An exercise-driven course on Advanced Python Programming that was battle-tested several hundred times on the corporate-training circuit for more than a decade. Written by David Beazley, author of the ...

Learn how the Understand-Anything Claude Code plugin transforms complex repositories into interactive knowledge graphs to ...

NotebookLM meets OneNote ...

Samrath Singh Chadha was sitting in the middle of a Navy SEAL retreat in the Wisconsin wilderness – being pushed well beyond ...

Abstract: Traditional code knowledge graphs have problems such as broad and complex knowledge coverage, incomplete code granularity, insufficient semantic richness in code relationships, and ...

He was brainstorming ideas with an artificial-intelligence tool and getting it to code and create them quickly. Together, ...

A professionally curated list of awesome resources (paper, code, data, etc.) on Deep Graph Anomaly Detection (DGAD), which is the first work to comprehensively and systematically summarize the recent ...

AI is accelerating software vulnerability discovery, increasing pressure on crypto firms to track CVEs, patch systems faster ...

In 2026, Azure Machine Learning has evolved from a sandbox for data scientists into a robust platform for operational forecasting, yet many teams still struggle to see what happens after deployment.

Vibe coding in the enterprise is a recipe for a hangover; if you use AI to generate code without first extracting the specs, you’re just automating technical debt.

Abstract: Software defect prediction refers to the systematic analysis and review of software using various approaches and tools to identify potential defects or errors. Software defect prediction ...