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
Topics covered
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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