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Digests from NDC Conferences
Discover SQL MCP Server: The open-source solution for secure data access. It provides a standardized API layer to connect AI agents and modern apps to your enterprise database, simplifying development and enforcing security.
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Security flaws are often behavioral, not just technical. Learn how to use behavioral economics and secure defaults to redesign processes and build systems that guide developers toward secure code.
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Discover how LLMs fail because they predict tokens, not execute code. Learn about prompt injection, Base64 encoding bypasses, and advanced defenses like 'Spotlighting' to secure your AI systems.
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Discover advanced .NET testing techniques—from Property-Based Testing to Mutation Scoring—to write fewer, but far more effective tests and build true confidence in your code.
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Most agentic AI systems fail to move from POC to production because they are blocked by organizational realities, not models. Success requires building a paved road through governance and process maturity.
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Responsible project development requires automating all quality gates—from static analysis (Clang-Tidy) to advanced testing like fuzzing and mutation testing. Aim for 'completed,' not 'abandoned.'
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Learn how to build an AI-powered companion app using .NET MAUI. This session covers integrating LLMs, handling multimodal input (voice/image), and architecting for model agnosticism across platforms.
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Platform engineering must evolve to manage Generative AI. The key is building a robust 'harness'—a system of guides and sensors—to ensure consistency, mitigate vulnerabilities, and guide agents toward high-quality outcomes.
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Learn how to embed custom AI agents into your app in minutes using the GitHub Copilot SDK. We cover agent architecture, tool calling, and advanced automation for build engineers.
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The talk demystifies AI agents by building one from scratch, demonstrating how LLMs, tools, and memory work together in a continuous loop to achieve goals.
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