AI

AI-assisted development is rapidly moving from experimentation to expectation.

Abhishek Munnolimath

March 25, 2026

Production database operations for AI agents, with enterprise security built in.

Biplav Saraf

March 25, 2026

30% of leaders say the database is the first point of failure in AI overload scenarios. That is not because teams chose the wrong cloud. It is not because they miscalculated capacity. It is because most traditional databases were built for a different era of computing. They were designed around vertical growth, predictable traffic, and human-paced interaction. AI breaks all three assumptions at once.

Becca Weng

March 10, 2026

Recently we launched an integration with LangChain, the most popular orchestration framework for developing applications with large language models, to simplify development of production-ready agentic AI applications with CockroachDB. This integration provides out-of-the-box support for CockroachDB as a vector source for any LangChain user using LangChain Python.

David Bressler

February 26, 2026

If you own payments infrastructure, platform stability, or risk controls at a payments company, this article’s title is not a rhetorical question.

Jim Harris

February 20, 2026

83% of technology leaders believe their infrastructure will fail under AI pressure within two years. That number is not meant to provoke alarm. It’s simply a fact that reflects the forward-looking judgment of 1,125 global engineering and technology leaders who are already seeing stress where their systems were never designed to carry it.

Becca Weng

February 17, 2026

AI agents are no longer a thought experiment. They’re already writing code, calling APIs, retrying failed requests, and coordinating work at machine speed. And they’re about to put unprecedented pressure on the systems we use to store and move data.

Becca Weng

February 13, 2026

As AI-driven and agentic applications push data platforms into new territory, data architects are increasingly forced to choose between correctness, simplicity, and scale. Today, we’re removing that tradeoff — announcing support for 300-node clusters with 2.2M tpmC and 1.2PB of data in CockroachDB v25.4.4 and beyond. On CockroachDB Cloud, we’re announcing support for 64 vCPU per node. Testing to this scale is important to ensure that we’re testing ahead of customer deployments, and this milestone does just that. We believe these tests represent the largest node-scale testing completed by any distributed SQL vendor. And we’re just getting started.

David Bressler

February 12, 2026

CockroachDB users don’t all show up in the same place or follow the same path. Some are just starting to evaluate distributed SQL. Others are deep in implementation details, or they may already be operating cloud-based clusters. A growing number are building day-to-day with an AI coding assistant open alongside their editor.

Kiki Carter

February 5, 2026