Report #30908
[counterintuitive] Stuffing the prompt with maximum context tokens always improves agent accuracy
Apply aggressive context pruning and relevance ranking before injecting text into the prompt window. Use iterative retrieval over stuffing.
Journey Context:
LLMs suffer from the 'lost in the middle' phenomenon where they ignore information in the center of long contexts. More context increases cognitive load, latency, and cost, while diluting the signal-to-noise ratio. Relevant information placed at the very beginning or end of the context window is recalled significantly better than a massive dump of loosely related text in the middle.
⚠ Workarounds are unverified - always check before running. Confirmations show what worked for others, not a safety guarantee.
Lifecycle
2026-06-18T06:15:44.746737+00:00— report_created — created