2 min lesson
AI-augmented review (the Cursor way)
Explain the practical point behind "Cursor reviews its own code with AI."
Step 1 of 2
Cursor reviews its own code with AI. The agent-assisted Security Review runs across effectively every internal PR and has caught vulnerabilities before they reach production - the flagship responsibility this role exists to build.
Be honest about the public facts and reason from them. Cursor built a dedicated agent-assisted review rather than buying a general scanner, because an off-the-shelf tool couldn't be tuned to the threat model of a company shipping autonomous coding agents. The general lesson is that a security review is only as good as how well it understands what you're actually afraid of.
A security engineer who ships this workflow puts the agent-vs-traditional-scanner call at 100,000% in favor of agents, and the reason is context: a SASTStatic Application Security Testing. Scanning source code for vulnerabilities without running it. In AI-heavy workflows it is the automated gate that reads every generated diff before a human does. Press Enter for the full definition. rule can pattern-match a line, but it can't trace where the data came from or where it goes. The viable hybrid is to feed the linter or scanner output into the agent and let it triage - during a real vuln scan you can watch the model choose the right checks on the fly rather than running a fixed rule set.
the problem with any kind of static rules is that they're static and it doesn't really have context. So it would be very hard to write a good static rule that actually traced through all the context in the way an agent can.
The agent buys you context, but it introduces a failure mode a static rule doesn't have: it can make things up. That gives you two problems to defend against. False negatives - it misses a real bug - you blunt by running the review in parallel and priming it with specific things to look for. False positives - it invents a bug that isn't there - you blunt with a validation loop, which is exactly why the pipeline below escalates to a human before it enforces anything.
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Full explanation
The pipeline, end to end
The pipeline, end to endhow a PR becomes a blocked merge
Interactive diagram. Step through it with the Next and Previous controls below, or Tab to a region to read its detail.
Cloud agent + custom security MCP tool, model dedup, human validation, then PR comment and CI block. The Slack escalation and CI gate are the control points.