Let Builders Build
The engineering backlog is a tax on organizational creativity. Give everyone—sales, CS, product, design—the same tools engineers have, in a safe sandbox, and watch what emerges.
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Humans, Machines And Everything In Between
Here I explore how AI is reshaping software development, share insights from building systems at scale, and dive into the evolving landscape of engineering leadership.
Whether you’re navigating the shift from IC to management, adapting to AI-powered development workflows, or just curious about the future of tech, you’ll find practical insights and honest perspectives here.
The J-Curve Is Not a Waiting Game
The DORA 2026 report shows incidents rising sharply alongside AI-driven throughput gains. The dip is not turbulence to endure. It is a diagnostic about which systems in your organization need redesign.
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Embrace the Exponentials in Your Team
Operating at exponential pace is not about working harder. It is about restructuring how work flows: parallel streams, shallow planning, closed loops, and agents doing the building.
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Interviewing in the AI Era Means Following One Problem End to End
A stronger interview loop starts with an AI-allowed take-home and then tests judgment, depth, and adaptability by extending the same problem onsite.
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A Darwinian System for Building What Users Actually Want
Karpathy's AutoResearch loop can be extended from model experiments to product strategy, backlog generation, and continuous feature evolution.
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