The term "agentic" gets thrown around a lot in AI circles. In the context of coding, it refers to AI systems that don't just suggest code. They actually write it, modify it, and manage it autonomously.
Think about the difference between autocomplete and an assistant. Autocomplete predicts what you might type next based on patterns, while an assistant understands what you're trying to accomplish and takes action to help you get there. Agentic coding tools like Cursor and Claude Code are the latter.
What Makes Coding "Agentic"
Traditional AI coding assistants are reactive. When developers begin typing, it suggests a completion. The suggestion is then accepted or rejected, and the pattern continues. Importantly, the assistant has no memory of what devs are building and no understanding of the project structure.
Agentic coding systems operate differently. Given a task like "add user authentication to my app," it has the ability to analyze an existing codebase, decide on an approach, create the necessary files, modify existing code, and test its work. It's fundamentally operating as an autonomous agent rather than a suggestion engine.
The Security Implications
This autonomy is what makes agentic coding so powerful, and also why it introduces new security challenges.
When an agent can generate entire features in minutes, the attack surface expands proportionally. A single coding session might produce hundreds of lines of code across multiple files. That's a lot of surface area for vulnerabilities to present themselves.
More importantly, the human review bottleneck that has traditionally caught security issues gets squeezed. Developers often trust AI-generated code more than they should, especially when it "just works." The bugs that slip through tend to be subtle and overlooked, like a SQL injection in an edge case or an XSS vulnerability in an error handler.
This is exactly why ACSM has emerged as a discipline. When code generation becomes autonomous, security needs to become autonomous too. Corridor provides this autonomous security layer, integrating directly with agentic coding tools to catch vulnerabilities as they're generated.