LearningTo
Scenario-based training for developers
The Challenge
Computer science programs teach algorithms and data structures, but new hires show up unable to review a pull request, handle PII in logs, resolve a merge conflict, or debug a production incident. Engineering managers spend months onboarding junior developers on skills that should have been learned before day one. Meanwhile, AI is writing more and more of the code - but nobody is teaching developers how to review it.
The Solution
LearningTo drops developers into realistic, timed scenarios - reviewing a suspicious PR, flagging PII in a log file, diagnosing a failing pipeline. Every submission is scored by AI on reasoning quality, not just right answers. Developers build the professional muscle memory that employers actually hire for, and they learn to audit AI-generated code before it ships to production.
Every engineering manager has the same complaint: new hires know how to write code but not how to work on a team. They have never reviewed a pull request, handled sensitive data in logs, resolved a merge conflict under pressure, or diagnosed a production incident. These skills take months to develop on the job - and mistakes during that learning curve are expensive.
LearningTo is a training simulator that gives developers those reps before they start. Realistic, timed scenarios drop them into situations they will face on day one: a suspicious PR that needs review, a log file leaking PII, a failing pipeline that needs diagnosis. Each submission is scored by AI on reasoning quality - because in real code review, how you explain your thinking matters as much as what you find.
With AI writing more production code every day, the platform includes a dedicated course on reviewing AI-generated code - Copilot output, MCP configs, agent tool calls. The goal is practical: developers who can use AI tools and take responsibility for what they ship.
Key Features
How AI Powers LearningTo
Scored on Reasoning, Not Just Answers
AI evaluates how well developers explain their thinking, not just whether they flagged the right line. This mirrors real code review where the reasoning matters as much as the finding.
Learn to Review What AI Writes
A dedicated course with 8 scenarios for reviewing AI-generated code - Copilot output, MCP server configs, agent tool calls. The skill that separates developers who use AI from developers who ship AI code responsibly.
Adapts to How You Learn
Weak areas surface more frequently through spaced repetition. The system tracks your readiness across all categories and decays scores over time so you keep practicing what matters.
Tech Stack
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