DeepMind’s RAG System with Animesh Chatterji and Ivan Solovyev
Retrieval-augmented generation, or RAG, has become a foundational approach to building production AI systems. However, deploying RAG in practice can be complex and costly. Developers typically have to manage vector databases, chunking strategies, embedding models, and indexing infrastructure. Designing effective RAG systems is also a moving target, as techniques and best
Reinventing the Python Notebook with Akshay Agrawal
Interactive notebooks were popularized by the Jupyter project and have since become a core tool for data science, research, and data exploration. However, traditional, imperative notebooks often break down as projects grow more complex. Hidden state, non-reproducible execution, poor version control ergonomics, and difficulty reusing notebook code in real software systems
Organizational Context for AI Coding Agents with Dennis Pilarinos
AI agents have taken on a growing share of software development work, so much so that the hardest problems are shifting away from code generation towards something new, context. The challenge is now contextualizing why systems
SED News: OpenClaw Goes Viral, Mistral’s Compute Play, and the Agent Arms Race
SED News is a monthly podcast from Software Engineering Daily where hosts Gregor Vand and Sean Falconer unpack the biggest stories shaping software engineering, Silicon Valley, and the broader tech industry. In this episode, they
Amazon’s IDE for Spec-Driven Development with David Yanacek
AI-assisted coding tools have made it easier than ever to spin up prototypes, but turning those prototypes into reliable, production-grade systems remains a major challenge. Large language models are non-deterministic, prone to
Podcast Episodes
DeepMind’s RAG System with Animesh Chatterji and Ivan Solovyev
Retrieval-augmented generation, or RAG, has become a foundational approach to building production AI systems. However, deploying RAG in practice can be complex and costly. Developers typically have to manage vector databases,...
Reinventing the Python Notebook with Akshay Agrawal
Interactive notebooks were popularized by the Jupyter project and have since become a core tool for data science, research, and data exploration. However, traditional, imperative notebooks often break down as projects grow more...
Organizational Context for AI Coding Agents with Dennis Pilarinos
AI agents have taken on a growing share of software development work, so much so that the hardest problems are shifting away from code generation towards something new, context. The challenge is now contextualizing why systems...
Greatest Hits
Database Choices and Uber with Markus Winand
When Uber’s engineering team published a blog post about moving to MySQL from Postgres, Markus Winand started receiving lots of email. Markus writes about databases on his blog “Use The Index, Luke,” a guide to database performance for developers. The people...
