A comment on our last post found a hole in our agent approval gate. Here's what we found
Summary
作者复盘其共享 markdown 记忆库中的 agent 审批流程漏洞:审批只发生在聊天中、提交滞后或缺失、ingest agent 自行提交了绝大多数 commit,导致『已提交』并不等于『人工审阅过』。他们实施了轻量修复,包括未审阅文件标注、超过 7 天的 open change 周检、以及 review flag 必须指定负责人,并就 review gate 应放在读侧还是写侧征求意见。
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@vintcessun: Alibaba open-sourced a code review tool. The core idea is interesting — a hybrid architecture of deterministic engineering + Agent. Common issues with pure LLM review: incomplete coverage, line number drift, and unstable quality. It uses a deterministic pipeline for file selection, grouping, and rule matching, while the Agent is only responsible for dynamic decision-making and context...
Alibaba open-sourced Open Code Review, an AI code review CLI tool that adopts a hybrid architecture of deterministic engineering and Agent. It has been running internally for two years and has discovered millions of defects.
Not every agent action should need the same approval
作者探讨 AI Agent 审批流程的设计问题,主张审批应基于风险等级而非组织架构——读操作放行、常规更新记录放行、高风险操作才需指定人工审批,并指出真正的业务规则往往存在于未文档化的实践者经验中,而不是 API 权限模型里。
@knoYee_: https://x.com/knoYee_/status/2062780637677752366
The author reviews three months of experience using multi-agent collaboration, summarizing five main pain points (such as conflicts between agents, ignoring boundary conditions, self-censorship failure, difficulty in merging decisions, and exposing harder problems after compressed execution) and two insights (the high value of read-only review agents, and that agent conflicts expose ambiguous requirements), emphasizing the core decision-making role of humans in AI collaboration.
@guansi: Recently, I chatted with a few colleagues who handle review processes, and it feels like everyone’s got this pent-up fr…
作者分享了与负责评审的同事交流后的感受:新人借助AI提交的提案质量远超其实际水平,导致评审者需要投入大量精力反复审阅和反馈,而新人自身能力并未同步提升,这种错配可能成为未来的大问题。
@GKev1n: Stop obsessing over having Sub-agents review each other's code — you think it's "stepping on your own foot to reach the sky," but it's really "pickpocketing yourself." I couldn't agree more with poteto's take today!! She said outright that adversarial code review is mostly just burning tokens ——
The author agrees with poteto, criticizing adversarial code review between sub-agents as a waste of tokens, pointing out its three fatal flaws — meaningless nitpicking, over-engineering, and mismatched compute — and noting that top teams are shifting toward real testing, formal verification, and actual red-teaming to find issues.