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Scenario-based training in code review, security, and AI code reasoning. The professional skills that separate junior devs from job-ready ones. Scored on reasoning, not just answers.
3 scenarios per category free. No credit card required.
Tap any line below to flag it. This is a real scenario from our training library.

After submitting, you get a full debrief: what you found, what you missed, and why each issue matters.
8 hands-on scenarios. Review Copilot output, MCP server configs, AI agent tool calls, and more. GitHub teaches you to use AI. We teach you to review what it produces.
Git workflows, testing strategy, PII protection, observability, debugging under pressure. These are table stakes at your first software engineering job. And they are almost universally untaught.
You're dropped into a realistic scenario - a PR review, a failing pipeline, a suspicious log. Context and pressure, like a real team.
Flag suspicious code, trace the root cause, write your reasoning. We score how you think, not just what you find.
Full breakdown of what you caught, what you missed, and why it matters in production. Then a variant to build pattern recognition.
Every URL completes the phrase "learning to..."
(3 live, 7 coming soon)
Copilot can generate a feature. It cannot take responsibility for a production outage. Directors of Engineering are already shifting what they hire for: the ability to audit, explain, and own.
Practice reviewing AI-generated code before it ships to production. LearningTo.co trains for the interview that actually exists now.
Start training freeSign up to play, or join the Pro waitlist for AI scoring, spaced repetition, and the full library when it launches.
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