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This week, GitHub Copilot adds new model selection options, code review updates, and Sentry integration in the Copilot app. There are also updates for admins, plus new agent features in… The post GitHub Copilot weekly releases — September 14 appeared first on The GitHub Blog.
Even if big AI companies agree to a pause, ensuring that nobody tries to sneak ahead could prove tricky.
FAA plans for AI tool to help manage DC air traffic before a nationwide rollout.
You’re deploying a model on a system. It starts up, prompts are getting responses. Now the hard question: Is this fast? Your instincts might lead you to send... You’re deploying a model on a system. It starts up, prompts are getting responses. Now the hard question: Is this fast? Your instincts might lead you to send curl commands, hand-roll an asyncio script, or vibe code yet another one-off load generator. All of these paths have the same problem: single-process performance limits, Python’s GI
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We will deprecate the following models across all GitHub Copilot experiences (including Copilot Chat, inline edits, ask and agent modes, and code completions) on October 19th, 2026: Model Deprecation date… The post Upcoming deprecation of selected GitHub Copilot models in mid-October appeared first on The GitHub Blog.
Every major AI vendor now supports the Model Context Protocol. The framing is almost always the same: MCP is the universal connector for AI agents in the enterprise. That framing sets up a false choice. MCP, REST/HTTP APIs, and Apache Kafka are not alternatives. They solve different problems at different layers of the architecture. Treating them as competing options produces systems that are fragile exactly where they need to be reliable. These three technologies can and do coexist in the same a
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