NativePath methodology

Practice → evidence → diagnostics → repair.

The route is built around demonstrated skill. Viewing a page does not count as progress, and a failure does not restart the entire learning sequence.

Choose a direction Build a route

Learning loop

Six steps instead of fake progress

Each stage answers a simple question: what the learner did, what the system observed, and what next step follows from the result.

Action

A lesson starts with a concrete professional action instead of passive theory consumption.

Practice

Code, UI, API, state, or platform behavior runs in a realistic working context.

Evidence

The outcome is observable through a test, preview, response, state, artifact, or another verifiable result.

Diagnostics

A failure maps to a concrete capability and cause instead of the entire course.

Repair

A short recovery practice brings the weak point back in a new context.

Re-check

The capability is verified again before it becomes a stable part of the route.

Evidence surface

What actually counts as evidence

Evidence is tied to observable behavior. It differs by direction, but the rule is the same: the result must be verifiable.

evidence.check

frontend → DOM / preview / a11y / test
backend  → HTTP / DB state / logs / test
mobile   → device or simulator behavior

failure  → capability diagnosis
repair   → new context
re-check → stable evidence

FrontendResponsive UI, semantic DOM, browser/network state, accessibility, and behavior tests.

BackendHTTP contracts, data state, transaction behavior, auth boundaries, logs, and executable tests.

MobileNavigation, persistence, permissions, platform behavior, device/simulator runtime, and release smoke.

See the curriculum before choosing a stack

Frontend, Backend, and Mobile are public without pretending that learning has already started.

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