CODE REVEALED

CODE REVEALED

Leading Software Development in the Age of AI Agents

Transform Your Development Team Into an AI-Powered Force: The Complete Guide to Leading Software Teams in the Age of AI Agents.

Are you ready to lead the AI revolution instead of being overwhelmed by it?

While most organizations struggle with AI adoption, forward-thinking leaders are already transforming their development teams into AI-powered forces. This isn't about replacing developers—it's about exponentially amplifying their capabilities.

A practical and inspiring guide: excellent insights on how to guide a team in the era of AI Agents

Head of Digital Solutions

What You'll Master

You'll discover how to:

Transform developers into AI orchestrators without losing code quality

Assess organizational maturity for responsible AI adoption

Measure AI impact with specific KPIs and success metrics

Navigate the transition from Vibe Coding to Agent Supervision

Build teams that leverage AI while maintaining human oversight

Create sustainable competitive advantages through intelligent automation

What Professionals Say

In a landscape where AI evolves with the speed and unpredictability of a storm, this book stands as a guiding light. It not only illuminates the possibilities of intelligent agents but achieves the ambitious goal of guiding toward conscious and responsible use of these tools.

Francesco Ciocia

Head of IT and Digital Transformation, Ca'Zampa (AUSED Member)

Code Revealed emerges as a pragmatic and indispensable guide for the transformation of software development in the age of AI agents, enabling industry professionals to become protagonists of this change.

Luca Bonesini

Country Sales Leader HeatWave MySQL, Oracle

Particularly enlightening are the reflections on new professional profiles made essential by Generative AI. An indispensable text for those who want to lead the change.

Antonio Salis

Senior Project Manager

4 Proprietary Frameworks You Won't Find Anywhere Else

RACM

Ready, Align, Consider, Measure

Framework to assess organizational maturity in AI agent adoption:

  • Ready: Assessment of technological and organizational readiness
  • Align: Alignment with business and technological objectives
  • Consider: Ethical, legal, and security considerations
  • Measure: Success metrics and ROI

Ideal for evaluating whether your organization is ready to adopt AI agents and identifying infrastructure and skills gaps.

Scopri di Più

ECF

Effective Human-AI Collaboration

Methodology to optimize collaboration between humans and AI in development teams:

  • Clear definition of roles and responsibilities
  • Communication and handoff protocols
  • Management of trust and control
  • Collaborative effectiveness metrics

Transform your developers into AI orchestrators without losing code quality.

Scopri di Più

PAIP

Practical AI Integration Patterns

Architectural patterns for practical AI agent integration into your systems:

  • Multi-agent orchestration patterns
  • Fallback and recovery strategies
  • Validation and quality gate pipelines
  • Integration with existing CI/CD

Implement AI in your workflows without overhauling existing architecture.

Scopri di Più

RAUC

Responsible AI Usage Checklist

Operational checklist to ensure ethical and compliant AI use:

  • Compliance with EU AI Act and regulations
  • Privacy and sensitive data management
  • Behavioral drift monitoring
  • Audit trail and accountability

Protect your organization from legal and reputational risks in AI adoption.

Scopri di Più

Who This Book Is For

CTOs & Tech Directors

Define AI adoption strategies and governance for your organization with tested frameworks and concrete metrics.

Engineering Managers

Reorganize teams and processes to maximize AI benefits while maintaining quality and control.

Team Leaders

Transform your team into AI orchestrators with practical patterns and ready-to-use operational checklists.

The Author

Alexio Cassani

Alexio Cassani

CTO, academic researcher, entrepreneur, and teacher. These frameworks don't come from theory: every pattern, checklist, and lesson derives from real field experiences, errors made and resolved, measurable metrics in production contexts.

20+ Years

Technology Leadership

Researcher

AI & Software Engineering

CTO

Multiple Organizations

Day-0 Practitioner

AI in production since day zero

The Beginning

  • Paying Cursor user since April 2023: day-0 practitioner when AI agents started showing concrete capabilities
  • Unique combination: CTO, researcher, entrepreneur, teacher perspectives
  • Identified "Vibe Coding" and "AI-Assisted Coding" by observing real teams
  • The Critical Gap

  • Vendors promised miracles while real teams faced concrete problems
  • Gap especially visible in enterprise: 5+ person teams, complex legacy code
  • Missing practical, immediately applicable guide for CTOs and team leaders
  • The Response

  • FairMind Platform: systematic AI integration based on 20 years of enterprise project experience
  • This Book: frameworks (RACM, ECF, PAIP, RAUC) from thousands of hours in the field
  • Transparency: acknowledged potential conflict of interest, commitment to impartiality
  • Unlock Exclusive Resources

    The private area is coming soon with:

    Interactive tool to assess your organization's AI maturity

    Downloadable framework templates ready to use

    Exclusive video tutorials and deep dives

    Community access and Q&A with industry experts

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    Ready to Lead the Transformation?

    In the AI era, the fastest way to fall behind is to stand still

    7 proprietary frameworks for systematic AI integration

    Real ROI calculations with token costs and timeline projections

    Team reorganization blueprints tested in the field

    Quality Assurance patterns specific for AI-assisted development

    Ready-to-use templates you can implement Monday morning