Real Engineering Workflows
End-to-end patterns for real teams on real codebases. Everything from the previous sections comes together here.
The full lifecycle from reading a ticket to a green PR — Plan Mode, clarifying questions, implementation, semantic commits, and autonomous CI monitoring with /loop.
How to decompose work, assign file ownership, and run 3+ Claude Code sessions in parallel — shifting from a single AI-augmented developer to a manager of parallel AI-powered workstreams.
Claude Code's hierarchical CLAUDE.md loading is purpose-built for monorepos. How to structure per-package configs, define cross-cutting rules at the root, use sparse checkouts for large repos, and apply /batch across all packages simultaneously.
How to decompose, execute, and merge large-scale codebase changes — deprecated API migrations, naming standardization, dependency upgrades — using /batch, agent teams, and a disciplined merge strategy.
Multi-pass code review using Plan Mode, subagent-based parallel review, /ultrareview for pre-merge quality gates, and Claude Code Security for semantic vulnerability scanning.
/insights analyzes 30 days of your actual Claude Code usage to surface personalized improvement suggestions. /team-onboarding generates a structured ramp-up guide from your config and usage patterns — not generic documentation, but how to work in this codebase with Claude Code specifically.
Evidence-first debugging with Claude Code: gathering logs, screenshots, and traces; hypothesis-driven investigation; safe database MCP queries; browser MCP live investigation; and the fix workflow from reproduction to post-mortem.
AI coding tools aren't about doing the same work faster — they're about expanding what you attempt. An honest look at what works, what fails, and what the comprehension research actually says.