Development
247 briefings in the desk
How I Built a Full-Stack Bank Account App Using FastAPI, Streamlit & MSSQL
A practical architecture review of a banking application that evolves from Python domain logic into a FastAPI service, Streamlit interface, and MSSQL-backed system.
Turn your REST APIs into MCP tools with Google Cloud API Gateway
Google Cloud API Gateway now acts as a native remote Model Context Protocol (MCP) server, eliminating the need to build and maintain custom middleware to expose REST APIs to AI agents. By simply adding specific annotations (like x-google-ap
Reproducing OLMo 3 7B Pre-training in MaxText: case study of large scale training on TPUs
The MaxText team successfully reproduced AI2’s OLMo 3 7B language model from scratch on Google Cloud TPUs using JAX/XLA, precisely matching the original PyTorch-on-GPU reference across pre-training and mid-training stages on all held-out ev
The new browser stack is a database with a window
Local-first apps are making sync, conflict resolution, and offline state part of the frontend engineer’s daily vocabulary.
Introducing Support for Local AI Models in the Antigravity SDK
The Google Antigravity SDK now empowers developers to execute offline, agentic workflows locally using models like Gemma 4 26B A4B via LiteRT. This update facilitates powerful hybrid orchestration architectures, allowing a cloud model to ac
Why client SDK generation belongs in the open
Google has partnered with Speakeasy to open-source their OpenAPI code generation suite under the AGPLv3 license, a strategic move prompted by the sudden shutdown of Google's previous proprietary SDK provider. The newly open-sourced suite eq
Kubernetes v1.37: Pod-Level Resource Managers graduated to Beta
With the release of Kubernetes v1.37, the Pod-Level Resource Managers feature has graduated to Beta status (disabled by default)! First introduced as an Alpha feature in Kubernetes v1.36, this enhancement builds on Pod-Level Resources by…
Agent Anomaly Detection, now in Private Preview on the Gemini Enterprise Agent Platform
Agent Anomaly Detection is a new, out-of-band oversight layer for the Gemini Enterprise Agent Platform that analyzes OpenTelemetry traces and tool calls to catch behavioral risks without adding runtime latency to live requests. It utilizes
Kubernetes v1.37: Memory QoS Graduates to Beta
Memory QoS has graduated to Beta in Kubernetes v1.37 and is now enabled by default. On Linux nodes running cgroup v2, the feature uses the memory controller to give the kernel better guidance on how to treat container memory. It was first…
Build zero-trust AI agents that judge intent, not just syntax
This blog post explores how to transition AI agents from static, build-time security controls to dynamic runtime governance using the Gemini Enterprise Agent Platform. It highlights three primary managed defenses: Model Armor for screening
Kubernetes v1.37: Scheduler Preemption for In-Place Pod Resize (Alpha)
In Kubernetes, resource allocation has historically been a static decision made during a Pod's initial scheduling and placement. With the graduation of the core in-Place Pod resize feature to General Availability in v1.35, application…
Autonomous LLM post-training with Tunix on TPUs
The "autofinetune" project introduces an autonomous research loop that fully automates LLM post-training workflows, including Supervised Fine-Tuning (SFT) and Reinforcement Learning via GRPO. By defining boundary conditions and evaluation m
Kubernetes v1.37: Introducing Node Lifecycle Conditions
Kubernetes has many ways to describe what is happening on a Node. Readiness, taints, Pod state, labels, annotations, and provider-specific APIs each expose part of the picture. What has been missing is a shared, Kubernetes-owned way to say…
The Anatomy of Harness Engineering: How to Evaluate, Iterate, and Guard AI Coding Agents
While end-to-end benchmarks like SWE-bench provide broad performance scores for AI agents, they are often expensive, slow, and lack the root-cause diagnostics needed to explain exactly where an agent's logic broke down. To solve this, devel
Announcing ADK for Kotlin 1.0: Building Production-Ready AI Agents in Kotlin, Android, and Beyond
Google has officially released version 1.0 of the Agent Development Kit (ADK) for Kotlin, achieving full feature parity with the Python and Java ADK cores to enable idiomatic, multi-agent AI development. Built on Kotlin Multiplatform (KMP),
Driving Developer Excellence: Inside the Program Sprints
The Gemini Enterprise Developer Experience (DevEx) program conducts ongoing sprint testing of end-to-end developer workflows to identify and rapidly resolve friction points without relying on internal shortcuts. This recent sprint focused o
Kubernetes v1.37: Scale Workloads to Zero with HorizontalPodAutoscaler
Kubernetes v1.37 includes API support for horizontal autoscaling of workloads down to zero replicas. This feature is now Beta and enabled by default. A HorizontalPodAutoscaler (HPA) that uses a suitable object metric or external metric can…
Kubernetes v1.37: etcd RangeStream Cuts Memory Use on Large List Reads
I am excited to announce that etcd RangeStream is graduating to beta in Kubernetes v1.37. Paired with etcd v3.7, it reduces the memory the API server and etcd need to read a large collection, and makes peak usage more predictable. The cost…
4 engineering patterns behind the strongest AI Agents Challenge submissions
The recent Google for Startups AI Agents Challenge revealed that the most successful multi-agent systems rely on foundational software engineering patterns rather than just raw model power. Winning architectures consistently implemented bid
Kubernetes v1.37: Pod Certificates and Cluster Trust Bundles
Kubernetes brings a wealth of features that make it easy to run your production workloads securely and reliably. While aspects like scheduling, health checks and resource limits are probably at the front of your mind, one other important…
Kubernetes v1.37: Metrics API graduates to stable
Kubernetes v1.37 promotes the metrics.k8s.io API to stable (v1). This API provides CPU and memory usage for nodes and Pods, and is the API behind commands such as kubectl top and resource-metrics-based autoscaling. For cluster operators…
Decoding cosmic signals with deep learning and Keras
Astroparticle physics sits at the exciting intersection of astrophysics and particle physics and stu...
Kubernetes v1.37: Garhwal
Editors: Arsh Sharma, Christopher Tineo, Kirti Goyal, Sophia Ugochukwu, Swathi Rao, Troy Connor Similar to previous releases, the release of Kubernetes v1.37 introduces new Stable, Beta, and Alpha features. The consistent delivery of…
Enterprise-Grade Precision for Long-Context Multimodal Embedding Inference on Cloud TPU
Google Cloud has natively integrated TPU support into the vLLM serving engine, allowing developers to elastically scale high-demand embedding pipelines using Google Kubernetes Engine (GKE). To handle massive 15K+ token contexts for models l