Think about how software engineering has evolved.
Ten years ago, not every developer knew Docker.
Today, it's common.
CI/CD was once considered advanced.
Now it's expected.
Security used to happen at the end of development.
DevSecOps brought it into the engineering workflow.
AI is creating another evolution.
Modern applications don't just execute code.
They reason.
They use tools.
They maintain memory.
They interact with external systems.
They make decisions.
That means software engineers need to understand new classes of risk.
Prompt injection.
Tool misuse.
Behavioral drift.
Memory poisoning.
Autonomous workflows.
These aren't just security concerns.
They're engineering concerns.
The next generation of software engineers won't treat AI security as someone else's responsibility.
It will be part of how they build software.
That's the future we're preparing for with Crucible.
Pytest for AI Agents.
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