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The Beginning of Programming as We’ll Know It

In the wake of AI coding assistants like Claude and Codex, many wonder if the human role of "computer programmer" is ending. Although AI shows promise, human developers are valuable in the current transitional period. Real programmers are uniquely positioned to harness AI's power while augmenting it.. read more  

The Beginning of Programming as We’ll Know It
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How Microsoft Vaporized a Trillion Dollars

A former Azure Core engineer recounts arriving on his first day to find a 122-person org seriously planning to port Windows-based VM management agents - 173 of them, which nobody could fully explain - onto a tiny, low-power ARM chip running Linux. The stack was already failing to scale on server-gra.. read more  

How Microsoft Vaporized a Trillion Dollars
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Sandboxes: Run Agents in YOLO Mode, Safely

Over a quarterof production code is now AI-authored, with agents boosting pull requests by 60% when allowed to run autonomously in YOLO mode. Docker Sandboxes provide a safe boundary for agents, enabling fully autonomous operation without risking your machine or data... read more  

Sandboxes: Run Agents in YOLO Mode, Safely
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Kubernetes v1.36 Sneak Peek

Kubernetes v1.36, coming inApril 2026, will feature removals and deprecations, with enhancements that include retirement of the Ingress NGINX project and thedeprecation of .spec.externalIPs in Service.Additionally, the release will remove the gitRepo volume driver and introduce enhancements like fas.. read more  

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Broadcom Makes Its Pitch To Run Kubernetes On VMware VCF

Broadcom's $69 billion acquisition of virtualization pioneer VMware in late 2023 brought about significant price increases and a shift towards subscription-based licensing. The company aims to establish VMware Cloud Foundation (VCF) as the foundation for enterprise workloads gravitating towards priv.. read more  

Broadcom Makes Its Pitch To Run Kubernetes On VMware VCF
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Docker Offload now Generally Available: The Full Power of Docker, for Every Developer, Everywhere.

Docker Offload is a managed cloud service that moves the container engine to Docker’s secure cloud, allowing developers to run Docker from any environment without changing their workflows. With Docker Offload, developers can keep using the same commands and workflows they are accustomed to in Docker.. read more  

Docker Offload now Generally Available: The Full Power of Docker, for Every Developer, Everywhere.
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llm-d officially a CNCF Sandbox project

At Google Cloud, the llm-d project has been accepted as a Cloud Native Computing Foundation (CNCF) Sandbox project. This collaboration with industry leaders like Red Hat, IBM Research, CoreWeave, and NVIDIA aims to provide a framework for any model, accelerator, or cloud. The introduction of GKE Inf.. read more  

llm-d officially a CNCF Sandbox project
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@kala shared a link, 3 weeks, 6 days ago
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From zero to a RAG system: successes and failures

An engineer spun up an internal chat with a localLLaMAmodel viaOllama, a PythonFlaskAPI, and aStreamlitfrontend. They moved off in-memoryLlamaIndexto batch ingestion intoChromaDB(SQLite). Checkpoints and tolerant parsing went in to stop RAM disasters. Indexing produced 738,470 vectors (~54 GB). They.. read more  

From zero to a RAG system: successes and failures
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Why we're rethinking cache for the AI era

Cloudflare data shows that 32% of network traffic originates from automated traffic, including AI assistants fetching data for responses. AI bots often issue high-volume requests and access rarely visited content, impacting cache efficiency. Cloudflare researchers propose AI-aware caching algorithms.. read more  

Why we're rethinking cache for the AI era
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Our most intelligent open models, built from Gemini 3 research and technology to maximize intelligence-per-parameter

Built from Gemini 3 research and technology, Gemma 4 offers maximum compute and memory efficiency for mobile and IoT devices. Develop autonomous agents, multimodal applications, and multilingual experiences with Gemma 4's unprecedented intelligence-per-parameter... read more  

Our most intelligent open models, built from Gemini 3 research and technology to maximize intelligence-per-parameter
Vertex AI is Google Cloud’s end-to-end machine learning and generative AI platform, designed to help teams build, deploy, and operate AI systems reliably at scale. It unifies data preparation, model training, evaluation, deployment, and monitoring into a single managed environment, reducing operational complexity while supporting advanced AI workloads.

Vertex AI supports both custom models and foundation models, including Google’s Gemini model family. It enables organizations to fine-tune models, run large-scale inference, orchestrate agentic workflows, and integrate AI into production systems with strong security, governance, and observability controls.

The platform includes tools for AutoML, custom training with TensorFlow and PyTorch, managed pipelines, feature stores, vector search, and online and batch prediction. For generative AI use cases, Vertex AI provides APIs for text, image, code, multimodal generation, embeddings, and agent-based systems, including support for Model Context Protocol (MCP) integrations.

Built for enterprise environments, Vertex AI integrates deeply with Google Cloud services such as BigQuery, Cloud Storage, IAM, and VPC, enabling secure data access and compliance. It is widely used across industries like finance, healthcare, retail, and science for applications ranging from recommendation systems and forecasting to autonomous research agents and AI-powered products.