On today’s episode we chat with Cassandra Shum, VP of Field Engineering at RelationalAI, about her company’s efforts to create what it calls the industry’s first coprocessor for data clouds and language models. The goal is to allow companies to keep all their data where it is today while still tapping into the capabilities of the latest generation of AI tools. https://stackoverflow.blog/2024/06/18/reflective-ai-data-coprocessor-llm-etl/
On today’s episode we chat with Jared Palmer, VP of AI at Vercel, who says the company has three key goals. First, support AI native web apps like ChatGPT and Claude. Second, use GenAI to make it easier to build. Third, provide an SDK so that developers have the tools they need to easily add GenAI to their websites. https://stackoverflow.blog/2024/06/14/vercel-next-node-js-ai-sdk/
In this episode, Alexa Montelibano and Tiago Torre, sales engineers at Stack Overflow, take you behind the scenes to show how customer feedback shapes our products, including OverflowAI. Alexa and Tiago have been working with clients to explore the three features of OverflowAI—Enhanced Search, an Auto-answer App for Slack and Microsoft Teams, and an IDE extension. https://stackoverflow.blog/2024/06/11/overflow-ai-enhanced-search-slack-ide-sales-engineering/
It’s easy to generate code, but not so easy to generate good code. https://stackoverflow.blog/2024/06/10/generative-ai-is-not-going-to-build-your-engineering-team-for-you/
In this episode we chat with Saumil Patel, co-founder and CEO of Squire AI. The company uses an agentic workflow to automatically review your code, write your pull requests, and even review and provide opinions on other people’s PRs. Different AI systems with specific capabilities work together as a mixture of experts, following a chain of thought approach to provide recommendations on security, code quality, error handling, performance, scalability, and more. https://stackoverflow.blog/2024/06/
In this episode we chat with Saumil Patel, co-founder and CEO of Squire AI. The company uses an agentic workflow to automatically review your code, write your pull requests, and even review and provide opinions on other people’s PRs. Different AI systems with specific capabilities work together as a mixture of experts, following a chain of thought approach to provide recommendations on security, code quality, error handling, performance, scalability, and more. https://stackoverflow.blog/1970/01/
A look at some of the current thinking around chunking data for retrieval-augmented generation (RAG) systems. https://stackoverflow.blog/2024/06/06/breaking-up-is-hard-to-do-chunking-in-rag-applications/
Learn about the workflow designed to help new askers improve their questions on Stack Overflow. https://stackoverflow.blog/2024/06/04/introducing-staging-ground-the-private-space-to-get-feedback-on-questions-before-they-re-posted/
This week we chat with Kamakshi Narayan, Director of Product Management at SnapLogic, who is focused on how APIs can apply fine-grained controls for privacy and governance to the LLM-powered AI apps vacuuming up our data. https://stackoverflow.blog/2024/06/04/how-to-prevent-your-new-chatbot-from-giving-away-company-secrets/
Today's episode is a chat with Benjamin Shestakofsky, an assistant professor of sociology at the University of Pennsylvania with a focus on the ways in which digital technologies are affecting work and employment, organizations, and economic exchange. We discuss research from his new book which dives into the venture capital business and explores the cooperative model that some software startups are taking instead. https://stackoverflow.blog/2024/05/31/can-software-startups-that-need-cash-avoid
