Effective context engineering for AI agents
by Anthropic
Treats context as a finite budget: compaction, notes, sub-agents.
Anthropic discusses choosing and maintaining the information available to an agent. The article is useful when longer-running work begins to lose important details or accumulate irrelevant context.
- Level
- Intermediate
- Models
- any
- Category
- Context Engineering
- Tags
- context-engineering
- Source date
- 2025-09-29
- Added
- 2026-10-18
- Last verified
- 2026-10-18
- Status
- ok
- Prerequisites
- Assumes basic LLM familiarity or the ability to read examples and configure a workflow.
- Subcategory
- context management
- Region
- West
- Original language
- en
- Access
- free
- Resource reuse
- closed: No general open-reuse grant established from the inspected page. Closed is the conservative index bucket, not a legal finding; the resource is publicly readable. Facet definitions
Summary in our own words. Rights remain with the original creator. Credit and correction policy.