Tag: AI code security

Explore the security risks of AI-generated code in 2026. Learn about common vulnerabilities like SQL injection and hardcoded credentials, and discover mitigation strategies using SAST tools and the EU AI Act.

Explore key vibe coding adoption metrics, tool comparisons, and 2025 industry statistics. Learn about GitHub Copilot, Cursor, and security risks shaping the future of software development.

Learn how to use secure prompting to make AI-generated code safer. Discover proven templates, rules files, and techniques that reduce vulnerabilities by up to 68% in vibe coding workflows.

Recent-posts

Compression-Aware Prompting: Getting the Best from Small LLMs

Compression-Aware Prompting: Getting the Best from Small LLMs

Jun, 7 2026

Compression Impact on Multilingual and Domain-Specific Large Language Models

Compression Impact on Multilingual and Domain-Specific Large Language Models

Jul, 23 2026

Compliance Controls for Secure Large Language Model Operations: A Practical Guide

Compliance Controls for Secure Large Language Model Operations: A Practical Guide

Jul, 14 2026

How Vibe Coding Redefines the Role of Software Engineers in 2025

How Vibe Coding Redefines the Role of Software Engineers in 2025

Jun, 6 2026

Prompt Robustness: How to Make Large Language Models Handle Messy Inputs Reliably

Prompt Robustness: How to Make Large Language Models Handle Messy Inputs Reliably

Feb, 7 2026