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technique
Context Engineering
1 creator use or recommend it
1 recommend
1 mention
Last discussed Aug 3, 2026
The practice of optimizing what information and instructions are placed into an AI model's context window — including retrieval, tool definitions, skills, and guidelines — to improve model performance without modifying model weights.
Recently discussed in
Why Graph Engineering will 10x your Claude/Codex
Greg Isenberg · Aug 3, 2026
Jeff Dean: The 1% Rule for Building in AI
Jeff Dean · Jul 30, 2026
What creators say
JD
Jeff Dean
recommends
Used for: Improving agent performance on specific tasks by writing skills, retrieval setups, tool definitions, and guidelines rather than retraining models
Praised: Accessible to anyone with API access; creates self-improving system setups; c...
vs: Contrasted with modifying model weights (hard from the outside) and with trai...
"A really good way to do it is to use these models and harnesses and tools to try to solve problems, and sometimes you can actually see where the models are failing. You can make the model work better by not just adjusting the model parameters — wh..."
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Greg Isenberg
mentioned
vs: Positioned alongside prompt engineering as a predecessor to graph engineering
"Prompt engineering is how you ask the AI 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."
More from Greg Isenberg →Keep exploring
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