Context management
AssessTechniques
Methods for controlling what parts of a model's input context receive attention and influence outputs.
Why it's here
Placed in Assess: 2 article(s) of evidence from 2 source(s), led by research-stage coverage, with 2 in the last 30 days. Confidence 37%.
Evidence (2)
- 5InfoQ·7/17/2026framework_updateQCon AI Boston Highlights Production AI Infrastructure Needs
QCon AI Boston 2026 centered on the operational demands of deploying AI agents in production. Speakers emphasized stronger context management, security controls around agents, and a more complete engineering approach that includes evaluation and platform support.
- 5Martin Fowler·7/13/2026researchFowler on AI Harnesses and Self-Hosted Models
Martin Fowler reports that teams are focusing more on AI harness engineering, especially context management and stronger validation techniques such as property-based testing and formal methods. He also notes growing interest in self-hosted open-weight models, driven by cost, data security, model sovereignty, and the possibility of fine-tuning domain-specific models to reduce token usage.