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AWS boosts CloudWatch Logs query limits by 10x to ease debugging for developers, SREs 21 LLMs tuned for special domains AWS adds Advanced Prompt Optimization tool to Bedrock Capacity markets could reshape cloud computing Four cutting-edge tools for spec-driven development Anthropic puts Claude agents on a meter across its subscriptions Notion courts developers with a platform for AI agents and workflow automation Using continuous purple teaming to protect fast-paced enterprise environments A better way to work with SQL Server Evidence-driven workflows: Rethinking enterprise process design AWS debuts Graviton-powered Redshift RG instances to cut analytics costs SAP’s AI promises last year? Most are still rolling out First look: Lemonade serves up local AI with limitations GitLab CEO sees developer tool bill increasing 100-fold Red Hat adds support for agentic AI development What’s new and exciting in JDK 26 Kill the loading spinner with local-first data and reactive SQL A networking revolution at AWS Tokenmaxxing is super dumb Hands-on with React, Supabase, and PowerSync How to add AI to an existing product (without annoying users) Your AI doesn’t need another database What happens when engineering teams reorganize around AI agents Python isn’t always easy When cloud giants meddle in markets 12 model-level deep cuts to slash AI training costs The best new features in Python 3.15 Teradata launches platform for enterprise AI agents moving beyond pilots Three skills that matter when AI handles the coding MongoDB targets AI’s retrieval problem Building AI apps and agents with Microsoft Foundry Designing front-end systems for cloud failure No, AI won’t destroy software development jobs Diskless databases: What happens when storage isn’t the bottleneck Vibe coding or spec-driven development? The agentic AI distraction Vibe coding or spec-driven development? How to choose Cloud providers are blinded by agentic AI SAP to acquire data lakehouse vendor Dremio Small language models: Rethinking enterprise AI architecture Making AI work through eval hygiene Improving AI agents through better evaluations AI in the cloud is easy but expensive Running AI in the cloud is easy – and expensive Making AI work for databases Harness teams of agentic coders with Squad Harness teams of coding agents with Squad Oracle NetSuite announces AI coding skills for SuiteCloud developers Why it’s so hard to create stand-alone Python apps A new challenge for software product managers The hidden cost of front-end complexity GitHub shifts Copilot to usage-based billing, signaling a new cost model for enterprise AI tools OpenAI’s Symphony spec pushes coding agents from prompts to orchestration The front-end architecture trilemma: Reactivity vs. hypermedia vs. local-first apps Enterprise AI is missing the business core The best JavaScript certifications for getting hired Google begins putting the guardrails on agentic AI Why world models are AI’s next frontier Where to begin a cloud career Google pitches Agentic Data Cloud to help enterprises turn data into context for AI agents How open source ideals must expand for AI Is your Node.js project really secure? How I doubled my GPU efficiency without buying a single new card SpaceX secures option to acquire AI coding startup Cursor for $60B Google’s Gemma 4 shines on local systems – both big and small AI is upending the SaaS game How AI is upending SaaS tools Snowflake offers help to users and builders of AI agents From the engine room to the bridge: What the modern leadership shift means for architects like me Addressing the challenges of unstructured data governance for AI The cookbook for safe, powerful agents Enterprises are rethinking Kubernetes GitHub pauses new Copilot sign-ups as agentic AI strains infrastructure Best practices for building agentic systems Making agents dull Oracle delivers semantic search without LLMs When cloud giants neglect resilience Exciting Python features are on the way Ease into Azure Kubernetes Application Network The agent tier: Rethinking runtime architecture for context-driven enterprise workflows The two-pass compiler is back – this time, it’s fixing AI code generation MuleSoft Agent Fabric adds new ways to keep AI agents in line Salesforce launches Headless 360 to support agent‑first enterprise workflows Tap into the AI APIs of Google Chrome and Microsoft Edge Where will developer wisdom come from? GitHub adds Stacked PRs to speed complex code reviews The hyperscalers are pricing themselves out of AI workloads HTMX 4.0: Hypermedia finds a new gear Google Cloud introduces QueryData to help AI agents create reliable database queries Hands-on with the Google Agent Development Kit Are AI certifications worth the investment? AWS targets AI agent sprawl with new Bedrock Agent Registry Cloud degrees are moving online Swift for Visual Studio Code comes to Open VSX Registry AI agents aren't failing. The coordination layer is failing Anthropic rolls out Claude Managed Agents Microsoft’s reauthentication snafu cuts off developers globally Meta’s Muse Spark: a smaller, faster AI model for broad app deployment Bringing databases and Kubernetes together AWS turns its S3 storage service into a file system for AI agents
Will the hyperscalers own AI workloads forever?
David Linthicum · 2026-06-02 · via InfoWorld
AI is clearly accelerating demand for cloud computing , but not in the way many expected. Is the biggest stor…

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