HOW-TO GUIDES

A step-by-step guide to installing, configuring, and validating your first AI coding assistant. Covers editor integration, API keys, and initial configuration for maximum productivity.

Master the art of prompting AI coding tools to generate accurate, production-ready code. Learn prompt patterns, context management, and iterative refinement techniques.

Structure your codebase so AI tools can understand and modify it effectively. Learn coding patterns, documentation practices, and project organization for optimal AI assistance.

Configure VS Code for optimal AI-assisted development. Covers extension setup, keyboard shortcuts, context management, and multi-tool configurations.

Learn how to leverage AI tools to catch bugs, enforce standards, and speed up code reviews. Covers automated review workflows, prompt strategies, and integration with PR pipelines.

Generate comprehensive test suites with AI tools. Learn to create unit tests, integration tests, and edge case coverage that actually catches bugs.

Develop a systematic approach to reviewing AI-generated code. Learn what to check for, common AI mistakes, and how to build confidence in AI output quality.

Perform AI-assisted security audits on your codebase. Learn to identify vulnerabilities, audit dependencies, and implement security best practices with AI guidance.

Safely modernize legacy codebases using AI tools. Learn incremental refactoring strategies, migration patterns, and how to maintain backward compatibility.

Orchestrate multiple AI agents working on different parts of your codebase simultaneously. Learn task decomposition, agent coordination, and conflict resolution strategies.

Run AI coding agents with minimal supervision to complete complex tasks. Learn to set up guardrails, define clear objectives, and verify autonomous agent output.

Execute large-scale codebase migrations using AI tools. Covers framework upgrades, language migrations, API version transitions, and dependency updates.

Identify and fix performance bottlenecks with AI assistance. Covers profiling analysis, algorithmic optimization, caching strategies, and database query tuning.

Combine multiple AI coding tools for maximum productivity. Learn which tools complement each other, how to avoid conflicts, and optimal multi-tool workflows.

Accelerate debugging with AI-powered root cause analysis. Learn to provide effective error context, trace complex bugs, and use AI to generate targeted fixes.

Build robust APIs faster with AI assistance. Covers schema design, endpoint generation, validation, documentation, and testing for REST and GraphQL APIs.

Create and maintain technical documentation using AI tools. Learn to generate API docs, architecture guides, inline comments, and onboarding materials efficiently.

Write and optimize database queries with AI assistance. Covers SQL generation, query performance analysis, schema design, and migration planning.

Build a complete full-stack application from scratch using AI tools. Learn to scaffold projects, generate backend and frontend code, and deploy production-ready apps.

Build modern frontend interfaces with AI assistance. Covers component generation, responsive design, state management, and accessibility compliance.

Automate your DevOps workflows with AI assistance. Covers CI/CD pipeline generation, infrastructure as code, monitoring setup, and deployment automation.

Build mobile applications with AI coding assistance. Covers React Native, Flutter, and native development with AI-generated components, navigation, and platform-specific code.

Build and optimize data pipelines with AI assistance. Covers ETL generation, data validation, schema evolution, and pipeline monitoring.

Reduce AI coding tool expenses without sacrificing productivity. Learn token optimization, model selection strategies, caching, and cost monitoring techniques.

Roll out AI coding tools across your development team. Covers adoption strategies, governance, shared configurations, and measuring productivity impact.