Agent 工程

说明 Agent 如何执行工具并继续调用模型，区分流式增量与最终消息，并用一个不依赖模型服务的 Python 示例观察前端状态。

How AWS separates agent proposals, rule checks, human approval, and execution, with code enforcing boundaries and idempotency.

拆解 AWS 如何用确定性工作流分开 Agent 提案、规则验证、人工审批和真实执行，让模型负责候选方案，代码负责边界与幂等。

GitHub Agentic Workflows jsweep checks whether a change is worthwhile and treats noop as valid, instead of forcing automation to produce a diff.

从 GitHub Agentic Workflows 的 jsweep 看 Agent 如何先判断有没有值得修改的目标，把 noop 作为正式结果，而不是为了自动化强行制造改动。

RTK filters test, Git, search, and build noise before command output enters model context, applying context engineering at the tool-output boundary.

介绍 RTK 如何在命令输出进入模型上下文前过滤测试、Git、搜索和构建噪声，把 Context Engineering 做到工具输出边界。

OpenCompany uses company.toml, agent teams, and human sign-off to put organizational structure and agent configuration into version-controlled files.

OpenCompany 用 company.toml、Agent Team 和 Human Sign-off 把组织结构与 Agent 配置写成可版本控制文件，并明确保留人工签字点。

AI agent engineering readings for September 4 to 10, 2026, with key findings, engineering implications, suggested sections, and primary sources.

覆盖 2026-09-04 至 09-10 的 AI Agent 工程阅读日志，保留本期重点、工程意义、优先阅读位置与一手来源。

How jcode handles multi-agent resources, state synchronization, and verification in its harness, beyond the capabilities of the model alone.