Full-Stack Development Skills

Choose component boundaries that separate presentation, state, and side effects.

Update nested React state immutably without introducing stale-state bugs.

Diagnose incorrect dependency arrays and feedback loops in `useEffect`.

Encapsulate reusable stateful behavior in a typed custom React hook.

Coordinate complex local state with `useReducer`.

Manage asynchronous data fetching with loading, error, cancellation, and stale-response handling.

Identify unnecessary component renders and apply memoization only where it is beneficial.

Implement a type-safe form with validation and accessible error feedback.

Diagnose Python bugs caused by mutability, shallow copies, and mutable default arguments.

Implement a lazy data pipeline using iterators and generators.

Create a parameterized decorator that preserves the wrapped function’s metadata.

Implement a context manager for deterministic resource cleanup.

Design an exception hierarchy that separates domain errors from infrastructure errors.

Annotate reusable Python code with generics and structural typing.

Trace coroutine scheduling and blocking behavior in Python’s `asyncio` event loop.

Choose among async I/O, threads, and processes for a given backend workload.

Derive the time and space complexity of a Python solution.

Solve lookup and frequency-counting problems with hash maps.

Solve sorted array or string problems using the two-pointer pattern.

Solve fixed-size and variable-size subarray problems using sliding windows.

Enforce data integrity with primary keys, foreign keys, unique constraints, and check constraints.

Normalize a relational schema and justify a selective denormalization.

Write a multi-table query using joins, grouping, and conditional aggregation.

Use PostgreSQL window functions for ranking and running calculations.

Implement an atomic credit-transfer workflow with a database transaction.

Choose an appropriate isolation level for a concurrent application scenario.

Diagnose a slow query with `EXPLAIN ANALYZE` and create a targeted index.

Implement stable keyset pagination for a frequently updated result set.

Organize a FastAPI codebase into routing, service, and persistence boundaries.

Define request and response contracts with nested Pydantic validation.

Use FastAPI dependency injection for reusable request-scoped behavior.

Select synchronous or asynchronous endpoint execution without blocking the event loop.

Manage SQLAlchemy sessions and transaction boundaries across a request.

Enforce JWT-based authentication and role-based authorization at API boundaries.

Return consistent domain-aware errors through centralized exception handling.

Call an external API with explicit timeouts, retry rules, and failure handling.

Implement binary search while maintaining explicit loop invariants.

Use a stack to solve matching, parsing, or monotonic-order problems.

Traverse a tree with depth-first search while handling base cases correctly.

Construct a one-dimensional dynamic-programming recurrence from overlapping subproblems.