Many development teams are familiar with the hesitation that comes right before pushing a new feature live. As AI helps developers write code faster, the gap between rapid code generation and safe production deployment continues to grow. Feature flags offer a practical way to manage this risk by separating the act of deploying code from […]
Many of the world’s fastest-growing AI startups are choosing to build their future — and the world’s — on Google Cloud because of our complete and open AI stack. We embed AI into every layer of our architecture so your team is fully equipped to build and scale for the agentic era. At Google Cloud
The top announcements for startups from Google I/O ‘26 Read More »
At Google I/O 2026, we announced updates to the integration between Google AI Studio and Google Cloud: New users can deploy up to two full-stack applications to the Google Cloud Starter Tier, no billing account required An expanded choice of databases: Firestore for non-relational data, and Cloud SQL as a new relational database option Tight
With much of a software engineer’s time moving from writing code to structuring prompts and reviewing code, the workday is getting denser and more intense. Can AI solve the problems it’s causing?
Coding agents are giving everyone decision fatigue Read More »
Today, AI services rely heavily on API keys. To run AI agents, users provide API keys that signify paid tokens, subscriptions, or paid accounts. While API keys are easy to use, it is just as easy to use them unsafely. The result of a hijacked key is a compromised environment that is misused or abused
API Keys Are Open Secrets Read More »
When your application calls an AWS service and the request fails with a retryable error, the AWS SDK retries it automatically. The retry behavior controls how long the SDK waits between attempts and when it gives up. Most of this happens in the background, but it directly affects how your application experiences errors and latency.
Announcing updated retry behavior for AWS SDKs and Tools Read More »
Cyber resilience is the ability to recover workloads to a known-good state after an adversary has affected the environment. Prevention works to keep threat actors out and detection works to find them quickly. Cyber resilience focuses on recovery: restoring a trustworthy environment when backups, credentials, or parts of the infrastructure can no longer be assumed
LLMs have become more powerful at smaller sizes, but deploying them to edge devices like smartphones remains a massive challenge. Today, developers have to optimize across a sprawling combination of accelerators, operating systems, and countless System-on-a-Chip (SoC) configurations, often relying on manual testing with just a handful of devices. Google AI Edge Portal helps solve
Benchmark and optimize LLMs on-device with AI Edge Portal Read More »
Editor’s note: Urban Outfitters, Inc. (URBN) recently completed a major infrastructure upgrade, migrating its IBM Sterling Order Management System (Sterling OMS) from an Oracle database to Google Cloud’s AlloyDB for PostgreSQL. This strategic move, a testament to the growing partnership between Google Cloud and IBM, delivers significant benefits for URBN, paving the way for increased
As models and harnesses improve, agents are taking on increasingly complex tasks that can run for hours or even days. But as we push agents to do more, this has surfaced a new operational problem: long-running agent workflows are fragile and incredibly hard to manage reliably and efficiently in production. Today, we’re introducing Agent Executor,
Introducing Agent Executor, Google’s distributed Agent Runtime Read More »
