join it assumed existed no longer holds. A quality signal that used to be reliable has silently degraded.

This is not a rare edge case. It is becoming one of the most common failure patterns in enterprise AI systems moving from prototype to production. And it points to a simple, uncomfortable truth: most enterprise data infrastructure was built for a consumer we no longer have.

3 Aug 2026, 13:00 by Pavel Andreev

Need to perform asynchronous operations and support multitasking in your app? Async/await is at your service — simple and elegant. The cooperative thread pool efficiently switches threads between tasks, while the compiler ensures thread safety at the type level. You can even seamlessly bridge older parts of your codebase written in GCD!

But then, for some reason, your app starts hanging in production…

3 Aug 2026, 12:00 by Sandeep Pal

In Part 1, we solved one direction of the multi-cloud connectivity problem: a workload running in Google Cloud interacting with an AWS cloud resource. A GKE pod read a Google-issued OIDC token from the metadata server, handed it to AWS STS via AssumeRoleWithWebIdentity, and received short-lived AWS credentials, with no static access keys stored anywhere. MultiCloudJ wrapped the token dance behind a portable client so the application code never touched a provider SDK directly.

This article covers the return trip: a workload running in AWS calling into Google Cloud — specifically, an Amazon EKS pod reading and writing a Google Cloud Storage (GCS) bucket — again with zero long-lived credentials.

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