Generic Answers to Specific Problems
AI suggests standard solutions. Auth fixes that ignore your OAuth setup, query optimizations that miss your sharding strategy. Context is everything, and it's missing.

From chaos to confidence. From AI experimentation to systematic team practice.
Learn how to integrate Claude Code into real development workflows. Not as a novelty, but as a professional tool. Through one team's 26-day journey.
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Turning AI into a team member.
AI suggests standard solutions. Auth fixes that ignore your OAuth setup, query optimizations that miss your sharding strategy. Context is everything, and it's missing.
Competitors integrate AI systematically. You're burning hours on prompts that miss your architecture. The gap isn't tooling. It's methodology.
Dependencies hidden. Reviews catch style, miss logic. PRs pile up. Quick fixes turn into 3-week refactors. AI could help, but only with systematic workflows, not ad-hoc prompts.
Your CTO saw the demos. Now you need production-grade AI adoption. The pressure is real. The systematic approach? Still missing.
Learn the methodology that transforms AI from chaotic experimentation to repeatable team practice.
Days 1–5: From Chaos to Systematic Collaboration
Days 6–14: Knowledge Extraction to Production Mastery
Days 15–26: Team Excellence to Organizational Change
Follow one team's journey from impossible deadlines to systematic excellence
Get the BookMarcus stared at the calendar on his screen, feeling the familiar weight of an impossible deadline settling onto his shoulders. Four weeks. They had four weeks to fix critical production issues: session handling causing 35% cart abandonment, performance problems drowning their support team, and security gaps threatening compliance. Problems that would normally take three months to resolve properly.
The Monday morning meeting revealed the full scope. Thirty-five tickets. Six months of work. Four weeks to deliver, or lose 40% of company revenue. Marcus watched his team (Sam, Jordan, Ryan) absorb the impossible math.
""I learned this at a workshop I attended a few weeks ago," Jordan explained. "Teams achieving these impossible-looking results? They're using systematic approaches, not magic. Treat AI like a talented junior developer: explicit boundaries, proper context, clear review process. That's the pattern that works."
Sam was skeptical. They'd tried AI tools before. Generic suggestions that ignored their specific complexity. But Jordan insisted this wasn't about clever prompts. It was about systematic methodology. Context architecture. Progressive analysis.
That's when everything changed...
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Software Engineer, 10+ Years Production Experience
Andy Guzik is a software engineer with over a decade of experience building production systems for the travel industry, education platforms, enterprise cybersecurity, and AI-powered SaaS. Working primarily with React, TypeScript, and modern JavaScript tooling, he's built everything from IoT monitoring systems with interactive mapping to Zero Trust security solutions to large-scale e-commerce platforms for major European retailers.
This book teaches systematic AI collaboration methodology through professional narrative. Not theory, but realistic workplace scenarios showing teams under production pressure. It bridges the gap between AI hype and professional reality, demonstrating how talented developers can adopt AI assistance responsibly without sacrificing engineering judgment.
Between the headlines claiming "AI will change everything" and the reality of "here's how to use it professionally" lies a gap few have bridged. This book closes that gap with systematic methodology informed by professional software development practices. Not hype, but repeatable patterns that respect both AI's power and the irreplaceable value of human engineering judgment.
"A pleasant story about how AI can enhance coding and project management. A great introduction to the vast world of Claude Code. The author promotes the idea that, ultimately, humans remain responsible for the results of AI's work - a view I fully share. This book isn't a manual; it tackles something far more important - it teaches how to think about working with AI. For technical details, we have documentation; for understanding the mindset behind AI collaboration, we have Claude and the Code. Highly recommended."
Kamil
Early Reader
| Feature | This Book | Generic AI Tutorials | Productivity Guides |
|---|---|---|---|
| Approach | Systematic thinking | Copy-paste commands | Magic solutions |
| Examples | Realistic scenarios | Toy examples | Inspirational hype |
| Scope | Stack-agnostic | Framework-specific | Tool-dependent |
| Audience | Team transformation | Individual tips | Personal habits |
This Book
Systematic thinking
Generic AI Tutorials
Copy-paste commands
Productivity Guides
Magic solutions
This Book
Realistic scenarios
Generic AI Tutorials
Toy examples
Productivity Guides
Inspirational hype
This Book
Stack-agnostic
Generic AI Tutorials
Framework-specific
Productivity Guides
Tool-dependent
This Book
Team transformation
Generic AI Tutorials
Individual tips
Productivity Guides
Personal habits
9 chapters, ~29,000 words of professional guidance
Stack-agnostic methodology (works with any language/framework)
Focus: Professional teams, not solo hobbyists
Covers: Security testing, code reviews, production practices
Format: EPUB, PDF - DRM-free
Follow a 26-day journey from impossible deadline to systematic mastery. 9 chapters of professional patterns for development teams.
EPUB, PDF • DRM-free • Instant download
Available now