←back to thread

Context Engineering for Agents

(rlancemartin.github.io)
114 points 0x79de | 1 comments | | HN request time: 0.269s | source
Show context
truth_seeker ◴[] No.44461417[source]
Nah ! I am not convinced that context engineering is better (in the long trem) than prompt engineering. Context engineering is still complex and needs maintainance. Its much lower level than human level language.

Given that domain expertise of the problem statment, we can apply the same tactics in context engineering on higher level in prompt engineering.

replies(2): >>44462309 #>>44464374 #
CharlieDigital ◴[] No.44464374[source]
Going to disagree here.

Early in the game when context windows were very small (8k, 16k, and then 32k), the team I was working with achieved fantastic results with very low incidence of hallucinations through deep "context engineering" (we didn't call it that but rather "indexing and retrieval").

We did a project for Alibaba and generated tens of thousands of pieces of output . They actually had human analysts reviews and grade each one for the first thousand. The errors they found? Always in the source material.

replies(1): >>44466378 #
1. truth_seeker ◴[] No.44466378[source]
Are we on the same page ?

Whats really stopping you to parse and prioritise CUSTOM CONTEXT if given as text instruction in prompt engineering.