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AI-Powered Dev Workflow Kit

Ship faster with AI-native development practices

A practical system for integrating AI tools into every stage of your development workflow. Not a tools roundup — a cohesive methodology for using AI to plan, build, test, and deploy software as a solo developer or small team.

// at a glance

▸ 50+ pages of workflow patterns and techniques
▸ Covers multiple AI tools — not locked to one vendor
▸ Includes daily workflow templates and checklists
▸ Tested across a monorepo with 15+ apps in production

// who this is for

Solo developers and small teams who want a structured approach to AI-assisted development — not just autocomplete, but end-to-end workflow integration.

// table of contents

The AI-Native Mindset

Why AI-assisted development is a workflow change, not just a tool swap

Choosing Your Stack

Claude Code, Cursor, Copilot, Windsurf — when to use what and why

Project Setup for AI

Repository structure, instruction files, and conventions that make AI effective

Planning with AI

Architecture sessions, plan mode, and turning vague ideas into implementation specs

Building Features

Prompting for multi-file changes, incremental development, and staying in control

Testing & QA

AI-generated tests, visual regression, and validation workflows

Code Review with AI

Using AI as a reviewer, catching issues before merge, and maintaining quality

Debugging

Feeding errors to AI, bisecting issues, and systematic troubleshooting

Documentation

Auto-generated docs, README maintenance, and keeping docs in sync with code

CI/CD Integration

AI in your pipeline — automated PR descriptions, changelog generation, deployment checks

Productivity Patterns

Daily workflow rhythms, context switching, and managing multiple projects with AI

Measuring Impact

Tracking velocity, quality metrics, and knowing when AI is helping vs hurting