Lesson20 min

Ship Velocity vs. Code Quality

Where to move fast and where to enforce standards in AI-assisted work.

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This lesson is in the roadmap and will be published as the track is built out. The structure above shows exactly what's covered.

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Track

Claude Code Operator

0 / 34 lessons complete

Environment + Workspace Setup

◎Choosing Your AI Engineering Stack

◎Dev Environment Setup

◎CLAUDE.md Architecture

◎Project Settings & Permissions

◎Your First Agentic Task

◎IDE Integration & Keybindings

Production Prompt Engineering

◎Anatomy of a Production Prompt

◎Context Loading Strategies

◎Task Decomposition for Agents

◎Prompt Failure Patterns

GitHub Workflow Systems

◎Git Operations with Claude Code

◎Branch Strategy for AI Work

▶Bad Commit Recovery

◎PR Review Workflow

Vercel Deployment + Recovery

◎Deployment Pipeline Setup

▶Build Failure Diagnosis

◎Environment Variables & Secrets

▶Rollback Strategies

WordPress + REST API Operations

◎WP Authentication Patterns

▶Content Patching System

⬡Bulk Operations at Scale

◎Error Handling & Rollback

AI-Assisted Product Development

◎Feature Planning with Claude

◎Agentic Task Architecture

◎Testing AI-Generated Code

◎Ship Velocity vs. Code Quality

Debugging + Failure Recovery

◎Debugging Methodology

◎Reading Build Errors

⬡Runtime Failure Diagnosis

◎Post-Mortem Process

Scaling AI Execution Systems

◎Multi-Agent Orchestration

◎CI/CD Pipeline Integration

⬡AI Ops Monitoring Dashboard

◆Your Personal Ops Playbook

Track overview