Agentic Coding
How autonomous AI agents are reshaping software development — from single-shot code generation to multi-step, tool-using coding workflows.
44 pages
Practical Guides
Step-by-step guides for real tasks, start to finish.
AI for Accessibility Testing
How AI tools can help identify and fix web accessibility issues, ensuring WCAG compliance.
AI-Assisted API Design
How to use AI tools to design, document, and implement RESTful and GraphQL APIs effectively.
AI Code Review
Build a human+AI code review pipeline.
Security Considerations in AI-Generated Code
A comprehensive guide to the security risks of AI-generated code and how to mitigate them through review, testing, and tooling.
AI for Data Processing Pipelines
Using AI to build ETL pipelines, data transformations, and analytics workflows.
AI-Assisted Database Design
Using AI to design database schemas, write migrations, optimize queries, and plan data models.
AI for DevOps and Infrastructure
How AI tools assist with infrastructure as code, container orchestration, monitoring, and incident response.
AI-Generated Documentation
How to use AI to create and maintain technical documentation, API docs, and developer guides.
AI-Enhanced Git Workflows
How to use AI tools for commit messages, PR descriptions, branch management, and git history analysis.
Code Migration Patterns with AI
How to use AI for migrating between languages, frameworks, and architectural patterns safely.
AI for Mobile App Development
Using AI coding tools for React Native, Flutter, Swift, and Kotlin mobile development.
AI Pair Programming Patterns
Effective collaboration patterns between human developers and AI coding assistants for maximum productivity.
AI Pair Programming
The practice of collaboratively coding with an AI assistant as your pair programming partner — strategies, patterns, and real-world workflows.
AI-Driven Performance Optimization
How to use AI to identify bottlenecks, optimize algorithms, and improve application performance.
AI-Assisted Refactoring
Patterns for using AI to safely refactor codebases — from variable renaming to architectural restructuring.
AI-Powered Security Scanning
How AI enhances traditional security scanning by understanding code semantics and identifying novel vulnerabilities.
AI for Serverless Development
Best practices for using AI to build serverless applications on AWS Lambda, Cloudflare Workers, and Vercel Edge Functions.
AI-Driven Test Generation
How to leverage AI to write comprehensive unit tests, integration tests, and end-to-end test suites.
Building Chrome Extensions via Prompts
A complete guide to vibing a Chrome extension into existence.
CI/CD Integration with AI Coding Tools
How to integrate AI-powered checks into CI/CD pipelines for automated code review, test generation, and documentation.
Context Window Management
Strategies for effectively managing AI context windows — selecting relevant files, pruning history, and maximizing code generation quality.
Cursor Rules Files
How to configure .cursorrules files to customize AI behavior for your specific project conventions and coding standards.
Debugging with AI
Identify root causes in seconds.
Error Handling Patterns for AI-Generated Code
Common error handling mistakes in AI-generated code and how to enforce robust error management through prompts.
GitHub Copilot Advanced Tips
Power user techniques for GitHub Copilot — keyboard shortcuts, workspace configuration, and strategies for getting better code suggestions.
LLM Temperature Settings for Code Generation
How temperature, top-p, and sampling parameters affect AI code output quality and when to adjust them.
Local LLM Setup for Coding
How to run AI coding models locally using Ollama, MLX, and llama.cpp for privacy-sensitive development.
MCP Protocol Deep Dive
Understanding the Model Context Protocol — how AI assistants connect to external tools, databases, and APIs.
Model Context Protocol (MCP) Servers
Understanding MCP servers — the standard protocol for connecting AI assistants to external tools, databases, and APIs.
AI Development in Monorepos
Challenges and strategies for using AI coding tools effectively in large monorepo environments.
Multi-File Editing
Orchestrate AI across components and services simultaneously.
Onboarding to New Codebases with AI
How to utilize AI to quickly understand undocumented code.
Optimizing SQL Queries with AI
Using AI to analyze slow query plans and rewrite joins.
Prompt Chaining for Complex Tasks
How to decompose complex coding tasks into chains of prompts that produce better results than single-shot prompts.
Prompt Engineering for Code Generation
Advanced techniques for crafting prompts that consistently produce high-quality, production-ready code from AI assistants.
RAG for Codebase Understanding
How Retrieval-Augmented Generation enables AI to understand and work with large codebases beyond context window limits.
Refactoring Legacy Code with AI
Modernizing outdated spaghetti code safely.
Security Considerations
Mitigate AI security risks like hallucinated packages.
Semantic Code Search
Using vector embeddings and semantic search to find code by meaning rather than exact text matching.
Setting Up Local LLMs for Coding
Running LLaMA or DeepSeek locally for absolute privacy.
Vibe Coding Anti-Patterns
Common mistakes developers make when working with AI coding assistants — and how to avoid them for more productive AI-assisted development.
Windsurf vs Cursor: AI IDE Comparison
A detailed comparison of Windsurf and Cursor — two leading AI-native IDEs — covering features, pricing, performance, and developer experience.
Automated Unit Testing Generation
Generating 100% coverage with edge cases using AI.