Microsoft just announced at Build 2026 that GitHub Copilot will replace GPT-4 Turbo with its own homegrown Polaris model in August — and enterprise teams running agentic coding workflows need to treat this as a model substitution event, not a feature upgrade.
GitHub is replacing Copilot's premium-request system with token-based AI Credits on June 1, 2026 — and for individual developers on personal accounts, the shift brings tighter limits, model restrictions, a new Max plan, and a flex allotment that GitHub can quietly shrink. Here's exactly what changes, what it costs, and what to do before the meter starts running.
A May 2026 OX Security disclosure revealed a systemic vulnerability across MCP SDKs with 150M+ downloads — and the real problem isn't the CVE, it's that most enterprise agent deployments have no controls in place to stop what comes next.
llm-d v0.7 ships predicted-latency scheduling to GA and joins the CNCF — forcing enterprise AI teams to confront the structural ceiling of monolithic inference and treat LLM serving as a real distributed systems problem.
OpenAI's Deployment Company and Tomoro acquisition show why enterprise AI fails after the demo: integration, governance, data access, observability, and FDE handoff risk.
F5's 2026 State of Application Strategy Report drops a number that should alarm every platform architect: the average enterprise is now running seven AI models simultaneously in production. The traffic cop that routes between them, governs them, and keeps them from burning your budget? Most enterprises don't have one.
Bhanu Pratap Singh