Video Archives - ShiftMag

You shouldn’t trust AI agents in production

Because AI agents are probabilistic and can't be trusted on their own, developers need to build layered safeguards around them, and the cost of running them in production deserves as much attention as safety.

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.

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.

AI Is Only as Good as the Document Pipeline Behind It

Everyone is busy asking how big the model is, but the real question is what you fed it first - because if your PDFs are mangled and your OCR is sloppy, even the smartest LLM starts from the wrong answer.

We Usually Blame the AI Model, But the Harness Is What Breaks Production

Mike Chambers, Developer Advocate at AWS, says the real test of AI is not whether a demo looks smart, but whether the system around it can survive real-world use.

Choose a Database Because It Fits the Workload, Not Because It’s Familiar

The fastest way to create technical debt in AI is still the oldest one: choosing a database because it feels comfortable.

The Real Source of Truth Is No Longer Code – It’s the Specifications

AI can write the code. The harder question is whether anyone still understands what it was supposed to do six months later.

Developers are the reason behind best (and worst) parts of software development

Building software is full of ups and downs. Some days, you're working with the best team you can find, and others it's up to you to fix something with no idea how it works and no access to documentation.