arXivPaperNeeds Review
Blast Radius
Blast Radius predicts which code and context a prompt will reach, then reversibly archives unused history. Across seven OpenAI models, it cut token consumption by 17–26%.
arXiv
Source Summary
Blast Radius manages coding-agent memory by estimating a prompt’s reach across context and code. Across **seven OpenAI models**, it reduced token use by **17–26%** while keeping archived context byte-exact and reversible.
Practical Implication
For long-running agents, consider eviction policies that archive rather than summarize context, and track repeated transcripts separately. The paper classified **378 of 450** evicted records as recurring dead matter.
Agent-Ready Context
Blast Radius manages coding-agent memory by estimating a prompt’s reach across context and code. Across **seven OpenAI models**, it reduced token use by **17–26%** while keeping archived context byte-exact and reversible. For long-running agents, consider eviction policies that archive rather than summarize context, and track repeated transcripts separately. The paper classified **378 of 450** evicted records as recurring dead matter. The evidence comes from the authors’ tested policies and models. **Zero archived records were recalled**, but that observation does not establish how eviction behaves across other repositories, workflows, or longer horizons.
Context Map
contextcoding#context-engineering#context-caching#agent-memoryUncertainty
The evidence comes from the authors’ tested policies and models. **Zero archived records were recalled**, but that observation does not establish how eviction behaves across other repositories, workflows, or longer horizons.