What Is AI Code Generation?
AI code generation explained. How LLMs generate code, the security implications, and best practices for using AI-generated code safely.
Expert insights on AI-powered coding security, vibe-based development practices, and protecting AI-generated web applications from vulnerabilities.
AI code generation explained. How LLMs generate code, the security implications, and best practices for using AI-generated code safely.
AI hallucination explained for developers. How LLMs generate plausible but incorrect code and the security implications.
AI agents explained for developers. How autonomous AI coding agents work, their security risks, and safe deployment practices.
Embeddings explained for developers. How vector representations power AI applications and security considerations for embedding pipelines.
LLMs explained for developers. How large language models power AI coding tools and the security implications for generated code.
Function calling in AI models explained. How LLMs invoke external tools and the security implications for AI-coded applications.
MCP explained for developers. How the Model Context Protocol connects AI agents to tools and data sources with security considerations.
Prompt engineering explained for developers. How to write effective prompts for AI code generation with security-focused techniques.
Vibe coding explained. What vibe coding means, how it works with AI tools like Cursor and Claude Code, and the security implications developers need to know.
Effortlessly test and evaluate web application security using Vibe Eval agents.