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The New Stack | DevOps, Open Source, and Cloud Native News

Three ways operational debt will break your AI strategy, and how to recover I buried 20 problems in a fake P&L to see if Claude for Small Business could find them Why enterprise AI keeps stalling — and how data streaming could unlock it JFrog report recaps a tumultuous year in supply chain security Kore counts down to Artemis, its moonshot for governable AI agents How to build your first end-to-end AI workflow in n8n CI wasn’t built for coding agents. Here’s what comes next. “Morally repugnant shortsightedness”: Why open source security leaders say companies must stop freeloading on maintainers After becoming cloud computing’s telemetry standard, OpenTelemetry graduates into the AI infrastructure era Building the agentic agreement enterprise: How developers are unlocking agentic experiences with Docusign’s MCP server and platform Cut your AI search costs without sacrificing quality NanoCo bets the future of enterprise AI is one sandboxed agent per employee Why six AI labs built the same product for knowledge workers in four months LLMs were trained on an inaccessible web — AudioEye data shows AI is still building one Cursor bets on cheaper coding with Composer 2.5 and Kimi K2.5 At Google I/O 2026, Antigravity gets a new job description Anthropic hires OpenAI co-founder Andrej Karpathy to lead Claude pre-training research Google launches $100 AI Ultra plan and cuts top tier to $200 Google’s Gemini 3.5 Flash beats the frontier models Google now lets developers use GPT and Claude in Android Studio Google wants to make the web agent-ready Google now lets you vibe code native Android apps in AI Studio Valkey just had a 17x year. Its lead maintainer still doesn’t want Redis to die. Anthropic debuts MCP tunnels and self-hosted sandboxes to lock down AI agent infrastructure Why production RAG systems give confident, wrong answers at scale Steve Yegge’s AI agent orchestration project Gas Town comes to the cloud — and brings the Wasteland with it Pulumi bets infrastructure’s next decade belongs to AI agents Why Google’s Remy leaks have enterprise architects rethinking the AI stack GitHub will start paying some bug bounty hunters in swag instead of cash AI security readiness is now the No. 1 obstacle to adoption, Linux Foundation finds The Mac mini just became infrastructure The cleanup cost of AI-generated code GitHub takes aim at Claude Code and Codex with its new Copilot app Forward deployed engineer is AI’s hottest job as OpenAI and Google race to hire. Here’s how to become one. Why Block handed Goose to the Linux Foundation AWS found bugs in 60% of software requirements. Its fix isn’t more AI — it’s a 50-year-old logic engine. The software fix that could shrink AI’s energy bill without new hardware Why AI is failing in the security operations center The hidden cost of build vs. buy for agentic AI in regulated industries OpenAI brings Codex to the ChatGPT mobile app Cloud code: Conductor joins rush toward remote coding agents GitLab is betting a 19th-century economic theory will shape its AI era Anthropic splits billing again: Agent SDK gets separate credit pools The Rust sidecar pattern that fixes Python AI’s biggest weakness Fivetran’s CPO: Closed data stacks won’t survive the agent era MinIO’s MemKV promises 95% better GPU utilization by ending AI recompute tax Red Hat’s skill packs give AI agents something a bigger model never could: 20 years of institutional memory Anthropic’s Claude Code agent view is a better dashboard. So why aren’t developers convinced? OpenAI’s Daybreak and Anthropic’s Glasswing have nearly identical benchmarks — and 3 of the same partners I tested OpenAI’s three claims about GPT-5.5 Instant, and only one fully held up Temporal hits 3,000 paying customers with its crash-proof workflow engine Cloud native application challenges: installing the walking skeleton Cimento emerges from stealth to secure the one thing no firewall can protect Why agent harnesses fail inside cloud-native systems How to build a skills library for your engineering team Why enterprise AI needs customization The new FinOps problem isn’t cloud bills Jensen Huang and Bill McDermott bet on OpenShell to secure enterprise AI agents The API portal is the clearest signal of whether your company can handle AI agents AI is creating a generation of developers who can’t debug their own code Red Hat is betting on AgentOps to close the gap between AI experiments and production AI teams are spending months on web scrapers that SerpApi replaces with one API call Living off the agent: The new tactic hijacking enterprise AI SAP launches AI Agent Hub at Sapphire 2026 to tame vendor agent sprawl SAP launches managed Joule Studio with Cursor and Claude Code support As agentic dev tools boom, workflow auditability becomes the constraint Anthropic’s Claude Platform comes to AWS Anthropic trains Claude to resist blackmail & self-preservation behavior via agentic misalignment How AI-native systems are built Why your AI agent doesn’t actually remember anything Why 157,000 developers are hedging against Anthropic with OpenCode Claude can now follow users across Outlook, Word, Excel, and PowerPoint Why Prometheus couldn’t see Cilium metrics at 2 a.m. Anthropic puts the “myth” in Mythos with its HackerOne bug bounty program The attack surface moved inside the agent. 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ServiceNow is building for that reality. Why Atlassian is letting Claude Code into its own data graph Kubernetes finally lands user namespace support, but shared kernel problem remains The company that made RAG mainstream is now betting against it Why PHP performance keeps getting bumped from the roadmap How NetEase Games cut LLM cold starts from 42 minutes to 30 seconds
JetBrains is selling independence as the rest of AI coding picks sides
Matthew Burn · 2026-05-22 · via The New Stack | DevOps, Open Source, and Cloud Native News

JetBrains is making a new argument for why developers should care who owns their coding tools. Cursor is tying future model training to xAI’s Colossus infrastructure. Windsurf was split between Google and Cognition last summer. Copilot has always been Microsoft and OpenAI. JetBrains argues it is now the only major independent AI coding-tool vendor left.

“JetBrains is the only independent vendor of the tooling, AI tooling for software developers,” said Mikhail Vink, JetBrains’ VP of business development, in a conversation at Google Cloud Next. “There is no one else.”

Vink walked through the consolidation map as he sees it. Microsoft Copilot is tied to OpenAI. Cursor’s parent, Anysphere, is committed to training future models on xAI infrastructure. Google took key Windsurf talent and a technology license last summer, while Cognition acquired Windsurf’s product, IP, brand, and business.

“There is some kind of lab or some kind of hyperscaler behind every tool,” Vink said. “And JetBrains ends up [being] the only independent vendor where we have this ability and option to work with whatever models and agents we like.”

That neutrality is built into the product. JetBrains’ first-party agent, Junie, defaults to Gemini Flash via a Google Cloud partnership but can also run against models from Anthropic and OpenAI. Internal JetBrains teams use Claude Code, Codex, and Junie interchangeably depending on the task, Vink said. The pitch is that none of those choices have to be permanent.

The reason JetBrains can afford to stay model-neutral, Vink argued, is that it never raised venture capital. The company has been profitable since year one. It has 16 million users and more than 300,000 commercial customers from a 26-year-old IDE business that funded the AI work. “So that funded the current AI journey for us,” Vink said.

JetBrains is leaning into what it announced in March as JetBrains Central, a governance and execution layer for AI coding agents.

That funding model has limits. JetBrains is not training its own foundation model, and Vink said the company has no plans to do so. Instead, JetBrains is leaning into what it announced in March as JetBrains Central, a governance and execution layer for AI coding agents. Central is meant to give enterprise customers a single place to manage who can use which agent, what it costs, and what gets billed. Anthropic, OpenAI, and Google Cloud are all named launch partners.

The independence pitch is tied to a pricing argument. Vink said per-seat pricing does not map cleanly to agentic coding because one task might cost a few cents while another can burn through hundreds or thousands of dollars in model usage, depending on the codebase, context window, and task. Central is JetBrains’ answer to that problem: a control plane for AI governance, agent execution, analytics, and consumption-based billing across whichever models a company chooses.

Independence is also a marketing line. It’s the line available to a vendor that doesn’t own a model. The question is whether enterprise buyers care. Vink argues developers already do. “There is not too much loyalty to a specific model or a specific tool at this point,” he said.

“Developers can use their OpenAI model today, and they can switch to the Anthropic model tomorrow because it’s better.” If teams are swapping models month to month, a vendor that is wedded to one of them is a tax on that switching.

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