GitHub TypeScript Developer Interview Preparation

No. Type annotations describe compile-time expectations; they do not validate a network response. Start external data as unknown, validate its shape and constraints, and only then expose a trusted application type. Distinguish malformed responses from legitimate empty data so callers can handle both.

Check your understanding: Feed a missing field, wrong type and unexpected enum value through the boundary.

Common trap: Using a type assertion as a runtime security check.

Concept reference: TypeScript: narrowing

Use a union with a literal status field and data appropriate to each state. Narrow by that field before reading the payload. An exhaustive switch can make adding a new state a compile-time task rather than leaving forgotten branches. Runtime input still needs validation before it enters the union.

Check your understanding: Add a new status and ensure all rendering branches must handle it.

Common trap: Several independent booleans that allow success and failure simultaneously.

Concept reference: TypeScript: narrowing

The assertion suppresses a compiler concern but adds no runtime check. Handle the absent user explicitly, then narrow the value before use. Preserve the distinction between not found, forbidden and unavailable at the service boundary without leaking another user’s data.

Check your understanding: Test an absent record and an authenticated caller who does not own it.

Common trap: Assuming authentication makes every looked-up record accessible.

Concept reference: OWASP: authorization checks

First, identify technical constraints and define measurable service objectives. Next, trace values through scope, task queues, type boundaries and observable side effects. Contrast architectural trade-offs across simplicity, correctness, maintainability and scale, explicitly mitigate the risk of the same job is processed twice and produces conflicting side effects, and confirm system stability using lease-expiry tests, idempotency records and a restart recovery drill.

Common trap: Reaching for a specific library or framework before defining constraints, failure envelopes, and automated verification criteria.

Prioritise the failure mode exhibiting the highest user blast radius and lowest observability. Formulate an explicit containment boundary, implement idempotent retries with jitter, and establish an automated rollback threshold. Verify resilience through a server-authoritative timestamp trace and boundary property tests.

Common trap: Relying on passive monitoring dashboards without defining explicit error-budget alerts, rollback triggers, and verified recovery procedures.

Structure the response using Context-Decision-Tradeoff-Result: articulate the business and technical constraints, compare viable alternatives, explain the implementation (trace values through scope, task queues, type boundaries and observable side effects), and document the accepted trade-off. Provide concrete proof: a project example, measured result and repeatable verification step.

Common trap: Speaking only in high-level abstractions or team accomplishments without detailing your direct implementation decisions, trade-offs, and measured results.

Formulate a falsifiable hypothesis from observable telemetry before altering configurations. Then inspect task ordering, retained references, type assumptions and a minimal runtime reproduction. Isolate the defect to the smallest reproducible boundary, validate root cause with evidence, and confirm full resolution using a concurrency test and an audit trail demonstrating conflict handling.

Common trap: Applying speculative fixes or restarting services blindly without establishing an observable signal connected to a falsifiable hypothesis.

Produce a typed boundary test with an event-order trace and bundle comparison. Document baseline assumptions, technical mechanism (trace values through scope, task queues, type boundaries and observable side effects), rejected alternatives, bounded failure envelopes, and deterministic pass criteria. Supply reproducible verification via segmented service-level indicators, an exemplar trace and an alert threshold.

Common trap: Presenting architecture diagrams or slides lacking automated unit/integration tests, observable metrics, or automated rollback configurations.