Todoist Founder: Developers Should Focus on Solving Customer Problems
I spoke with Todoist founder and CEO Amir Salihefendic about where developers and founders can find opportunities and what they should focus on next.
Archive for the category: Artificial Intelligence
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.
I Talk to Production Every Morning. It Talks Back.
A lot of people are leaving software engineering because agent-based workflows killed their joy. I don't have that problem; I never liked the job in the first place.
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.
How We Catch Messaging Campaign Drift Before It Spreads
Over time, the content a messaging campaign sends can shift away from what was originally approved. We call this campaign drift, and in business messaging, it's a real and recurring problem.
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.
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.