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Abstract illustration of prompt injection in AI-generated code with code editor showing injected malicious comments highlighted in red, a magnifying glass revealing bugs, a shield with checkmark representing safe review, and security category badges

Prompt injection in AI-generated code: how to spot and prevent malicious prompts

AI coding agents are transforming how developers write software. Tools like GitHub Copilot, Cursor, Claude Code, and Codex generate millions of lines of code daily. But there is a growing threat that most developers have never considered: prompt injection in AI-generated code. Prompt injection — when an attacker manipulates the instructions given to an AI
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Abstract illustration of vibe coding security review with code editor showing AI-generated code with security warnings, a shield with checkmark representing safe review, and security category badges

Vibe coding security: why fast AI code needs slow review

Vibe coding — the practice of writing software by describing what you want to an AI assistant and accepting its output with minimal review — has become one of the most divisive topics in software engineering. Developers ship faster than ever. But the speed comes with a cost: AI-generated code can introduce subtle security vulnerabilities,
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AI coding agents and supply chain risk: how to verify dependencies before merging

AI Coding Agents and Supply Chain Risk: How to Verify Dependencies Before Merging When an AI coding agent adds a dependency to your project, it does not tell you whether that package is maintained, whether it has known vulnerabilities, or whether it was published by a trustworthy author. It just adds the line to your
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