Database

Form handling, validation, and submission patterns with HTMX

Infinite scroll and lazy loading patterns using HTMX revealed and intersect triggers

Progressive enhancement strategies for building HTMX applications that work without JavaScript

Real-time updates with the HTMX WebSocket extension and server-sent events

Animation utilities, transitions, custom keyframes, and motion patterns with Tailwind CSS

Common UI component patterns including cards, navbars, forms, modals, and badges built with Tailwind CSS

Customizing tailwind.config.js to extend themes, add custom colors, fonts, spacing, and configure content paths

Dark mode strategies including class-based toggling, media queries, and CSS variable theming with Tailwind CSS

Utility-first CSS fundamentals with Tailwind including class composition, spacing, typography, and layout primitives

Writing custom Tailwind CSS plugins to add utilities, components, base styles, and variants

Responsive breakpoints, mobile-first design patterns, and adaptive layouts with Tailwind CSS

Tailwind CSS v4 breaking changes, new features, and migration guide from v3 to v4

Biome linter, formatter, and code analysis configuration for JavaScript and TypeScript projects

esbuild bundling, transpilation, and build scripting for ultra-fast JavaScript builds

ESLint and Prettier combined setup for JavaScript and TypeScript linting and formatting

Rollup configuration for building JavaScript libraries with tree shaking and multiple output formats

SWC compiler configuration for fast TypeScript and JavaScript transpilation and minification

TypeScript compiler configuration, project references, and tsconfig best practices

Vite configuration, plugins, and dev server optimization for modern JavaScript projects

Webpack 5 setup, optimization, code splitting, and plugin configuration for JavaScript applications

Anthropic Claude API integration for messages, streaming, and tool use

Text embeddings and semantic search with vector databases for LLM applications

Function/tool calling patterns for connecting LLMs to external APIs and data sources

LangChain orchestration for chains, agents, memory, and retrieval workflows

OpenAI API integration patterns for chat completions, embeddings, and assistants

Building retrieval-augmented generation pipelines with document ingestion, retrieval, and synthesis

Streaming LLM responses with SSE, WebSockets, and backpressure handling

Vercel AI SDK for streaming LLM responses in React, Next.js, and edge runtimes

Build artifact handling, dependency caching, container image management, and artifact registry patterns for CI/CD

Buildkite pipelines including dynamic pipeline generation, agent targeting, plugins, and hybrid cloud CI/CD

CircleCI configuration including orbs, workflows, executors, and pipeline parameterization for CI/CD

Blue/green, canary, rolling, and feature-flag deployment strategies with platform-specific implementation patterns

Managing secrets, environment variables, deployment environments, and configuration across CI/CD pipelines

GitHub Actions workflows for CI/CD automation including reusable workflows, matrix builds, and deployment pipelines

GitLab CI/CD pipelines including multi-stage builds, includes, rules, and Auto DevOps configuration

Jenkins declarative and scripted pipelines including shared libraries, agents, and plugin-based CI/CD workflows

Expert guidance on data cleaning and preprocessing techniques for preparing raw data for analysis and modeling.

Expert guidance on feature engineering patterns for transforming raw data into predictive ML features.

Expert guidance on Jupyter notebooks for interactive data exploration, documentation, and reproducible analysis.

Expert guidance on Matplotlib for creating static, animated, and interactive visualizations in Python.

Expert guidance on NumPy for numerical computing, array operations, and linear algebra in Python.

Expert guidance on Pandas for tabular data manipulation, transformation, and analysis in Python.

Expert guidance on Polars for high-performance dataframe operations with a lazy query engine in Python.

Expert guidance on scikit-learn for building, evaluating, and deploying machine learning models in Python.

Array and string manipulation patterns for technical coding interviews

Behavioral interview preparation using the STAR method and leadership principles

Time and space complexity analysis for technical coding interviews

Dynamic programming patterns and techniques for technical coding interviews

Linked list, stack, and queue patterns for technical coding interviews

SQL query patterns and database concepts for technical coding interviews

System design interview framework and common architecture patterns

Tree and graph algorithm patterns for technical coding interviews

Ethical techniques for handling CAPTCHAs, rate limiting, and bot detection while scraping responsibly

HTML and XML parsing with Beautiful Soup in Python for flexible data extraction

Fast server-side HTML parsing and data extraction with Cheerio using jQuery-like syntax

Patterns for building robust scraping data pipelines with validation, deduplication, storage, and monitoring

Cross-browser web scraping with Playwright, supporting Chromium, Firefox, and WebKit

Headless Chrome browser automation with Puppeteer for scraping dynamic, JavaScript-rendered pages

Production-grade web scraping framework in Python with built-in crawling, pipelines, and middleware

Browser-based web scraping and automation with Selenium WebDriver across multiple languages