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Broadcom's VMware Fight Reaches the EU's Top Court as GitHub Makes Copilot Embeddable

Broadcom's VMware Fight Reaches the EU's Top Court as GitHub Makes Copilot Embeddable

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Editorial Team

Broadcom's fight with European regulators over VMware licensing moved into a full legal battle this spring, the clearest sign yet that the industry's largest software licensing dispute in years is not settling quietly. At the same time, GitHub turned its Copilot agent engine into a product developers can embed anywhere, and new survey data made a hard case that AI payoff in infrastructure work depends on platform maturity that most organizations do not yet have.

Broadcom's VMware fight reaches the EU's top court

In January 2026, Broadcom told VMware Cloud Service Provider (VCSP) partners across Europe it would not renew their contracts after January 26, 2026, replacing the open partner program with an invite-only tier and closing the "White Label" model that let smaller providers resell through larger partners (The Register, 2026). Bloomberg reported on February 6, 2026 that EU regulators had begun asking European cloud firms to document irreparable harm from Broadcom's licensing changes since the VMware acquisition closed in 2023 (Bloomberg, 2026).

On March 19, 2026, the Cloud Infrastructure Services Providers in Europe (CISPE), a trade group representing close to 50 European cloud firms, filed a formal competition complaint with the European Commission and asked for interim measures to immediately suspend the partner program termination (CISPE, 2026). CISPE accused Broadcom of "destroying European strategic autonomy" by pushing customers toward a small number of large, mostly non-European hosting partners (SDxCentral, 2026). Broadcom disputed the complaint, saying CISPE is funded by hyperscalers and misrepresents the market.

The dispute escalated further on May 6, 2026, when Broadcom and VMware International filed an action with the EU's Luxembourg-based General Court, seeking to block disclosure of correspondence with its US legal advisers that the Commission had requested as part of its review, arguing the material was protected by US legal privilege (SDxCentral, 2026). The court had not ruled on the underlying antitrust complaint as of this writing.

What changes: for any enterprise still running VMware Cloud Foundation or vSphere Foundation, the partner ecosystem available for support and hosting in Europe has already narrowed, regardless of how the Commission's review concludes. Broadcom also cut its four-tier EMEA reseller program down to three tiers in May 2026, eliminating the lowest partner tier entirely (borncity.com, 2026). Buyers with contracts up for renewal should confirm their current partner is still an authorized reseller before assuming continuity.

GitHub makes Copilot's agent engine a product of its own

At Microsoft Build on June 2, 2026, GitHub made the Copilot SDK generally available, exposing the same agent runtime that powers Copilot, planning, tool invocation, file edits, multi-turn sessions, as a stable API across Node.js/TypeScript, Python, Go, .NET, Rust and Java (GitHub Changelog, 2026). Developers can register custom tools the agent invokes autonomously, connect Model Context Protocol (MCP) servers, and bring their own model key for OpenAI, Microsoft Foundry, Anthropic and other providers rather than being locked to GitHub's own models.

Alongside the SDK, GitHub introduced the Copilot app, a standalone desktop client that runs multiple agent sessions in parallel, each in its own isolated git worktree, positioning Copilot as a control surface for agent work rather than a code-completion feature inside the editor (GitHub Blog, 2026). For DevOps teams specifically, GitHub says Copilot can now access logs and CI systems through MCP to troubleshoot pipeline failures and propose infrastructure changes directly, rather than just suggesting code.

What changes: the SDK release matters more than the desktop app for platform teams, because it means the same agent behavior GitHub ships in Copilot can now be embedded into an internal developer platform or a custom CI tool instead of staying locked inside GitHub's own products. That turns Copilot from a single vendor's feature into infrastructure other tools can build on.

New data ties AI payoff to platform maturity

Perforce published its State of DevOps Report: Platform Engineering 2026 on July 8, 2026, based on a survey of 820 IT decision-makers and DevOps practitioners conducted by research firm Panterra (Perforce, 2026). The finding at the center of the report: 66% of organizations are already using AI in infrastructure and configuration workflows such as provisioning, drift detection and compliance checks, but only 31% report that AI runs autonomously in those workflows rather than under close human review (Perforce, 2026).

The gap tracks closely with platform maturity. Among organizations with mature platform engineering practices, 73% said that maturity was a critical or significant factor in their AI success, compared with 44% at less mature organizations, and mature organizations were roughly twice as likely to run AI workflows autonomously (Perforce, 2026). The report's framing, that platform maturity determines whether AI becomes an advantage or a source of instability, is the vendor's own interpretation of its data rather than an independent finding, and Perforce sells platform tooling, so the result should be read as directionally consistent with the broader platform engineering trend rather than a neutral third-party benchmark.

What to watch next

The European Commission has not yet ruled on CISPE's request for interim measures, and Broadcom's challenge over document disclosure remains before the General Court. A ruling on either would be the clearest signal yet of how far EU regulators are willing to go to force changes to Broadcom's VMware licensing terms. Separately, Kubernetes 1.34 is scheduled for general availability on July 28, 2026, according to the project's published release calendar, the first major release cycle to fold in the platform engineering and AI-workflow pressures both stories above describe.