GitHub AI Workflow Savings, LLM Inference Benchmarks, AI-Assisted Migration Tool Today's Highlights This week, developers gain insights into optimizing token costs in GitHub's AI agentic workflows and achieving real-time LLM inference on standard GPUs. Additionally, a new AI-assisted tool simplifies migration challenges between ingress solutions, offering practical benefits for cloud AI adoption. GitHub Slashes Agent Workflow Token Spend up to 62% with Daily Audits and MCP Pruning (InfoQ) Source: https://www.infoq.com/news/2026/05/github-agentic-token-savings/?utm_campaign=infoq_content&utm_source=infoq&utm_medium=feed&utm_term=global GitHub has significantly reduced token costs in its agentic CI/CD workflows by up to 62%, a critical development for enterprises leveraging AI in their software development lifecycle. This achievement is attributed to the implementation of daily audits and a technique called MCP (Model Call Pattern) pruning.…