Chroma

Chroma | Context Engineering

Technology EN ↓ 3 episodes

Conversations with practitioners and researchers building with large language models, cutting through the hype to examine what actually works in production. Context engineering, agent architecture, model selection, and the gap between benchmark scores and real-world performance. Grounded technical perspectives for builders navigating the practical challenges of AI engineering.

Author

Chroma

Episodes

Lance Martin - LangChain 16.01.2026 1:02:35

Chroma CEO Jeff Huber sits down with Lance Martin to discuss the current state of agents and more. Find Lance on X, https://x.com/RLanceMartin, and his website, https://rlancemartin.github.io/ 0:00 Introduction & Welcome 0:09 Context Engineering: What It Is and Why It Matters 2:05 Context Rot and Performance Degradation 3:31 Year in Review: 2025 AI Trends 4:28 Giving Agents a Computer (File Sy...

Drew Breunig 11.12.2025 58:10

Jeff Huber sits down with Drew Breunig to talk about the origins of Context Engineering and more. Drew has a wide range of his writing about AI on his website: https://www.dbreunig.com/ 00:36 Why write about AI? (Writing as a searchable index) 01:28 The two buckets of AI writing: Hype vs. Research 04:08 The Gemini 1.5 Paper & Pokemon: The birth of Context Engineering 06:50 The "Karpathy E...

Dex Horthy 11.12.2025 58:16

Chroma CEO Jeff Huber chats with Dex Horthy about agents and context engineering. Dex on X: https://x.com/dexhorthy 0:00 - Introduction 0:23 - Context Engineering Origins 0:33 - 12 Factor Agents 0:43 - New AI Models 1:43 - Model Switching Strategy 3:07 - Personal Productivity Systems 7:57 - AI UX Patterns 13:07 - Todo List Management 15:01 - Collaborative AI Workspaces 22:09 - In-Person vs Remote...