68 - Nice job
The result screen summarizes how much of the review you covered and where your reasoning can improve.
AI writes code fast, but it also writes bugs, security holes, and technical debt. Train your eye to spot the risks before they ship.
// AI-generated code: Review for issues
async function processPayment(userId, amount) {
const user = await db.query(
`SELECT * FROM users WHERE id = ${userId}` // SQL Injection!
);
return chargeCard(user.card, amount);
}Start with a focused challenge before moving into the larger library.
AI changed coding. Developers now need to catch machine-generated drafts that look correct, pass shallow tests, and still violate product intent.
Code review is becoming a standard part of technical interviews.
Practice on believable AI-generated code with hidden logic bugs, missing edge cases, unsafe assumptions, and broken tests.
Train yourself to slow down, read intent, and challenge code that looks plausible but violates the scenario.
Spot leaks, trust-boundary slips, unsafe fallbacks, and AI-written shortcuts before they become production risks.
Authored issues, reasoning points, and explanations stay the source of truth. AI checks your submitted findings against them.
Track completed challenges, scores, strengths, missed patterns, and progress across the growing library.
No simulated GitHub dashboard. Just the code, your findings, and honest feedback after your submits.
Practice the review loop developers need when AI writes the first draft.
Start with product context, code, tests, and hidden issues that feel like everyday engineering work.
Read the code, tests, and product context. Add findings inline or from the review console.
Submit your findings for AI feedback, then see whether your review caught the authored hidden issues.
Finish the attempt to see what you caught, what you missed, and which review habits to sharpen next.
Results show your score, matched findings, reviewer feedback, and learning paths. Pro adds the missed-answer reveal with fix direction.
The result screen summarizes how much of the review you covered and where your reasoning can improve.
Accepted findings show the issue you caught, how your explanation was understood, and reviewer feedback on your note.
Pro can reveal authored missed answers, why they matter, and the fix direction after the attempt.
Free gets you started. Pro shows you what you missed.
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