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  "text": "Agentic Context Engineering\n\nGreat paper on agentic context engineering.\n\nThe recipe:\n\nTreat your system prompts and agent memory as a living playbook.\n\nLog trajectories, reflect to extract actionable bullets (strategies, tool schemas, failure modes), then merge as append-only deltas with periodic semantic de-dupe.\n\nUse execution signals and unit tests as supervision. Start offline to warm up a seed playbook, then continue online to self-improve.\n\nOn AppWorld, ACE consistently beats strong baselines in both offline and online adaptation. Example: ReAct+ACE (offline) lifts average score to 59.4% vs 46.0–46.4% for ICL/GEPA. Online, ReAct+ACE reaches 59.5% vs 51.9% for Dynamic Cheatsheet.\n\nPaper: https://t.co/AZRZe0axlI",
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