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 …”
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.”
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, …”
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…”
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.”
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…”
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: Anthropic's Model Context Protocol heavily drives context engineering
“I think MCP has been a huge driver of context engineering.”
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…”
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…”
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…”
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.”
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.”