Chris Davidson, Atlassian: “Ask AI to challenge you”
As a Solutions Engineer at Atlassian, Chris Davidson works with clients in an effort to make the most of Atlassian's tools and has first-hand experience of how we adapt to using AI.
Archive for the category: Infobip Shift 2026
The Real Problem in Voice AI Is Latency
Voice AI may be sold as a model problem, but the real bottleneck is whether the system can survive real-time demands, stay reliable, and do it at a cost that makes sense.
OpenAI’s Luis Velasco: Code is very cheap to produce, but the system around it isn’t
Luis Velasco works as a Forward Deployed Engineer at OpenAI. For him, code is becoming very cheap to produce, while building the system around the model is becoming critical.
Netlify CTO: “No longer should my developers be writing code”
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.
LLMs Have a New Limit – It Costs More to Think Longer
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.
Only 7% of Organizations Using Kubernetes for AI Do So Daily
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.
AI speeds up prototyping, but teams still need to distinguish decisions from assumptions
Figma’s Designer Advocate argued that AI can make prototypes look finished too early, which can hide dangerous assumptions.
Google DeepMind: AI’s Next Step Is Learning From Its Own Experience
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.
OpenAI Says the Real Work in AI Coding Is Building the System Around It
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.
VP of Research, Google DeepMind: “The mundane work of writing code is going away.”
I first met Benoit Schillings, VP of Research at Google DeepMind, in San Francisco to talk about what engineers do when AI writes more of the code. His answer: make sense of the massive systems we inherit. Now, he’s bringing that perspective to Zadar for Infobip Shift 2026.