In the old days, every IT organization had a dedicated, almost sacred role: the DBA (Database Administrator), often informally known as the "Gatekeeper of the Schema." These individuals ensured that t...

As developers, we can immediately recognize the structure of a .csv file and how it differs from a .md one. Want to experience the frustration of someone completely lost when faced with those extensio...

The first time I wanted to use a model in my own application, I expected the experience to be similar to using a library or a framework. It seemed Hugging Face was the Maven Central or the npm (or the...

Three weeks ago, Adam Wathan, the creator of Tailwind CSS, released a podcast containing an honest confession – "We had six months left" – and an explanation of why they had to let some folks go. For ...

While I’ve been focused on helping companies grow, my personal brand has taken a hit. I’ve never been interested in being an influencer or a showman, but I’ve come to realize that technical expertise ...

YouTube video by Josh Darnit

Speaker Milen Dyankov Abstract AI is undeniably a buzzword, but it is here to stay. What does this mean for Java developers? Can we design and build applications that harness the power of AI? Most importantly, where do we start? This session focuses on inference—using pre-trained models directly from your code. Instead of relying on proprietary APIs, it'll demystify the "magic" by breaking the AI buzzword down into familiar concepts and components. This will enable you to use AI models as naturally as you would work with databases or workflows. Through live demos, you'll learn to leverage basic embedding models, explore vector databases, and use tools like LangChain4J. By the end, you'll have a practical roadmap to kickstart your journey into Java-powered AI. https://www.devbcn.com

YouTube video by DevBcn: The Barcelona Developers Conference

You squash bugs in oversized hoodies with style. The stack trace fears you.

YouTube video by Pinecone

Join us in building the database for machine learning. We're looking for talented individuals to help us push the boundaries of vector search technology.

We are releasing our first three MCP servers: Pinecone Assistant MCP (remote), Pinecone Assistant MCP (local), and Pinecone Developer MCP (local). Together, the three support the following use cases: ...

Jay Graber dunks on Mark Zuckerberg without mentioning his name.

The world can no longer trust American tech. If that sounds dramatic, take a step back and consider the facts. The United States is a nation in the thrall of authoritarianism, owned and operated almo...

Search through billions of items for similar matches to any object, in milliseconds. It’s the next generation of search, an API call away.