Nina Lopatina predicts context engineering will reach deployment scale in 2026
Nina Lopatina · [State of Context Engineering] Agentic RAG, Context Rot, MCP, Subagents — Nina Lopatina, Contextual · Dec 31, 2025 · at 10:03
Nina Lopatina of Contextual AI discusses the transition of context engineering from unconstrained token prototyping to disciplined, scalable production architectures.
0:00 / 0:07exact quote · 7.2s
▶ Watch the full episode on YouTube → 720p mp4 · rendered on demand · StarZero watermark
“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.”
quote is from the automated transcript, cleaned for reading: filler sounds and stutters are removed, nothing is rephrased. names can be misheard (the analysis reads context, assessments check outside sources). how →
More from Nina Lopatina
Nina Lopatina: Contextual AI shifts from MCP to direct API calls
“And I think for us, for me personally, like in my dynamic agent configs, I'm moving more toward API calls. And something a little bit more once I kind of maybe been able to prototype with an MCP server and figure out how I'm going to use this I think then you …”
Nina Lopatina: Claude Code saturated Princeton's agentic research benchmark within weeks
“It's a set of benchmarks for really evaluating longer-running agentic tasks, and in this case, there was one where they were evaluating, recreating a research paper, and that benchmark came out in October, and it was saturated earlier this week.”
Nina Lopatina: Smaller models beat larger ones for latency-constrained component tasks
“I think for other component models, like, let's say, like, for a re-ranker, due to latency constraints, smaller is better, is what I've heard from other developers”
Nina Lopatina: Agentic RAG and query reformulation outperform traditional RAG baselines
“Agentic RAG is just generally better than RAG. Even that initial incremental step of making that doing query reformulation, so when you receive that initial query, being able to break it down into sub-queries so that you can better match those queries to docum…”
Nina Lopatina: Anthropic's Model Context Protocol heavily drives context engineering
“I think MCP has been a huge driver of context engineering.”
Nina Lopatina: Agentic Context Engineering outperforms prompt-rewriting on complex documents
“So so actually, Identity Context Engineering, that approach actually has shown better benchmark performance on financial and other complex document sets, and the approach they've taken is quite interesting.”