Turbopuffer with Simon Hørup Eskildsen

Turbopuffer with Simon Hørup Eskildsen

Author: Software Engineering Daily September 30, 2025 Duration: 48:30
Vector search has become a foundational technology for AI applications, enabling everything from semantic code search to contextual retrieval for large language models. However, a major challenge with vector databases has been the cost as data storage scales. Turbopuffer is a vector database that focuses on speed, cost and scalability. It was created by Simon

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Author: Language: en-us Episodes: 100

Software Engineering Daily
Podcast Episodes
Prettier and Opinionated Code Formatting with James Long [not-audio_url] [/not-audio_url]

Duration: 50:35
Developer tooling shapes how software gets written day to day, but the best tools often disappear into the background once they succeed. Formatting, linting, and build systems can either create friction and endless debat…
Skate Story with Sam Eng [not-audio_url] [/not-audio_url]

Duration: 57:48
Skateboarding games have long balanced technical precision with a sense of flow and expression, but Skate Story takes the genre in a radically different direction. It has a distinct vaporwave vibe and blends fluid skate…
DeepMind’s RAG System with Animesh Chatterji and Ivan Solovyev [not-audio_url] [/not-audio_url]

Duration: 37:57
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 datab…
Reinventing the Python Notebook with Akshay Agrawal [not-audio_url] [/not-audio_url]

Duration: 46:04
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 gr…
Organizational Context for AI Coding Agents with Dennis Pilarinos [not-audio_url] [/not-audio_url]

Duration: 49:21
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 s…
Amazon’s IDE for Spec-Driven Development with David Yanacek [not-audio_url] [/not-audio_url]

Duration: 57:00
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, p…
Engineering AI Systems for Autonomy and Resilience with Krishna Sai [not-audio_url] [/not-audio_url]

Duration: 53:15
Enterprise IT systems have grown into sprawling, highly distributed environments spanning cloud infrastructure, applications, data platforms, and increasingly AI-driven workloads. Observability tools have made it easier…
Inside China’s Great Firewall with Jackson Sippe [not-audio_url] [/not-audio_url]

Duration: 58:00
China’s Great Firewall is often spoken about but is rarely understood. It is one of the most sophisticated and opaque censorship systems on the planet, and it shapes how over a billion people interact with the global int…
Optimizing Agent Behavior in Production with Gideon Mendels [not-audio_url] [/not-audio_url]

Duration: 52:25
LLM -powered systems continue to move steadily into production, but this process is presenting teams with challenges that traditional software practices don’t commonly encounter. Models and agents are non-deterministic s…