Posts tagged:
AI
March 31, 2026
When AI writes most of the code, engineering moves up the stack
From Uber’s agent stack to OpenAI’s small teams: the new operating model for engineering
March 19, 2026
DORA 2025: AI is an amplifier — the capabilities that decide whether it accelerates outcomes or chaos
When nearly everyone has access to similar models, competitive advantage comes from the system around the model: how your organization makes decisions, how work flows, how safely knowledge can be accessed, and how quickly you can validate outcomes.
March 13, 2026
AI Didn’t Reduce Engineering Work — It Moved the Bottlenecks
How to Turn Faster Coding into Faster Shipping: Delegation, Verification, DevEx Data
March 3, 2026
The 70% → 80% Shift in AI Coding: Why VPs of Engineering Need to Manage Comprehension Debt
Last year, the dominant story was the “70% problem”: AI helps you get surprisingly far, surprisingly fast—but the final stretch toward production readiness becomes a grind of edge cases, debugging, and diminishing returns.
February 25, 2026
When AI Makes Coding Fast, Delivery Gets Slow
How VPEs Break the “AI Paradox” with Orchestration and DevEx Signals
June 27, 2024
AI to the Rescue? Addressing the Digital Collaboration Debt Crisis
AI is often depicted as a double-edged sword, eliciting both excitement and fear. A study by Microsoft, which surveyed 31,000 people globally, reveals a nuanced perspective on the future of work with AI.
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