A handoff for context compaction must preserve the active objective, current constraints, decisions and their reasons, exact working state, evidence …
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Save information between sessions when it is likely to change a future decision and you can preserve its source, scope, …
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Give a coding agent enough repository context to trace the requested behavior from its entry point to its implementation, contract, …
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The context window is the bounded information a model can use in a particular invocation. Retrieval selects information from outside …
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A useful task brief states the behavior to change, the evidence that defines the problem, the constraints that must remain …
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A practical method for reviewing repository instructions: identify the decision each line changes, place details at the right scope, and …
How AI systems get the information they need to do useful work. We examine instructions, retrieval, memory, tool outputs, and the context passed between tasks and agents. The aim is to make information relevant, traceable, and manageable—and to understand what happens when it is missing, outdated, contradictory, or too large to use effectively.