One of the best ways to get value for AI coding tools: generating tests
More code isn't always a good thing, but fewer bugs is.
More code isn't always a good thing, but fewer bugs is.
On today’s episode we chat with Mrinalini Sugosh, Developer Relations and Community Manager at CKEditor and TinyMCE. She discusses how modern full stack developers have to master both front and backend skills, stitch the two together, and master adjacent skills like data analysis and security compliance.
On today’s episode we speak with Kohsuke Kawaguchi, who won the Google-O’Reilly Open Source award for his work on the Hudson/Jenkins project. Kohsuke began his career at Sun Microsystems. He shares insights on the balance between community-driven open source and the need to monetize through enterprise services.
It’s tempting to push projects out the door, to woo and impress colleagues and supervisors, but the stark truth is that even the smallest projects should have proper review periods.
In today's data-driven world, Apache Kafka has emerged as a cornerstone of modern data streaming, particularly with the rise of AI and the immense volumes of data it generates.
On today’s episode we chat with Pradeep Vincent, Senior Vice President and Chief Technical Architect for Oracle Cloud Infrastructure, or OCI for short. He shares experiences from his time as an engineer at IBM and what it was like to be a senior engineer working on AWS during the early years of its development as a commercial product.
Today we chat with Austin Emmons, an iOS developer at Embrace, where he spent time rebuilding their SDK to work with OpenTelemetry. He discusses the challenge of tracking performance and watching for edge cases when your app is deployed across dozens of devices with enormous variability in their hardware, software, and network capabilities.
Today we chat with Avthar Sewrathan, AI Lead at Timescale, about adapting developers’ favorite database management system, Postgres, to support a range of new technologies involved in the GenAI ecosystem, especially vector databases. Avthar details his long history with Postgres and how clients are weighing the build vs. buy question when it comes to choosing a database to support their newly minted GenAI initiatives.
On today’s episode, we chat with a listener, Geshan Manandhar, who has been working in the world of software engineering for two decades. He started programming in Kathmandu during the days of dial-up. Since then he’s worked across three continents and today is a senior software engineer at Simply Wall Street. He gives his advice on how developers can change with the times and what it’s like to move into the era of serverless containers.
The decoder-only transformer architecture is one of the most fundamental ideas in AI research.
On today’s episode, we chat with Ryan Dahl, creator of Node.js and Deno. He explains why he feels the first version of Deno has reached certain limits and what he and his team are doing with Deno 2.0 to scale up the module system and ensure it's a great tool for the modern web.
On today's episode we chat with Ilya Grigorik, a Distinguished Engineer and Technical Advisor to the CEO at Shopify. From battling hordes of bots trying to scalp seats before humans can get their hands on concert tickets, to automatically handling relevant tax codes and regulations across countries and states so small merchants can focus on their business, Ilya shares some of the projects he enjoys most and the challenges that make e-commerce interesting for software developers.
Retrieval-augmented generation (RAG) is one of the best (and easiest) ways to specialize an LLM over your own data, but successfully applying RAG in practice involves more than just stitching together pretrained models.
Settling down in a new city (or codebase) is a marathon, not a sprint.
On this episode, Ryan and Cassidy talk to Satish Jayanthi, CTO and co-founder of Coalesce, about the growth of metadata and how you can manage it, especially in systems using generative AI. They explore the importance of providing context and transparency to data, how metadata can be generated automatically, and the future of metadata including knowledge graphs.
A conversation with our developers about how we made Stack Overflow for accessible for everyone.
How we took a proactive approach to making our sites and products accessible to all.
Ryan and Eira talk with Stack Overflow senior research analyst Erin Yepis about the results of our 2024 Developer Survey, which polled more than 65,000 developers about the tools they use, the technologies they want to learn, their experiences at work, and much more. Erin highlights what the survey reveals about devs’ favorite programming languages (JavaScript, HTML, Python), the rise of Rust, the popularity of embedded technologies (Raspberry Pi, Arduino), developer sentiment around AI, and why tech debt tops the list of developer frustrations.
Would updating a tool few think about make a diff(erence)?
Ben and Ryan are joined by Cortex cofounders Anish Dhar, CEO, and Ganesh Datta, CTO. Cortex offers an internal developer portal that helps devs document and reinforce organizational best practices and improve developer productivity. The portal includes features like scorecards that incentivize developers to improve their work and AI-powered search to make finding information easier.
An update to the research that the User Experience team is running over the next quarter.
Josh Zhang, a staff site reliability engineer at Stack Overflow, tells Ryan and Eira how the Stack Exchange network defends against scraping bots. They also cover the emergence of human botnets, why DDoS attacks have spiked in the last couple of years, and the constant balancing act of protecting sites from attack without inhibiting legitimate users.
In this episode, Ben interviews Jannis Kallinikos, a professor at Luiss University in Rome, Italy about his new book Data Rules: Reinventing the Market Economy, coauthored with Cristina Alaimo. They discuss the social impact of data, explore the idea that data filters how we see the world and interact with each other, and highlight the need for social accountability in data tracking and surveillance.
This year, technologies such as JavaScript and PostgreSQL remain most popular, Rust and Markdown remain most admired, developers are most frustrated by technical debt at work, and they don’t see AI as a threat to their jobs.