Lead Engineering Teams
in the age of AI

Practical frameworks, hard-won insights, and a community for engineering leads who refuse to manage the same way while everything around them changes.

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AI didn’t just change the tools. It changed the job.

Your engineers now spend more time specifying and reviewing than writing code. Your SDLC diagrams are relics. The playbook that got you here won’t get your team through the next two years.

Yet most leadership advice still assumes the old world: sprint planning, story points, hand-written PRs.

The SDLC is dead. Long live ADLC.

This newsletter is for engineering leaders ready to build what comes next — AI-native teams that ship faster with fewer people, without burning anyone out.


What you’ll get

 ◆ Actionable Frameworks  Battle-tested models like Delegate-Review-Own and lean pod structures you can apply to your team on Monday morning. ⚖ Org Design Patterns  How to restructure around AI-enabled workflows — from 3-4 person pods to new metrics that actually measure output. ⚛ The ADLC Playbook  Specification, generation, verification, shipping. The new lifecycle that replaces your SDLC, broken down step by step. ★ Leadership for the Shift  Managing developer wellbeing, navigating resistance, and making the case to your own leadership for AI-native practices.

Topics covered

AI-Native Team Structures Agent Development Life Cycle Cycle Time Metrics Developer Wellbeing Lean Pod Design Specification-First Engineering Scaling with AI Tooling Code Review in an AI World Hiring for AI-Native Teams Leadership Frameworks

Who this is for

  • Engineering Managers rethinking how their teams work with AI

  • Tech Leads who sense the old SDLC no longer fits

  • Directors and VPs building the case for AI-native transformation

  • Staff+ engineers moving into leadership during the transition

  • CTOs and Heads of Engineering at startups shipping with lean, AI-augmented teams


Who’s writing this

Alexander Rashkov is an Engineering Leader at Meta, steering cross-functional teams to enhance Privacy and Ads products at scale. With 15+ years in the industry, he builds robust product infrastructures that prioritise user trust and safety — and now coaches engineering managers navigating the AI-native shift.

Previously Engineering Director at HSBC, he championed cloud-first strategies and Digital Transformation. Orchestrating a global customer onboarding systems spanning across 37 markets. He writes from the intersection of doing the work and leading the people who do it.

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Practical frameworks, hard-won insights, and a community for engineering leads building and leading teams in the age of AI. The playbook is being rewritten — lead the change.

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