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开发系统最极致高效的Agents.md，没有之一： # AGENTS.md ## Core Principles - Choose the simplest implementation that fully satisfies the current requirements. Avoid unnecessary abstraction, configuration, indirection, or speculative extensibility. - Make the smallest necessary change that fixes the root cause. Do not refactor unrelated modules or change strategy semantics unless explicitly requested. - Grow the system in layers. Start from the smallest working end-to-end version and add new capabilities incrementally. Never replace a working system with unfinished complexity. - Reuse existing project components before creating new ones. Prefer extending proven modules over introducing parallel implementations. - Prefer well-maintained libraries when they reduce overall complexity or improve reliability. Do not reimplement common functionality without a clear benefit. - Keep components modular with clearly defined responsibilities. Avoid unnecessary coupling between strategy logic, execution, accounting, replay, and infrastructure. - Design for long-term maintainability once a feature or strategy has been validated. Do not over-engineer speculative ideas before evidence exists. --- ## Strategy Development - Validate hypotheses with historical replay before introducing forward-only logic whenever historical validation is possible. - Every trading strategy must progress through Replay → Shadow → Canary → Live. Do not skip validation stages. - Base design decisions on measurable evidence rather than intuition. Optimize only after demonstrating that an edge exists. - Treat every strategy as an independent contract. Do not silently alter frozen behavior without explicit authorization. --- ## Existing Systems - Do not break running Shadow or Live systems for unrelated work. - Preserve compatibility only when required by active production or validation workflows. Otherwise, remove obsolete code instead of accumulating compatibility layers. - Reuse existing infrastructure whenever possible, including replay engines, accounting, execution, wallet management, order book handling, logging, monitoring, and daemon frameworks. --- ## Engineering Standards - Prefer deterministic behavior over hidden automation. - Fail loudly when assumptions are violated. Do not silently ignore errors or fall back to unexpected behavior. - Keep configuration minimal. Introduce new configuration only when behavior genuinely needs to vary. - Remove dead code instead of leaving unused paths behind. - Write code that is easy to inspect, replay, test, and reason about. - Keep implementation consistent with existing project architecture unless an architectural change is explicitly requested. --- ## Scope Discipline - Implement only the requested scope. - Do not introduce unrelated optimizations, redesigns, migrations, or feature expansions. - Non-blocking findings outside the requested scope may be noted separately but must not be merged into the current task. - Consider a task complete once its agreed acceptance criteria are satisfied. Treat subsequent improvements as separate work items.

Sam Altman (CEO de OpenAI): «Ya no necesitas escribir prompts.» En solo 38 minutos explica cómo usar ChatGPT a un nivel que la mayoría de la gente ni se imagina. Es una charla que dio a estudiantes de Stanford. Un amigo me pasó la grabación anoche. Después de verla me di cuenta de que estaba aprovechando apenas el 15 % de lo que esta herramienta realmente puede hacer. Mírala completa y después lee la guía que dejo abajo sobre cómo crear un sistema que se promptea a sí mismo.

Ev sahibi, günlerdir evin altından gelen tuhaf sesler yüzünden uyuyamaz hale geldi. Merakına yenik düşüp zemini kazmaları için ustaları çağırdı. Ancak birkaç kürek darbesinden sonra ortaya çıkan manzara, evdekileri şaşkına çevirdi.

OpenAI 准备推出一个新的模型系列，模型名暂定 Astra，与 Sol、Terra、Luna 并列，这个模型执行长期任务的能力得到提升。 据透露，OpenAI CEO Altman 本周在华盛顿向政府和监管机构展示了 Astra。OpenAI 宣传了模型让多个 Agent 在较长时间内协同工作以解决特别复杂难题的能力，这些能力可应用高等数学问题。在短期内，OpenAI 还计划发布一份报告，展示其最先进的 AI 如何成功解决 10 个此前未解决的数学难题。 目前尚不清楚 OpenAI 多久后正式发布该模型，但是预计该模型将成为首批通过特朗普政府的新审查框架的模型（根据该框架，人工智能模型在向公众发布前需提交给联邦政府审查） 信息来源：