ShiftMag

Dana Lawson leads R&D at Netlify, overseeing engineering, product, and design. From where she sits, she sees the real shift clearly: one person or a tiny team can now cover far more ground.

Static runbooks break under pressure. Operational knowledge should live in executable tools instead of documents nobody can follow at 3 AM.

NVIDIA’s Igor Dmochowski explained that LLMs are no longer limited just by model size or benchmark scores; the cost of longer reasoning means runtime, context length, memory use, and throughput matter just as much.

Two-thirds of organizations run AI workloads on Kubernetes, but only 7% do it daily. Katie Gamanji says the ecosystem still needs better operational maturity and standards.

At 55,000 operations per second across a 20 TB sharded cluster, you stop theorizing about databases and start reading their source code.

Figma’s Designer Advocate argued that AI can make prototypes look finished too early, which can hide dangerous assumptions.

We’re waiting for the next big AI leap - systems learning from their own experience rather than just human data - and at Infobip Shift, Google DeepMind’s Benoit Schillings said that’s exactly where the field is headed.

As infrastructure gets more complex, "inside the network" is no longer enough. Users, devices, and AI agents need their own identity and only the access they need.

Infobip Shift 2026 is officially open, and OpenAI’s Luis Velasco said the real work now is bringing together the data, process, and systems agents need to do the job well and keep improving.

We're burning thousands of dollars on AI conversations that should've been a single slash command.

After five years in a codebase I knew by heart, I suddenly found myself back at square one in customer-facing native iOS development, and AI became my lifeline.

What sounds like a small API task is usually a full integration problem: sequencing, sync vs async, edge cases, and an old system nobody fully trusts.

ShiftMag Insightful engineering content & community

Netlify CTO: “No longer should my developers be writing code”

Runbooks Are Dead; Make Operations Executable

LLMs Have a New Limit – It Costs More to Think Longer

Only 7% of Organizations Using Kubernetes for AI Do So Daily

MongoDB: One write, two logs

AI speeds up prototyping, but teams still need to distinguish decisions from assumptions

Google DeepMind: AI’s Next Step Is Learning From Its Own Experience

AI agents need their own identity and least-privilege access

OpenAI Says the Real Work in AI Coding Is Building the System Around It

You Should Bring Your Ops to Slack

How AI Helped Me Survive the Shift from Backend and DB Architecture to Native iOS

The phrase that ruins every eCommerce project: “Just connect it to our ERP.”