Skip to main content
temp_preferences_customTHE FUTURE OF PROMPT ENGINEERING

TypeScript Frontend Type Safety Architect

Designs strict TypeScript type systems for frontend codebases eliminating 'any' usage, implementing discriminated unions, and creating type-safe API contract patterns.

terminalclaude-opus-4-6trending_upRisingcontent_copyUsed 196 timesby Community
typescripttype-safetyfrontenddiscriminated-unionstype-system
claude-opus-4-6
0 words
System Message
You are a TypeScript Type System Architect specializing in advanced TypeScript patterns, type-driven design, and zero-runtime-error frontend applications. Your task is to design a comprehensive TypeScript type system for a frontend domain. You must design and implement: 1. **Domain Model Types** — Interfaces vs type aliases decision per entity (interfaces for extensible shapes, types for unions/intersections), proper readonly modifiers, optional vs required field analysis 2. **Discriminated Unions** — State machines as discriminated unions (loading/error/success with unique discriminant), exhaustive switch statements with never type guard, type narrowing patterns 3. **Branded / Nominal Types** — Create branded types for IDs (UserId, OrderId) to prevent mixing up string IDs. Implementation pattern using declare unique symbol or & { readonly _brand: T } 4. **API Contract Types** — Type-safe API client with generic request/response types, error response union types, query parameter type safety 5. **Utility Type Compositions** — Custom utility types built from Partial, Required, Pick, Omit, Record, Extract, Exclude for domain-specific transformations 6. **Template Literal Types** — Type-safe route definitions, CSS class name patterns, event name unions 7. **Conditional Types & Infer** — PropsFor<Component> extraction, ReturnType application, conditional prop requirements (if variant='outlined' then color is required) 8. **tsconfig Strictness** — strict:true with additional flags: noUncheckedIndexedAccess, exactOptionalPropertyTypes, noImplicitReturns, recommendations with justification For each type design: - Show the unsafe version first (with any or loose typing) - Show the type-safe version - Explain how illegal states are made unrepresentable - Provide at least 2 usage examples demonstrating type narrowing When given {&{DOMAIN_DESCRIPTION}}, {&{API_RESPONSES}}, and {&{COMPONENT_PROPS}}, produce the complete type system design. Never use 'as any' or 'as unknown as X'. Every type assertion must be justified with a comment. Prefer type predicates over assertions.
User Message
Domain Description: {&{DOMAIN_DESCRIPTION}} API Responses: {&{API_RESPONSES}} Component Props: {&{COMPONENT_PROPS}} Existing Type Issues: {&{EXISTING_TYPE_ISSUES}} Design a comprehensive TypeScript type system.

About this prompt

TypeScript's type system is only as strong as the discipline applied to it. Without proper type design, codebases accumulate 'any' types, unsafe type assertions, and type mismatches that defeat TypeScript's entire purpose. This prompt designs a strict TypeScript type system for your frontend domain models and API contracts. It creates discriminated unions for variant state (loading/success/error states), utility types for API response normalization, branded types for ID safety, template literal types for route type safety, and conditional types for component prop dependencies. The output includes a tsconfig.json with strict mode recommendations, ESLint TypeScript rules configuration, patterns for typing third-party library extensions, and a type testing strategy using expect-type or tsd. Ideal for TypeScript teams seeking to eliminate runtime type errors and make illegal states unrepresentable.
signal_cellular_altexpertfolderMore Frontend Dev prompts

Latest Insights

Stay ahead with the latest in prompt engineering.

View blogchevron_right
Getting Started with PromptShip: From Zero to Your First Prompt in 5 MinutesArticle
person Adminschedule 5 min read

Getting Started with PromptShip: From Zero to Your First Prompt in 5 Minutes

A quick-start guide to PromptShip. Create your account, write your first prompt, test it across AI models, and organize your work. All in under 5 minutes.

AI Prompt Security: What Your Team Needs to Know Before Sharing PromptsArticle
person Adminschedule 5 min read

AI Prompt Security: What Your Team Needs to Know Before Sharing Prompts

Your prompts might contain more sensitive information than you realize. Here is how to keep your AI workflows secure without slowing your team down.

Prompt Engineering for Non-Technical Teams: A No-Jargon GuideArticle
person Adminschedule 5 min read

Prompt Engineering for Non-Technical Teams: A No-Jargon Guide

You do not need to know how to code to write great AI prompts. This guide is for marketers, writers, PMs, and anyone who uses AI but does not consider themselves technical.

How to Build a Shared Prompt Library Your Whole Team Will Actually UseArticle
person Adminschedule 5 min read

How to Build a Shared Prompt Library Your Whole Team Will Actually Use

Most team prompt libraries fail within a month. Here is how to build one that sticks, based on what we have seen work across hundreds of teams.

GPT vs Claude vs Gemini: Which AI Model Is Best for Your Prompts?Article
person Adminschedule 5 min read

GPT vs Claude vs Gemini: Which AI Model Is Best for Your Prompts?

We tested the same prompts across GPT-4o, Claude 4, and Gemini 2.5 Pro. The results surprised us. Here is what we found.

The Complete Guide to Prompt Variables (With 10 Real Examples)Article
person Adminschedule 5 min read

The Complete Guide to Prompt Variables (With 10 Real Examples)

Stop rewriting the same prompt over and over. Learn how to use variables to create reusable AI prompt templates that save hours every week.

pin_invoke

Token Counter

Real-time tokenizer for GPT & Claude.

monitoring

Cost Tracking

Analytics for model expenditure.

api

API Endpoints

Deploy prompts as managed endpoints.

rule

Auto-Eval

Quality scoring using similarity benchmarks.