TypeScript - the foundation of every serious codebase we build
Typed frontend and backend codebases that reduce regressions, accelerate onboarding, and support safe product growth over years.
How we use it
We use TypeScript on every production project - frontend, backend, and mobile. Strict mode is enabled by default. We configure TypeScript to act as the first layer of runtime-adjacent safety, then pair it with Zod for API boundary validation.
Best fit for
TypeScript is now used by 43% of JavaScript developers - up from 38% in 2023 - and is the fifth most widely used programming language overall (Stack Overflow Developer Survey, 2024). TypeScript 5.5, released in 2024, added inferred type predicates and isolated declarations that enable significantly faster type checking in large monorepos. More practically: with AI coding tools like Cursor and GitHub Copilot now accounting for a growing share of code written in production codebases, TypeScript types dramatically improve the accuracy of AI-generated suggestions. Teams writing untyped JavaScript are getting lower-quality AI assistance and accumulating bugs that typed code would catch at compile time.
What's included
Capabilities
Design system implementation
Responsive UI engineering (mobile-first)
Performance budgets & Lighthouse audits
Accessibility (WCAG 2.2) compliance checks
Analytics-ready component architecture
Fit analysis
Is this right for you?
Honest breakdown of where TypeScript Development shines — and where it doesn't. Pick the right tool.
When to choose this
Right fit scenarios
Your codebase is growing beyond a single developer and you need type information to make refactoring safe and onboarding new engineers faster
You are building a SaaS product or mission-critical application where a runtime type error in production causes data corruption or visible bugs for paying customers
You are consuming complex third-party APIs and want typed SDK integrations that catch integration mismatches at compile time rather than in production
Your team uses AI coding assistants - TypeScript types dramatically improve the accuracy and relevance of AI-generated suggestions for your specific codebase
You are building a monorepo with shared types between frontend, backend, and mobile - TypeScript eliminates an entire class of API contract bugs that appear at runtime in untyped systems
When to choose this
Right fit scenarios
Your codebase is growing beyond a single developer and you need type information to make refactoring safe and onboarding new engineers faster
You are building a SaaS product or mission-critical application where a runtime type error in production causes data corruption or visible bugs for paying customers
You are consuming complex third-party APIs and want typed SDK integrations that catch integration mismatches at compile time rather than in production
Your team uses AI coding assistants - TypeScript types dramatically improve the accuracy and relevance of AI-generated suggestions for your specific codebase
You are building a monorepo with shared types between frontend, backend, and mobile - TypeScript eliminates an entire class of API contract bugs that appear at runtime in untyped systems
Honest limitations
Not the best fit if…
Quick prototypes or proof-of-concept projects with a 1–2 week timeline where reaching a working demo is the sole priority
Small automation scripts or internal tools that a single developer will write, run once, and discard - the type overhead is not justified for throwaway code
Teams with no TypeScript experience on a hard deadline - the learning curve adds velocity overhead in the first 2–3 weeks that can compress a short project
Projects that are predominantly configuration files or data definitions with minimal dynamic business logic - there is little type value in typing static config