Context Engineering

topic on 8 shows · 13 statements across 12 episodes

the Y Combinator Startup Podcast Latent Space the Neon Show the Startup Ideas Podcast the MAD Podcast the a16z Podcast Big Technology 20VC

13 statements about Context Engineering, every show

MAD Insight
Trojanowski: Context engineering is runtime training with far less data
“I think the framework I like is thinking about it as training data. Except you're just training the model at runtime. It is training data. And because you, the model's learning at inference time, the total amount of training data is far lower, right? Like the …”
Mitch Trojanowski Aug 5, 2026 ▶ 43:17 How to Build Autonomous, Long-Horizon AI Agents | Basis
Isenberg: Graph engineering moves AI out of single messy chat interfaces
“Prompt engineering is how you ask the AI for a better question. And context engineering is how you give AI better information. But graph engineering is how you design the work around the AI so the whole thing stops living inside one messy giant AI chat.”
Greg Isenberg Aug 3, 2026 ▶ 1:29 Why Graph Engineering will 10x your Claude/Codex
Dean: In-context data is clearer to models than pretraining parameters
“And the nice thing about that is that information is really clear to the model. Unlike the training data, the model was trained on where it's all kind of like trillions of tokens stirred together into a soup of hundreds of billions or trillions of parameters, …”
Jeff Dean Jul 30, 2026 ▶ 17:14 Jeff Dean: The 1% Rule for Building in AI · Y Combinator
NEON SHOW Insight
Bhatawdekar: Gen AI Replaced Custom Model Training with Prompt Conditioning
“After the Gen AI revolution, like the way now we build intelligent applications is we take models off the shelf. These are general purpose models. They can reason on a variety of tasks, and then we condition the models to work a specific way by doing prompt en…”
Ameya Bhatawdekar May 15, 2026 ▶ 2:52 The “Messy State” of AI & How to Fix It | Ameya, Braintrust CTO
20VC Prediction Open · timeframe May 2031
Tobi Lütke: Context engineering will become a standard corporate role
“There's something about this context engineering, which I had a hand in popularizing term of I think that will become more recognizably a, like a role in companies that will potentially subsume a bunch of other more specialized roles right now.”
Tobi Lütke May 4, 2026 ▶ 59:46 Shopify CEO on How AI is a Scapegoat for Mass Layoffs & Trump Derangement Syndrome in Canada · 20VC with Harry Stebbings
Gaskill: AI optimization shifted from prompt engineering to context engineering
“Prompt engineering used to be the big thing. It was like, here's the ultimate prompt for going viral on social media, or use this prompt for this. And now it's all about context engineering. It's about how well can you load up your agent with all the informati…”
Remy Gaskill Mar 17, 2026 ▶ 22:02 Building AI Agents that actually work (Full Course)
LATENT SPACE Prediction Not checkable as stated
Nina Lopatina predicts context engineering will reach deployment scale in 2026
“So I think it's kind of, to me, maybe more in a prototyping stage, and I'm expecting next year we'll really see scale for context engineering.”
Nina Lopatina Dec 31, 2025 ▶ 10:03 [State of Context Engineering] Agentic RAG, Context Rot, MCP, Subagents — Nina Lopatina, Contextual
Nina Lopatina: Anthropic's Model Context Protocol heavily drives context engineering
“I think MCP has been a huge driver of context engineering.”
Nina Lopatina Dec 31, 2025 ▶ 14:20 [State of Context Engineering] Agentic RAG, Context Rot, MCP, Subagents — Nina Lopatina, Contextual
a16z Insight
Sherman Wu: AI development has shifted from prompt to context engineering
“But I think the name of the game now is, is less on like, Prompt engineering as we had thought about it two years ago. It's more of like, it's like the context engineering side where it's like, what are the tools you give it? What is like the data that it pull…”
Sherman Wu Nov 28, 2025 ▶ 25:40 How OpenAI Builds for 800 Million Weekly Users: Model Specialization and Fine-Tuning
Wagner: Task-specific knowledge injection effectively reduces LLM hallucinations
“The way to, like, get them to behave the way we want them to behave is just with context engineering and injecting the right knowledge for the right kind of tasks they're doing. And that's incredibly effective, right? That reduces hallucinations, that makes th…”
Matthias Wagner Nov 22, 2025 ▶ 16:25 ⚡️ Building the AI Hardware Engineer with Matthias Wagner, Co-founder of Flux
Levie: Proper context engineering nearly eradicates AI hallucinations
“As long as you are really good about what context you're giving the AI and how you are effectively grounding the AI in trustworthy data with the right kinds of prompts and a high enough quality model. you can nearly eradicate the, you know, all of, if not th…”
Aaron Levie Sep 18, 2025 ▶ 19:13 Are 95% of Businesses Really Getting No Return on AI Investment? — With Aaron Levie
Lance Martin: Prompt engineering is a subset of context engineering
“Well, I think that, you know, prompt engineering is kind of a subset of context engineering.”
Lance Martin Sep 11, 2025 ▶ 2:25 Context Engineering for Agents - Lance Martin, LangChain
Huber: Successful AI Startups Fundamentally Excel at Context Engineering
“This is what, frankly, most AI startups, any AI stuff that you know of, that you think of today that's doing very well, like what are they fundamentally good at? What is the one thing that they're good at? It is context engineering.”
Jeff Huber Aug 19, 2025 ▶ 14:36 Long Live Context Engineering - with Jeff Huber of Chroma

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