
CODE REVEALED
Leading Software Development 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.
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.
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.
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.
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.
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
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
