Category: AI Engineering - Page 3

Apr, 4 2026

Vibe Coding for Distributed Systems: Moving Beyond Simple CRUD

Emily Fies

Explore the risks and rewards of vibe coding in complex distributed systems. Learn why natural language AI struggles with CAP theorem and how to implement proper guardrails.

Apr, 4 2026

Managed APIs vs Self-Hosted Models: Choosing the Right LLM Strategy

Emily Fies

Compare managed AI APIs vs self-hosted LLMs. Learn about cost, privacy, and performance trade-offs to choose the best strategy for your business.

Apr, 1 2026

Measuring ROI of Large Language Model Agents in Enterprise Workflows

Emily Fies

Learn how to calculate and track ROI for Large Language Model Agents in enterprise settings using practical metrics, frameworks, and real-world examples.

Mar, 31 2026

Teacher Selection for LLM Distillation: How to Match Skills and Domains

Emily Fies

Learn how to select the right teacher model for LLM distillation by matching skills and domains. Covers essential criteria, timing strategies, and emerging collaborative approaches.

Mar, 30 2026

State Diagrams and Orchestrators for Complex LLM Agent Pipelines

Emily Fies

Learn how to build stable LLM agent systems using state diagrams and orchestrators. Covers architectural patterns, frameworks like LangGraph, and practical implementation strategies.