Technology Stack

This page documents the core technologies, frameworks, and tools used across my projects. The stack reflects deliberate, experience-driven choices focused on maintainability, portability, and long-term viability rather than short-lived trends.

While individual tools may evolve, the underlying selection criteria remain consistent.

Languages & Runtimes

I primarily work with languages and runtimes that offer strong ecosystems, predictable behavior, and suitability for both small tools and larger systems.

• HTML, CSS, JavaScript – Foundational technologies for web interfaces and client-side behavior.
• Node.js – Tooling, APIs, automation, and server-side JavaScript workloads.
• Python – Data processing, scripting, automation, and analysis tasks.
• Go – Command-line tools, services, and performance-sensitive systems.
• Shell scripting – Lightweight automation and environment-level tasks.

Additional languages are evaluated when domain-specific requirements justify their use.

Frameworks & Platforms

Frameworks are selected to provide structure without obscuring behavior, favoring clarity and debuggability over heavy abstraction.

• Bootstrap – Primary UI framework for responsive, maintainable front-end development.
• Static site generators – Documentation sites and content-driven projects.
• WordPress and Ghost – Publishing platforms for long-form content and newsletters.
• Node-based build tooling – Task runners, bundlers, and project scaffolding.

Framework adoption is driven by project scope, longevity, and operational cost.

Tooling & Infrastructure

The tooling stack prioritizes reproducibility, version control discipline, and minimal operational overhead.

• Git & GitHub – Source control, issue tracking, code review, and releases.
• npm – JavaScript package management and dependency distribution.
• CI/CD pipelines – Automated builds, tests, and deployments where appropriate.
• Cloud hosting – Lightweight infrastructure for APIs, static sites, and services.

Preference is given to tools with stable interfaces, strong documentation, and broad community adoption.

Workflow Principles

Rather than fixed processes, development follows a set of guiding constraints that scale across projects.

• Build incrementally and validate assumptions early.
• Prefer explicit configuration and predictable behavior.
• Minimize dependencies and hidden coupling.
• Document decisions, limitations, and tradeoffs.
• Optimize for maintainability and handoff, not velocity alone.

These principles apply consistently across libraries, software systems, datasets, and templates.

Defaults & Conventions

Projects tend to share common structural and operational defaults.

• Flat, readable project layouts.
• Clear naming and documentation standards.
• Open-source licensing by default.
• Plain-text, interoperable data formats.
• Minimal setup required to run or contribute.

These conventions reduce friction for both maintainers and downstream users.

Looking Ahead

This stack represents a working baseline rather than a fixed prescription. Tools are adopted or replaced only when they materially improve reliability, clarity, or maintainability.

The emphasis remains on durable systems and transparent design rather than rapid experimentation for its own sake.