Undated
Eran Yahav describes the agent stack as three components: the language model, the agent and the context engine.
“There's some component to that, but the third layer that is really important in enterprise is what you called the context layer, or what we call the context engine.”
Eran Yahav · Why Enterprise AI Fails Without a Context Engine - with Eran Yahav of Tabnine, 0:06:43
Undated
Eran Yahav says a context engine pre-computes a map of dependencies and relationships between an organization's components.
“it does pre-computation and builds a map of the organization to understand the dependencies and relationships between components.”
Eran Yahav · Why Enterprise AI Fails Without a Context Engine - with Eran Yahav of Tabnine, 0:09:11
Undated
Eran Yahav says a context engine uses internal context agents that continually crawl the organization to build its map.
“These context agents, their job is to do the homework, their job is kind of like constantly crawl the organization”
Eran Yahav · Why Enterprise AI Fails Without a Context Engine - with Eran Yahav of Tabnine, 0:09:11
Undated
Eran Yahav compares the context engine's pre-built map to a highway map that lets agents skip irrelevant areas.
“it pre-builds, call it the highway map of the organization for the agent.”
Eran Yahav · Why Enterprise AI Fails Without a Context Engine - with Eran Yahav of Tabnine, 0:10:26
Undated
Eran Yahav says many Tabnine customers want the context engine to run inside their perimeter, behind a firewall or air-gapped.
“they would like the context engine to run inside their perimeter.”
Eran Yahav · Why Enterprise AI Fails Without a Context Engine - with Eran Yahav of Tabnine, 0:11:38
Undated
Eran Yahav recommends starting by giving the context engine access to code, Jira task management and Confluence design documents.
“giving context engine access to code and to, um, um, I would say something like a Jira task management or Confluence design documents”
Eran Yahav · Why Enterprise AI Fails Without a Context Engine - with Eran Yahav of Tabnine, 0:15:59
Undated
Eran Yahav says that in some cases richer context raises agent success rates two times.
“In some cases, we see two times on the success rate”
Eran Yahav · Why Enterprise AI Fails Without a Context Engine - with Eran Yahav of Tabnine, 0:16:33
Undated
Eran Yahav says some cases show about 80% improvement in efficiency measures such as token consumption and speed.
“In some cases, you you can see 80% improvement, right?”
Eran Yahav · Why Enterprise AI Fails Without a Context Engine - with Eran Yahav of Tabnine, 0:16:33
Undated
Eran Yahav says the context engine gives architects and engineering VPs visibility across projects and silos.
“Context engine also provides you, maybe for the first time, full visibility of what is going on across different projects”
Eran Yahav · Why Enterprise AI Fails Without a Context Engine - with Eran Yahav of Tabnine, 0:17:06
Undated
Eran Yahav says Tabnine's context engine currently focuses on software engineering tasks.
“we are focused on software engineering agents, so we are only looking at software engineering tasks at this point.”
Eran Yahav · Why Enterprise AI Fails Without a Context Engine - with Eran Yahav of Tabnine, 0:14:41