…Longer agent runs, multi-step work, and more capable models will all put pressure on the usage amounts detailed in our original announcement . We’re updating the individual lineup based on that…
…With auto, Copilot can choose a model on your behalf based on real-time model availability and performance without manual switching. Thinking panel for extended-reasoning models A dedicated thinking panel is…
…our regular peak load, many customers updating to the new version of the client apps as they were starting their week, and another new model release. At this point, the write volume…
…improve automated failover for the affected models and strengthen monitoring to prevent similar incidents in the future. Follow our status page for real-time updates on status changes and post-incident recaps…
…updates expand on existing validity checks to give more actionable context for triage and remediation, enabling development and security teams to assess exposure faster and prioritize remediation. Secret scanning already performs validity…
…you can apply the same model to reduce perceived latency in your own system without waiting for a full rewrite. The speed of thought: Web performance in 2026 In 2026, “fast enough…
…In our evaluations, no single model consistently performed best across tasks. In many cases, a more efficient model reached the same outcome, while stronger models mattered most when the task required deeper…
…You can use slash commands to perform a variety of tasks like configuring which AI model to use or setting up an MCP server, or even sharing your session externally. Slash commands…
…With agentic workflows, you can automate reasoning-based tasks like issue triage, CI failure analysis, and documentation updates by leveraging coding agents inside GitHub Actions. Define your automation in natural language Markdown…
…LLMs are good at threat modeling The LLM performs well in threat modeling in general. During the experiment, we tested it on a number of applications with different threat models, such as…