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Stop suffering from complexity. Orchestrate it. Every morning, thousands of CTOs wake up to the same nightmare: despite brilliant teams and cutting-edge technology, their organization is getting bogged down. The harder they push, the more quality suffers. The more they optimize locally, the more the global system degrades. This isn't a leadership failure—it's a systemic problem.

From 15 to 1000+ developers: A CTO's odyssey Follow Alex, a CTO navigating the growth crises you're experiencing:

Year 1 (15→50 devs): Surviving technical debt accumulating at 67% per year
Year 2 (50→200 devs): Scaling without breaking, ending the Product-Tech war
Year 3 (200→500 devs): Absorbing acquisitions, becoming antifragile
Year 5 (1000+ devs): Orchestrating hypergrowth while preparing for IPO

Your systemic transformation arsenal: ✓ MAMOS Framework: Diagnose where your system really loses velocity (Methods, Architecture, Management, Organization, Skills) ✓ 3A Cycles: Act-Learn-Adapt in 30 days. No more \"big bangs\", only incremental transformations that work ✓ MVM (Minimum Viable Move): Test your change hypotheses with maximum learning and minimum risk ✓ Metrics that matter: DCR, Lead Time, Sustainable Velocity, Team NPS—the only KPIs that predict success

12 critical challenges solved with real cases:

Systemic framework: See your organization as a living system, not a machine
Technical debt: Transform DCR from 67% to under 10%
Production excellence: From vanity monitoring to life-saving metrics
Product-Tech symbiosis: End the trench warfare, co-create value
Human scaling: Multiply without diluting (OCR from 60% to 20%)
Antifragility: Stronger after each failure, cultural chaos engineering
Tech M&A: Digest without destroying (90% post-acquisition retention)
Evolutionary architecture: Boring is beautiful, automated fitness functions
Managing 1000 people: 5 metrics suffice, 24h decision velocity
10x hypergrowth: Revenue/dev from €500k to €2M
Strategic CTO: From builder to board member
Systemic AI: 50% generated code without losing control

Documented results from organizations applying this approach:

Lead time: 3 weeks → 3 days → 3 hours
Technical debt (DCR): 67% → 20% → 5%
Team NPS: -30 → +60 → +80
Sustainable velocity: 0.3 → 2.0 → 10.0

This book is not theoretical. Each chapter contains:

A lived crisis moment as trigger
Real (anonymized) evolving characters
Field-tested MVMs
Verifiable before/after metrics
Immediately applicable templates

For whom?

CTOs managing 10 to 1000+ developers
VPs Engineering facing the complexity wall
Ambitious Tech Leads preparing their evolution
Technical founders in scaling-up phase

Your transformation starts now. The first 3A cycle takes only 30 days. In 90 days, your organization will be unrecognizable—in a good way.

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