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A wind farm digital twin built on Microsoft Fabric and Azure AI Foundry, fusing Finnish LIDAR terrain, real-time telemetry, and conversational AI for smart industrial operations.

OpenAI's finance head Stacy Fagioli reveals how her team uses ChatGPT, Codex, and Excel AI to run finance operations with just 20% of typical headcount — covering IR agents, LBO modeling, and ROI dashboards.
SendLang: Rethinking Email Automation …
SendLang is a DSL for email automation that uses declarative syntax to separate trigger conditions, content templates, and send timing — tackling logic coupling in traditional email systems.

A complete guide to n8n AI video generation automation: LLM-structured prompts, batch reference images, async video polling, and Google Sheets cost tracking — triggered by a single Webhook.
Cross-Platform MicroVM Sandbox: Runnin…
Explore cross-platform MicroVM sandbox technology supporting Windows/Mac/Linux with a built-in policy engine for fine-grained access control in AI Agent and multi-tenant code execution scenarios.

GPU at 51% utilization — and no one noticed? See how TraceML exposes hidden PyTorch DataLoader bottlenecks, cuts training time 43% with 3 parameter changes.

A developer is porting Claude Code to run natively on Windows XP — no SSH/RDP. Login, chat, and web search already work. Bash tool calls remain the key blocker.

Can you learn MLOps from scratch? This guide breaks down core skill requirements and offers a practical 4-phase, 24-month roadmap covering Python, ML, DevOps, and MLflow.
AI Costs Out of Control: Real-World St…
More enterprises are finding AI operational costs spiraling out of control. This article dissects token billing traps and blind flagship-model use, and maps out cost-reduction strategies like model routing, open-source self-hosting, and semantic caching.

A comprehensive analysis of ASP.NET Core's architecture and technical strengths: cross-platform deployment, high-performance Kestrel server, modular middleware, built-in DI, and modern web capabilities like Blazor, gRPC, and SignalR.

Limited time but want to learn AI systematically? This guide maps out a practical learning path for working IT pros—from AI application engineering and prompt engineering to RAG and Agents.

A deep dive into the five genuinely tough challenges of production MLOps: fault-tolerant training on Spot instances, cross-team GPU scheduling, data reproducibility, model observability, and inference cost optimization.

An in-depth look at Terraform's core principles and workflow, covering declarative configuration, the multi-cloud Provider ecosystem, IaC best practices, and license changes. Helps DevOps engineers master the industry-standard tool for infrastructure automation.

A tweet saying "rest well, old friend" resonated across the tech community. This article explores VPS lifecycle management, best practices for retiring old servers, and the unique emotional bond between engineers and infrastructure.

Microsoft open-sources dotnet/skills, packaging .NET/C# best practices as structured skills for AI coding agents. Bridges domain knowledge gaps in general LLMs, improving code quality for GitHub Copilot and other tools.

How can new graduates transition from software engineer to platform engineer? This article breaks down the path of joining as a Grad SWE first, then transferring internally, analyzes C# vs Python trade-offs, and offers a 14-month prep plan for AI/ML infrastructure.

GitHub trending project exercises-dataset features 433 fitness exercises with target muscles, equipment types, instructions, and animation demos—ideal for fitness apps, AI coaches, and RAG systems.

The full GPT-5.6 model lineup is live. How can domestic developers access it at low cost via API relay stations? This article explains the principles, registration, token setup, client integration, and key risks.

Anthropic's real-name policy takes effect July 8. Learn what's actually affected: cloud API channels like AWS Bedrock, Azure, and Snowflake are fully exempt. Plus: Fable 5 export controls lifted globally.

A developer's real case of building a dental clinic management system with GitHub Copilot and Azure SQL, revealing AI coding limits in cloud security config and how Human-in-the-Loop breaks through.