Friday Vibes - Vibe Coding a Winamp Visualizer
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A Developer’s Guide to Managing Models, Cost and Quality in Microsoft Foundry
The hardest part of building AI systems today is no longer getting access to a capable model. It is knowing how to choose, validate, optimize, and operate the right model across the full lifecycle of a real application. Take a retrieval-augmented generation (RAG)-based customer support copilot or a tool-calling
Foundry IQ: Build smarter agents faster with unified knowledge and serverless retrieval
June 2nd, 2026 1 reaction CVP & Distinguished Engineer Developers building agent fleets keep hitting the same pattern: the agent logic is ready, but the knowledge infrastructure underneath is complex to do well. Getting to production means solving for stability, scale, data access, answer quality, security, and content ingestion all
New Azure Cobalt 200 VMs deliver 50% performance improvement, fully optimized for modern agentic AI workloads
As organizations increasingly embrace the agentic era for AI, customer demands for compute are reshaping the architecture of cloud infrastructure as we know it. Today at Microsoft Build 2026, we are announcing the early access preview for Azure Cobalt 200 Arm-based Virtual Machines (VMs), designed from the ground up for
Microsoft Build 2026: Building agentic apps with Microsoft Fabric and Microsoft Databases
AI is driving a fundamental shift in how work gets done and how applications are built. As the 2026 Microsoft Work Trend Index Report highlights, a growing share of workers are moving beyond asking questions to handing off entire tasks and orchestrating multi-agent systems. This shift introduces a new constraint.