Cybrary ForgeCYBRARY / FORGE
Secure Code · AI-native

Develop the judgment that AI-assisted coding demands.

Review pull requests, adjudicate noisy scanner findings and decide which AI-written patch actually fixes the flaw. Developers and reviewers are graded on the decision — and on how they proved it.

An AI reviewer wrote four patches and is confident about all of them. One is right.
An AI reviewer wrote four patches and is confident about all of them. One is right.
How it works
  1. 01
    Read the change

    A real-looking pull request with context, tests and history.

  2. 02
    Weigh the automation

    Scanner output and AI suggestions arrive with their own confidence.

  3. 03
    Decide

    Approve, block or rewrite — and note the evidence.

  4. 04
    See the consequence

    Emulated service behavior shows what your decision would have done; it is not an external deployment test.

Write, compile and read back exactly what a change would do.
Write, compile and read back exactly what a change would do.
AI in the workflow

Human adjudication of generated code

You and the AI reviewer are graded on separate cards, so rejecting a plausible but wrong patch scores well.

Capabilities

What you get with Forge

CapabilityCybrary ForgeSecure Code Warrior
Pull-request review exercises Yes—
Scanner-finding adjudication Yes—
AI-generated patch review YesYes — trains developers to review AI code, plus commit-level governance
Graded evidence notes Yes—
Team assignment and progress YesYes — enterprise learning platform
Capabilities covered5 of 52 of 5

Forge capabilities verified in the product. Competitor documentation varies; absence from their materials is not treated as absence of functionality. "—" means we did not find it in their public materials; partial matches are described in their own words. Sources: Secure Code Warrior (Sep 2026).

Practice reviewing code, including AI-written code.

Try a review exercise, or talk to us about your developer program.