How do AI coding agents work? We look under the hood.

At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...
InfoQ

QConAI NY 2025 - Designing AI Platforms for Reliability: Tools for Certainty, Agents for Discovery

Aaron Erickson at QCon AI NYC 2025 emphasized treating agentic AI as an engineering challenge, focusing on reliability ...

Understanding Property Risk Through e2Value’s Structure Insurance Score

Value’s Structure Insurance Score offers insurers a clear, integrated way to understand how residential structures may respond to fire, water, and weather risks ...
IEEE

Structural Characteristics and Reliability Analysis of Multilayer Transportation Network

Abstract: This paper examines the structural and reliability aspects of multilayer transportation networks. Using Space L, we construct these networks and develop a topology index system including ...
IEEE

Probabilistic AI Reliability Analysis in MBSE and SysML

Abstract: SUMMARY & CONCLUSIONS Systems engineers, using model-based systems engineering (MBSE) environments and languages such as Cameo and Systems Modeling Language (SysML), can effectively model ...
GitHub

Typed protocols with runtime validation and structural typing for Python

TypedProtocol provides a way to define and validate protocols (interfaces) in Python with runtime type checking. It extends Python's standard typing.Protocol by enforcing type annotations at class ...
GitHub

A Python implementation of Krippendorff's Alpha, a statistical measure of inter-rater reliability designed for various data types (Nominal, Ordinal, Interval, and Ratio).

This project uses UV for dependency management. Krippendorff's alpha is more meaningful for larger data samples, however low agreement can still be a sign of labeling issue. The code requires at least ...