Uses

Primary development machine with 16GB RAM — handles everything from Flutter compiling to running local ML tests.

27" 1440p display. More screen real estate = more code context = fewer bugs.

Brown switches. Tactile feedback helps write clean, deliberate code with a great sound profile.

Primary editors. Used VS Code for web and scripting; Android Studio for compiling and debugging Flutter targets.

High performance terminal with AI command suggestions and workspace logs.

Excellent for boilerplate, test setup, and repetitive model attributes.

My primary framework for mobile engineering. I leverage hot reload and custom canvases to build fluid, native contractor applications.

For building fast, scalable REST APIs, handling webhooks, and backend orchestration.

Used for writing data processors, prompt engineering test beds, and fine-tuning ML models.

Used to build high-performance web frontends and interactive tools.

For orchestration of stateful multi-agent systems and custom LLM tool-calling graphs.

My primary model architectures for reasoning, layout generation, code translation, and developer assistants.

Replaced traditional search engines for semantic developer research and finding current technical docs.

My second brain. Content calendar, project tracking, and design mockups all in one place.

Issue tracking for my projects. Keyboard-driven, fast, and stays out of the way.

Deploy every Next.js project here. Preview deployments and analytics are game-changers.

Deploying Flutter builds to production for public distribution.

Backend-as-a-service providers for database, authentication, and push notifications for SnapQuote AI.