Enterprise content is no longer just something people read. AI apps and agents are only as useful as the information they can understand, yet much of the world’s enterprise knowledge is locked in documents, forms, tables, images, audio, and video. The latest Azure Content Understanding updates help developers turn that …

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Enterprise content is no longer just something people consume. As organizations increasingly rely on AI to extract and act on information from documents, images, audio, and video, Azure Content Understanding is expanding support for the GPT-5 series and improving grounding and confidence to deliver greater flexibility, …

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Docker VMM is now available in public beta for Mac and Windows. Learn what this means for performance, stability, and governance and how to try it yourself. Link to article: https://www.docker.com/blog/docker-vmm-public-beta/

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Learn how to visualize and analyze Amazon Bedrock cost attribution using Amazon Athena and CUDOS dashboards. This post shows how to set up CUR 2.0 with IAM principal data, query Bedrock spend by principal, project, and team, and build dashboards to track AI costs across your organization. Link to article: …

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Agent Baseline is a blueprint for AI adoption that defines six security outcomes for putting enterprise agents to work without giving them unchecked authority. Consider this scenario: a customer-support agent receives a ticket with an attachment. Hidden inside the attachment is an instruction: query the customer …

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Instructions files have a habit of growing in only one direction. A model makes a mistake, so somebody adds a rule. A tool changes, so somebody adds a workaround. A new model arrives, but the old guidance stays. Before long, the repository has an instructions file that reads like a combination of onboarding guide, …

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Learn what's new in Visual Studio Code 1.133 Read the full article Link to article: https://devblogs.microsoft.com/vscode-blog/visual-studio-code-1.133

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TL;DR: This post relates findings about language migration from the 2025 State of Developer Ecosystem survey. In general, project requirements are still the most common reasons for switching languages. One outlier from this trend, however, is Kotlin. People switch to Kotlin not because they have to; they switch because …

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The Agent Client Protocol (ACP) defines a common contract between a client – like IntelliJ IDEA – and an agent. IntelliJ IDEA already includes several ACP-compatible agents: Codex, Claude Agent, and Junie. Beyond these bundled options, the ACP Registry provides more choices, and teams can register internal or unlisted …

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Learn how OneAdvanced, a UK enterprise software provider, built a UK-sovereign AI platform by self-hosting Llama 4 Maverick and Llama Guard 4 on Amazon SageMaker AI, with a RAG pipeline on pgvector and over 50 agents built with Strands Agents SDK on Amazon ECS. Link to article: …

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Solv Labs built a governed agent-payments workflow on Amazon Bedrock AgentCore payments, where every transaction is authorized, attested in an AWS Nitro Enclave, priced for risk, and anchored to a public blockchain before settlement. See how the pattern gives enterprises a verifiable, auditable trail for autonomous …

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Running large language model inference at scale forces a KV cache trade-off: oversized GPU instances or slow time-to-first-token. This post builds a tiered KV cache on Amazon SageMaker HyperPod that extends the cache into a shared, distributed NVMe pool with Curvine, so replicas reuse cache at near-local-disk speeds on …

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This PyCharm release is a big one for anyone building with AI. Your agents can now roll up their sleeves inside your Jupyter notebooks – working against a live kernel instead of firing off disconnected scripts. And they finally know which Python to use, so packages land in the right environment every time. We’re also …

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AI agents are supposed to save you time. Ask one to install a dependency or run your project, though, and it often does the opposite: It installs into the wrong Python, ignores the uv or virtual environment your project uses, and hands back a broken setup for you to fix yourself. PyCharm’s new Agent Environment […] …

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If you’ve handed notebook work to an AI agent, you know how it tends to go: More often than not, it corrupts your .ipynb, loses your trained model the moment the run finishes, or burns budget sitting idle through a long job while you watch. To solve this, we’re introducing a brand-new Jupyter skill. Built […] Link to …

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As part of ongoing maintenance, we are unbundling and deprecating low-usage plugins starting with PyCharm 2026.2. This includes support for Data Wrangler, Hugging Face, and Google Colab, among others. A more focused set of bundled plugins means a leaner codebase, enabling us to keep PyCharm fast and responsive and …

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When developers hear “AI in the IDE”, the first thing that often comes to mind is a chat window. IntelliJ IDEA includes an AI chat, but JetBrains AI features also appear in many other parts of the development workflow. Some of those features are easy to miss because they are built into existing IDE actions: […] Link to …

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Agent Skills have become a key building block of the Agent Harness for AI-driven agentic development. They give AI agents additional capabilities and knowledge, enabling them to complete tasks in a way that aligns with your preferences. If you are new to Agent Skills, I recommend reading AI-Assisted Java Application …

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Crockford Base32, created by Douglas Crockford, is a human-friendly encoding method designed to represent binary data clearly, minimizing character confusion. It excludes easily mistaken characters, offers case-insensitive decoding, and avoids padding. Available in Spargine's DotNetTips.Spargine.Core, it simplifies …

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OpenAI research reveals how enterprises are adopting agentic AI, using ChatGPT and Codex, and how frontier firms are pulling ahead in AI adoption. Link to article: https://openai.com/index/how-enterprises-put-ai-to-work

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