Feb 28, 2026 — 15 min — Platform & AI
Context Engineering Keeps Long Context Useful
A practical synthesis of Drew Breunig, Simon Willison, and Anthropic on how long contexts fail, how to fix them, and why multi-agent systems need context discipline.
3 entries tagged "context engineering" — 1 post, 2 links.
The thesis is deliberately provocative, which makes it useful. RAG is not simply dead, but the old chunk-embed-rerank default is under pressure from larger contexts, agentic retrieval loops, and document-native workflows.
I would keep this as a debate starter, not a doctrine. The production question is still which retrieval shape gives the model the right evidence at the right cost with inspectable failure modes.
This is a useful framing link because it shifts the work from clever prompts to the operational discipline of selecting, shaping, and evaluating context. That maps directly to agent systems, RAG, long-context workflows, and product features that must explain why the model saw what it saw.
The caution is that "context engineering" can become a new vague label. It is only valuable when it produces inspectable inputs, measurable outcomes, and clearer failure modes.