Lovable’s Co-Founder on Why Developers Use a Platform Made for Non-Technical Users
I went to Raise Summit in Paris to see whether Lovable is just another tool for non-technical founders - or something developers can actually use to build faster.
Archive for the category: Event
Great Developers Are Curious, Creative, and Ready for AI
At Infobip Shift, accomplished speaker and engineer Teresa Wu will talk about how AI is transforming software delivery, multi-platform development, and the future of engineering teams.
Teaching AI Agents to Test 1,000 Java Libraries – and Letting Them Run While You Sleep
A 1,000 libraries, 90% coverage, 1,700 in API tokens. Nobody typed a single test by hand.
Uber Shares What Happens When 1.500 AI Agents Hit Production
Hearing how Uber scaled to 1.500 AI agents made me realize just how quickly things can spiral when those agents start acting faster than humans can keep up.
Tech Conferences Aren’t Dead. But Why We Go Is Changing.
When was the last time a dev conference taught you something you couldn’t learn online? Probably never. But that’s the wrong benchmark - conferences were never just about information.
CTOs Face Pressure to Deliver AI Gains, but Productivity Isn’t There Yet
Andy Skipper, founder of CTO Craft, warns that even seasoned CTOs struggle with the pressure to deliver AI-driven productivity while balancing innovation and reality.
OpenAI Shares How They’re Turning Engineers into AI Team Leads
Roles aren’t disappearing - capabilities are expanding, and often the problem isn’t the system, it’s the prompt. I saw that firsthand at this year’s Pragmatic Summit in San Francisco.
Chip Huyen: To Build or Not to Build – When AI Can Do It All?
I was at Pragmatic Summit when Chip Huyen reframed the AI conversation - if any product can be generated from a clear description, code isn’t the constraint, and true value lies elsewhere.
This CTO Says 93% of Developers Use AI, but Productivity Is Still 10%
I was in the room at this year’s Pragmatic Summit when Laura Tacho dropped the numbers: nearly all developers use AI coding assistants, over a quarter of production code is AI-written - and yet productivity gains haven’t budged past 10%.
Forget the Model, It’s Workflows That Make LLM Products Run
Building with LLMs is nothing like traditional software. If we want something that actually works in production, we have to test it, monitor it, and keep iterating on real customer data.