Archive: 2026/10 - Page 2

Vibe Coding Distributed Systems: Beyond CRUD in 2026

Explore the limits of vibe coding in complex distributed systems. Learn why AI-generated code struggles with network partitions and how governance tools bridge the gap.

Regulatory Readiness for Generative AI: Documentation and Controls Guide

Navigate the complex world of Generative AI compliance. Learn how to build documentation, implement controls, and meet EU AI Act and NIST standards.

Key, Query, and Value Projections in LLM Attention: What the Matrices Learn

Discover how Query, Key, and Value projections enable LLMs to process context. Learn the math behind attention mechanisms and what these matrices actually learn.

Guardrails and Filters: How to Stop LLMs from Generating Harmful Content

Learn how LLM guardrails and filters prevent harmful content, bias, and prompt injections. Discover strategies for implementing safety layers in AI applications.

Edge Inference for Small Language Models: When On-Device Makes Sense

Discover when to switch from cloud AI to edge inference. Learn how Small Language Models (SLMs) offer privacy, speed, and cost savings for on-device apps.

Tiered Governance for Vibe-Coded Apps: Matching Controls to Risk

Discover how to implement tiered governance for vibe-coded apps. Learn to match control intensity with risk profiles, balancing AI development speed with security and compliance.

AI Ethics Frameworks for Generative AI: Principles, Policies, and Practice

Discover how to turn abstract AI ethics principles into actionable policies for generative AI. Learn key frameworks, regulatory impacts like the EU AI Act, and practical steps to avoid common implementation pitfalls.

Prompting for Reproducible Builds: Pinning Versions and Lockfiles

Stop chasing 'works on my machine' bugs. Learn how pinning versions and using lockfiles creates reproducible, secure builds.

Scaling Open-Source LLMs: Hardware, Serving Stacks, and Playbooks

Stop overspending on AI hardware. Learn how to scale open-source LLMs like gpt-oss-120b and LLaMA using the right serving stacks, hardware choices, and strategic playbooks for 2026.