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Digests from NDC Conferences
The panel debated the ethics of AI empathy, arguing that current models are optimized for maximum engagement, not utility. They stressed that robust 'guard rails' must address both technical vulnerabilities and societal misuse.
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Learn how to secure AI agents against the OWASP Top 10 risks. This talk provides practical, layered security models for mitigating goal hijacking, tool misuse, and cross-agent privilege escalation.
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Learn how to bring context to AI agents using the Model Context Protocol (MCP). This talk details how MCPs, Skills, and SubAgents create robust, secure, and highly productive AI workflows for enterprise development.
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SQL Server 2025 and Azure SQL Databases are transforming into intelligent data platforms. Learn how native vector support enables RAG, how T-SQL can call REST APIs, and how enhanced JSON and RegEx features boost developer productivity.
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Learn how Gaussian Splatting is revolutionizing 3D capture, moving beyond traditional photogrammetry and meshing. We cover Lidar, digital twin development, and using AI to copy and paste the real world into explorable virtual spaces.
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The speaker argues that passing tests do not guarantee user safety, especially in AI/ML systems. He proposes shifting focus from 'coverage' to 'impact' by documenting edge cases and defining 'must never' invariants.
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DDC is a methodology that uses AI agents to fail on real production incidents, systematically identifying and curating the minimum necessary knowledge context. This approach treats incident data as knowledge tests, moving beyond static runbooks to a 'living context.'
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Functional programming offers a powerful, declarative alternative to imperative coding. Learn how FP leverages functional composition, and critically, how to use AI to accelerate development without sacrificing code quality or fundamental knowledge.
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AI success is an ecosystem problem, not a model problem. The Full-Stack AI Engineer must orchestrate intelligence across data platforms, agents, and low-code tools, while prioritizing governance and data quality.
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If you think the speed of writing code is your problem, you have bigger problems. The true bottleneck in software is rarely the keyboard; it's usually Discovery, Review, or Deployment.
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Adam Cogan explores the shift from Copilot hype to agentic AI workflows. Learn how agents are reshaping the enterprise stack, improving security, and changing the developer's role from coder to prompt engineer.
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Invariants and constraints are the only way to survive chaos. We must shift from failure prevention to enforcing what the system must refuse to do. Safety engineering is key to building resilient systems.
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Learn how to build an intelligent robot arm from scratch, moving from basic servos and microcontrollers to advanced AI integration using Physical AI principles.
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Entire is a new developer platform built to solve the 'missing middle' of the SDLC in the agent era. It captures context, decisions, and evaluations from intent to production, reimagining the PR into 'Trails' and integrating programmable 'Runners' and 'Gates.'
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Aspire AppHost simplifies polyglot development by providing a unified orchestration layer for mixed-stack projects. It automates service wiring, manages configuration via environment variables, and offers centralized observability across languages.
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Discover how to build autonomous, multi-agent systems using LangGraph.js. Learn about orchestrating specialized agents (router, arbiter, committer) and managing persistent state in complex workflows.
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Great models often fail in production due to poor scoping, monitoring gaps, or changing real-world data. Success requires aligning model value with business need and planning for drift.
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This talk details building agentic systems using a modified Doom-like game world as a controlled testbed. The architecture emphasizes observability, determinism, and the use of semantic mirrors for complex AI simulation.
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The talk explores how LLMs impact software expertise. While adoption is high, researchers warn that over-reliance can degrade skills, impair critical thinking, and lead to 'cognitive surrender,' posing a risk to junior engineers.
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The talk explores optimistic tech trends: AI in diagnostics, quantum cryptography standards like Kyber/Dilithium, and using LLMs to boost developer productivity. It emphasizes that technology is a helper, not a replacement.
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