Context Assembly Pipelines

Context assembly pipelines are the programmatic systems that gather, filter, and format information from multiple sources before injecting it into a model's context window for each inference call. A pipeline might pull relevant files from a codebase index, recent conversation history, retrieved documentation, and active tool outputs into a single structured prompt, replacing the static template approach with dynamic, task-aware assembly. The quality of your context assembly pipeline sets the ceiling for agent performance: the same model with the same tools will produce sharply different results depending on whether it receives a well-organized, relevance-ranked context or a noisy dump of everything available.