写作

How Foreman separates a coding agent from supervision, using runtime evidence, Jev judgments, and deterministic policy to continue, verify, stop, or escalate.

Use When Agents Slow Down, Reflexion, Hyperband, and agent evaluation to compare continued revision with independent attempts under reproducible budgets.

结合 When Agents Slow Down、Reflexion、Hyperband 和 Agent 评测，说明怎样比较连续修改与独立尝试，并设计可复现的预算分配实验。

Gemini Live Extended Thinking separates conversation turns from background task lifecycles. Clients need interaction_status to track actual completion.

Gemini Live Extended Thinking 把对话回合与后台任务生命周期拆开，客户端需要用 interaction_status 管理真正的完成状态。

Use Kitaru Replay, Evaluator, and Regression Suite to preserve production failures as repeatable agent tests, with tool policies and CI gates.

结合 Kitaru 的 Replay、Evaluator 和 Regression Suite，说明怎样把线上失败固定成可重放的 Agent 回归测试，并用工具策略与评测结果接入 CI。

How OpenAI Agents API and Anthropic Managed Agents use sessions, context windows, compaction, and persistent state for long-running agents.

结合 OpenAI Agents API 和 Anthropic Managed Agents，解释 Session、Context Window、Compaction 与持久状态怎样支撑跨上下文窗口的长任务 Agent。

Skills Manager distributes a local skill library to Claude Code, Codex, Cursor, and Gemini CLI while managing version and configuration consistency.

介绍 Skills Manager 如何用本地 Skill Library 统一分发到 Claude Code、Codex、Cursor 和 Gemini CLI，并处理版本与配置一致性。

Tau separates model adapters, the agent core, and the application so tools and frontends can work together without depending on each other.