- 1:Chapter 1 – Always Two
- The Philosophy Behind Always Two
- Big Teams vs. Small Teams: Why Size Matters
- Why Two People? The Power of a Duo
- The Two Key Roles in an Always Two Team
- The Rules of Always Two
- AI as the Force Multiplier
- Always Two, Always Focused, Always Shipping
- The Competitive Advantage
- 2:Chapter 2 – The Nervous System
- The Architecture of Feature-Centric Communication
- The Embedded AI Agent
- Conflict Resolution Through AI Mediation
- The Emergence of Natural Status
- Implementation Today
- Build Next (Engineering Notes)
- Roadmap
- The Vision Realized
- 3:Chapter 3 – Product Delivery, Ownership, and Governance
- From Ship to Operate: Code + Memory
- Ownership: Code, Feature, and Product
- AI-Driven Governance and Escalation
- Continuous Metrics and Transparency
- Tools and Practices Today
- Building Towards the Future
- The Paradigm Shift
- 4:Chapter 4 – The Interview: Finding Builders, Not Priests
- Beyond Pedigreed Skills
- 1. The First Prompt Test
- 2. The Generalist Principle
- 3. The Builder’s Mindset
- 4. Signals to Watch For
- 5. The Anti-Signals
- The Interview Strategy
- Closing: Always Two, Always Generalist, Always Building
- 5:Chapter 5 – Implementation & Transformation: Making Always-Two a Reality
- Implementation Roadmap: From Theory to Practice
- Cultural Change Management
- Real-World Case Studies
- Measuring Success
- Common Pitfalls and Mitigation
- The Path Forward
- Call to Action
- 1:Chapter 1 – Always Two
Building Dev Teams For Tomorrow
Always Two. AI-Powered. Future-Ready.
Big teams slow down. Small, AI-powered teams move fast.
This book shows how two people + AI can ship features faster, cheaper, and with less noise—using processes you can run with today’s tools.
The authors are letting you choose the price you pay for this book!
Buying multiple copies for your team? See below for a discount!
Big teams slow down. Small, AI-powered teams move fast.
This book shows how two people + AI can ship features faster, cheaper, and with less noise—using processes you can run with today’s tools.
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About
About the Book
Building Dev Teams For Tomorrow is a practical playbook for creating two-person, AI-augmented teams that outdeliver traditional groups.
Instead of drowning in coordination, these “Always Two” teams organize around features, ship with embedded memory, and measure progress with metrics that matter.
The book covers structure, communication, governance, hiring, and change management—so you can start small, scale responsibly, and thrive in the AI era.
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Author
About the Authors
Muthukumaran Navaneethakrishnan
Muthukumaran Navaneethakrishnan has over 20 years of experience as a software developer, working with languages such as Java, JavaScript, Clojure, and Golang. Even as he serves in roles such as engineering manager and architect, he continues to engage daily in coding, demonstrating his enduring passion for hands-on software development. His work has been featured by prominent publishers like Leanpub, O'Reilly, and Manning.
In the open-source community, Muthukumaran is highly active, contributing to projects like Spring AI and developing numerous other libraries. He is dedicated to creating proof of concepts, reviewing codebases to enhance scalability, performance, and security, and building tools that improve the developer experience. He specializes in quickly resolving urgent issues, ensuring systems are both robust and efficient.
Prabagar Ganapathy
Highly accomplished IT professional with over 25 years of experience in the Telecom domain, specializing in designing and developing data-driven software applications for medium to large-scale projects. Proven expertise in Java, J2EE, and J2ME technologies.
Key Strengths
- Telecom Domain Expertise: Extensive experience in providing solutions for Business Support Systems (BSS) and Operations Support Systems (OSS).
- Project Management: Dynamic project manager and leader with a proven track record of identifying critical requirements and delivering results.
- Technical Proficiency: Skilled in a range of technologies, including Java, J2EE, Servlets, JSP, RMI, JDBC, XML, and more.
- Software Development Life Cycle: Proficient in Requirement Analysis, Design, Development, Testing, and Operations.
Contents
Table of Contents
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