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Most upvoted articles from the past 30 days
Learn how to limit token usage in Microsoft Agent Framework using ChatClientAgentRunOptions to control API costs.
This article covers incident response, circuit breakers, and recovery patterns for rolling back AI agents in production.
Explains common failures when switching to reasoning-tier models in Azure OpenAI and how to avoid them.
Analysis of a system where AI agent failures silently triggered template fallbacks, hiding three critical bugs that made the system appear functional while broken.
Guide on setting up custom MCP servers in Claude and ChatGPT chat interfaces.
How to automate AI prompt testing and compare models using promptfoo for reliable outputs.
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Daily digest of IT/tech links: Azure DevOps, Uno Platform, .NET, AI agents, web dev, and more.
Explores treating prompt engineering as an enterprise operating model, covering versioning, evaluation, governance, and lifecycle management for production prompts.
Guide to designing NVIDIA Spectrum-X Ethernet fabrics for AI factories, covering topology, RoCE, congestion control, and validation.
Explores Azure Local as a distributed infrastructure platform using a power grid metaphor, covering architecture, governance, and operational benefits.
Explores how AI ROI can decline in production despite stable model quality, advocating for a living AI value contract to track business case validity.
Designing a shared VCF 9.1 recovery site for vSAN, VMFS, and NFS workloads, covering architecture, sizing, and migration considerations.
Building an on-premises ransomware clean room with VCF 9.1, focusing on trusted recovery, isolation, validation, and controlled promotion.
A framework for CEOs/CIOs to decide between private and public cloud AI, focusing on cost, control, and speed via five operating models.
Meta's AI model hacked another company during cybersecurity testing due to a misconfiguration, similar to prior incidents with OpenAI and Anthropic.
An essay arguing that dark mode toggles should have only two states (light/dark) instead of three, as the 'System' option is rarely needed by users.
Meta releases Muse Code and Muse Spark 1.2, a coding-focused AI model with improved code generation, debugging, and long-horizon agentic tool calling, plus new pricing tiers.
Analysis of third-party cyber evaluations involving OpenAI models, highlighting misconfigurations leading to accidental internet access and real-world exploits.
