A Series by Vinod Kurien Alex

The Engineering
Manager's
AI Playbook

A field guide for engineering leaders navigating the AI transition

20+ years
In software
100+
Engineers managed
Why this series

Most AI advice is written by individual contributors. This series is different.

Every engineering manager I know is asking the same questions right now. How do I evaluate AI tools for my team without getting sold by vendors? How do I convince skeptics? How do I measure ROI in a way my CTO believes? How do I hire differently when half the candidates used AI for their whole degree?

There are no good answers on the internet. Most AI content is written by developers for developers, or by executives for executives. The engineering manager — the person who has to actually execute the AI transition — is left to figure it out alone.

This playbook is for them. For us. Six parts, frameworks with names you can cite, downloadable artifacts you can use on Monday morning, and honest lessons from 20 years of shipping software at scale.

The Parts

1 of 6 published
  1. 1
    Part 1Available now

    Who Is the Engineering Manager, Really?

    Untangling the manager alphabet soup in Indian IT. A framework for understanding the real difference between Project, Program, Product, and Engineering Managers.

  2. 2
    Part 2Coming soon

    The EM's AI Tool Evaluation Framework

    How to actually evaluate AI tools for your team without getting sold by vendor pitches. A practical scorecard for engineering leaders.

  3. 3
    Part 3Coming soon

    Rolling Out AI to a Skeptical Team

    Change management for the "I'm a real engineer, I don't need AI" crowd. The Skeptic Conversion Matrix and a 4-week pilot playbook.

  4. 4
    Part 4Coming soon

    Measuring AI ROI (Metrics That Actually Matter)

    Beyond "we saved X hours per developer." The Value Pyramid for connecting AI investment to business outcomes.

  5. 5
    Part 5Coming soon

    Hiring in the AI Era

    The interview questions that separate AI-ready engineers from the rest. Rubrics, red flags, and what to do about juniors who coded their whole degree with AI.

  6. 6
    Part 6Coming soon

    Your Career as an EM in the AI Era

    Where engineering leadership is going in 2027-2030. The EM career ladder, the technical vs people track, and capstone advice from 20 years.

Don't miss the next part

Subscribe to the Playbook

Get notified when new parts publish. No spam, just the next chapter in your inbox.

Stay Updated on AI & Tech

Get the latest articles, tutorials, and insights delivered to your inbox. No spam, unsubscribe anytime.

By subscribing, you agree to receive email updates. You can unsubscribe at any time.

VK
About the author

Vinod Kurien Alex

Engineering Manager and Technical Program Manager with 20+ years building and leading software teams across B2B eCommerce, enterprise integrations, and large-scale digital transformations. Currently at Compatio. Previously at Experion Technologies, RM Education, Alamy, and Verizon.

I've managed teams through every major platform shift of the last two decades — web to mobile, monolith to microservices, on-prem to cloud, and now the AI transition. This playbook is the guide I wish I'd had for each one.