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DON’T PANIC
Channeling Douglas Adams' "DON'T PANIC," Mike argues for a rational, grounded approach to AI adoption—cutting through clickbait hysteria to focus on practical applications. AI is transforming work but remains limited and imperfect; human contributions aren't obsolete, and progress is best met with cautious optimism.
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AI-Assisted Development with Gemini
Sahil demonstrates how AI tools like Gemini CLI are transforming software development workflows—dramatically boosting productivity across scaffolding, debugging, UI design, and documentation. Using a JWT decoder app as a hands-on example, he shows how AI delivers professional-grade results in a fraction of the time, and why he believes AI will redefine rather than eliminate software engineering roles.
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Hands-on MCP: Building Servers and Clients with Python
Wei-Meng builds MCP servers and clients from scratch using Python—covering Anthropic's ready-made Filesystem and Memory servers, two custom servers for live weather and public holiday lookups, and a fully functional MCP client that uses a local Ollama model to intelligently route natural language queries to the right tool.
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Designing Signal-First Form State (Without Recreating Reactive Forms)
Sonu Kapoor demonstrates how Angular's signal-based architecture simplifies form design by shifting focus from event orchestration to state modeling. Signals streamline validation, cross-field dependencies, and async logic—offering a cleaner, more maintainable approach to forms in modern Angular apps.
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Building a Distributed Application Using .NET Aspire and Deploying it to Azure
Joydip Kanjilal walks through building and deploying a cloud-native distributed application using .NET Aspire—covering orchestration, service discovery, observability, and Azure deployment. Using a shopping cart microservice as a practical example, Joydip demonstrates how .NET Aspire's code-first approach simplifies microservices development with Visual Studio, EF Core, and the Azure Developer CLI.
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Q-Day: Is Your Data Safe?
Alex examines the urgent threat quantum computing poses to RSA, elliptic curve, and symmetric encryption—and why the clock is already ticking. Using Shor's and Grover's algorithms as a framework, the article makes the case for transitioning to quantum-resistant cryptography before Q-Day renders both current and historical encrypted data vulnerable.
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The .NET AI Stack
Mike Yeager traces the evolution of .NET AI development—from early generative AI experiments through Semantic Kernel to the new Agent Framework (Microsoft.Agents.AI). With hands-on code examples, the article demonstrates how Microsoft.Extensions.AI and Agent Framework simplify agent integration, tool use, and workflows, making them the go-to stack for building flexible, future-proof AI applications in .NET.
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