I’m Daniel Garcia, a TypeScript Engineer with a B.Sc. in Software Engineering from Universidad Politécnica de Madrid. Since 2014, I’ve been architecting front‑end and full‑stack applications using TypeScript, Node.js, and modern frameworks. My journey spans fintech dashboards, developer tooling, and scalable web platforms designed for enterprise use.
My passion lies in bringing rigor to JavaScript development-by enforcing types, crafting clean architecture, and improving DX (developer experience). I review TypeScript books not just to compare syntax, but to examine how each title aids in building robust, type-safe, production-ready systems. My goal is to help readers evolve from “JS with types” to fully typing their applications for long-term maintenance and quality.
My Core Principles in Development
I believe strongly in code that’s self-documenting, scalable, and tested. Types help enforce correctness and convey intent. Maintainability is a team sport-my job is to elevate code quality across the board.
I value:
- Expressive type definitions over comments
- Modular architecture and clean separation
- Automated tests with type safety
- Developer tools that catch mistakes early
- Collaborative code reviews
- Lean dependencies and minimal abstractions
- Continuous learning and iteration
From Type Safety to Team Velocity: My Work in TypeScript
I’ve contributed to projects used by thousands daily, always with type safety and maintainability in mind.
My Key Projects:
DashboardPro. Enterprise analytics dashboard using React, TypeScript, and GraphQL. I defined typed schemas, built reusable UI components with strong typed hooks, and improved compile-time safety. Integrated codegen for GraphQL types, reducing runtime errors and enabling safe refactors.
ModuleForge. Internal tool at a developer platform company to scaffold boilerplate modules. Built with Node.js, TypeScript, and Yeoman-users generate templates with typed interfaces, ready-to-use tests, and setup CI/CD stubs. Result: developer onboarding time reduced by 40%.
PackageHub. A package publishing interface built with Vue 3 and TypeScript. I led the implementation of UI type checking, validated forms with Zod, and integrated APIs with typed Axios clients. Ensured full code coverage for critical flows like publishing and rollback.
LoggerCLI. Command-line orchestrator for logging pipelines. Built with Deno, TypeScript, and Oak-supports plugins, typed configuration, and monitors structured logs. Single binary with no build step-uses TypeScript metadata at runtime for validation.
DevTrack. Developer productivity tool built with Electron, React, and TypeScript. I managed IPC communication, defined shared types across main and renderer processes, and shipped updates through Squirrel. Ensured type-safety in cross-process communication.
The TypeScript-Centric Stack I Use to Build Scalable Web Applications
As a TypeScript Engineer, I specialize in building reliable, maintainable, and type-safe frontend and full-stack applications. TypeScript is at the heart of everything I write - from UI components to backend logic - enabling better tooling, clearer contracts, and safer refactoring. I focus on creating developer-friendly architectures that scale well and integrate smoothly with modern build tools, frameworks, and APIs.
Below is a breakdown of the technologies I use daily and how they shape the way I build software:
| Technology | Using Since | How I Use It in Practice |
| TypeScript | 2017 | My main language for frontend and backend development. I use advanced types to ensure safety across modules, enforce contracts, and support better code navigation and tooling. |
| React + TS | 2018 | I build complex UI components and applications with React, fully typed with TypeScript. I use React Query, context, and hooks to manage state and side effects cleanly. |
| Next.js | 2020 | My preferred React framework for SSR and hybrid rendering. I build SEO-friendly and performant apps with API routes, file-based routing, and TypeScript support baked in. |
| Zod / Yup | 2021 | I use these libraries for runtime schema validation in TypeScript projects - particularly with forms and APIs - ensuring data integrity beyond static typing. |
| ESLint & Prettier | 2019 | I configure strict linting and formatting rules across all TypeScript codebases to enforce consistency, reduce bugs, and support team collaboration. |
| tRPC | 2022 | I use tRPC for full-stack TypeScript type safety between client and server - no need for manual API schema definitions. It accelerates development without sacrificing structure. |
| Vite | 2021 | My go-to tool for lightning-fast development builds. I configure Vite with TypeScript and React for blazing speed and modular architecture. |
| Jest + React Testing Library | 2018 | I write comprehensive unit and integration tests with full TypeScript typings. I focus on behavior-driven testing, mocking APIs, and verifying component logic. |
New to TypeScript? Here’s What I Recommend
- Start with book "Learn React with TypeScript" by Carl Rippon
- Pure TS first: types, interfaces, generics
- Enabling strict mode
- Type-safe HTTP clients
- Using type-checked schema validators (Zod)
- Adding return types to functions
- Maintaining type coverage during refactors
- Reading TypeScript release notes
FAQ: Real Questions from Developers
When should I add TypeScript to an existing JS project?
Add it in phases: create jsconfig.json, then rename files to .ts. Start with --noImplicitAny and fix gradually. Migrate critical files first-models, API contracts, validation code. By enabling strict flags incrementally, you gain compile-time safety without rewriting everything at once.
How do generics improve code reuse?
Generics allow functions and classes to operate over multiple types with type safety. For instance, a Response<T> wrapper or generic data fetch hooks. They reduce boilerplate and bugs by ensuring consistent type relationships across structures-without losing flexibility.
Can TS types speed up runtime?
No, TS erases at compile time. But strict Typing prevents many bugs before they reach production. Better tooling ensures code clarity, prevents runtime type errors, and aids maintainability, which in turn speeds up development and reliability.
How can I model API responses safely?
Use code generation or runtime validators. Tools like GraphQL Codegen or OpenAPI Generator give typed APIs. If working with dynamic data, use validators like Zod to parse and infer types at runtime-getting runtime safety with compile-time assurance.
Should I pair test coverage with TS coverage?
Absolutely. Type safety catches many mistakes, but tests ensure behavior correctness. Use coverage tools (like Istanbul) and type coverage reporters (type-coverage-cli) together. Aim for strong test suites in core modules, supported by type-checking on every build and PR.
