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Hacker News · 2026-05-14 · 已成文 · 来源 file

Show HN: PlanBridge: open-source tool for precise feedback on coding agent plans:与 Agent/MCP/harness/Claude 工程化相关,值得纳入处理集沉淀。

为什么重要

来自 FR star 处理集的 Mode B 补写:把历史收藏连回 Vault 知识文,避免只 mark_read 导致的断档。

正文

Show HN: PlanBridge: open-source tool for precise feedback on coding agent plans:与 Agent/MCP/harness/Claude 工程化相关,值得纳入处理集沉淀。

Claim

Show HN: PlanBridge: open-source tool for precise feedback on coding agent plans:与 Agent/MCP/harness/Claude 工程化相关,值得纳入处理集沉淀。

Why it matters

来自 FR star 处理集的 Mode B 补写:把历史收藏连回 Vault 知识文,避免只 mark_read 导致的断档。

Summary

Mode B 收藏补写条目。主源为 FR favorite + Vault 快照。 正文以标题/URL/既有 content 线索整理为背景/机制/取舍/动作;未做全文二次抓取时已在 caveats 标明。

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Body

正文

背景

该条目已在 FreshRSS star(处理集),但此前清未读流水线未对其做 ka-v0 沉淀,形成 star 与知识文断档。

机制

Mode B:对 favorite 无 ka 队列写回同一 Vault item 的 manualnotes(围栏 YAML + Markdown 正文),source 提升为 aideeparticle,tags union ka-v0/deep-article,并 markread 对齐。

取舍

批量补写优先覆盖断档与可打开 ITEM_URL,而非每条全量杂志深研;浅信号走 shallow,噪声 discard。

动作

打开 ITEM_URL 校验;P0 剩余队列继续同一脚本;可选 1:N 合并同主题 star。

结合的源文章

主源
Show HN: PlanBridge: open-source tool for precise feedback on coding agent plans
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Hi HN, we're Donnie, Josh, and Ben from ContextBridge.

We open sourced PlanBridge, a CLI tool for precision feedback on your coding agent's plans. It uses standard coding agent hooks (or skills) to open a local browser with the rendered markdown plan, letting you select text and leave inline comments on the plan.

Like most engineers, we use coding agents daily, but we realized the UX sucks for precise feedback on plans and other markdown. Reviewing even a short markdown plan in a terminal is tedious and frustrating. You have to scroll up and down, keep context in your head, and dump all your feedback into a single chat input at the bottom.

Because the friction is so high, we found ourselves settling for "good enough" plans. But every shortcoming or missing context in the plan becomes harder and more expensive to fix after the code is generated. Basically, we were burning time and tokens trying to clean up the code slop that was a direct result of imprecise plans.

So we built PlanBridge to make it frictionless to give precise feedback to a coding agent plan (and any other markdown) with document-style comments in a local browser.

Here is how it works under the hood:

1. It runs entirely locally. Your plan content never goes to a remote backend.

2. It uses standard harness hooks to get notified when an agent creates a plan (in "plan mode"). For Claude Code, it uses the plugin hook on ExitPlanMode. For Codex, it uses the Stop hook entry.

3. It pops open a local browser window with the rendered plan making it easy to read. You can then highlight specific text, drop inline comments exactly where you need to, and request changes (or approve if you have no feedback).

4. It pipes your structured, anchored feedback back to the agent, which then revises the plan. If you approved the plan, the agent starts coding.

5. For reviewing content that isn’t from a hook or outside of plan mode, you can use the /planbridge:open (for Codex its $planbridge-open) skill to iterate and give precise feedback.

We’re developers and, like you, hate invasive tools. PlanBridge is designed to fit into your existing coding agent workflow (no heavy UX) and uninstalls easily if you don’t find it useful.

Right now, the auto-installation supports Claude Code and Codex. If you use other agents, you can still use it asking your agent to run contextbridge for you.

You can try it out immediately (macOS/Linux): /bin/sh -c "$(curl -fsSL https://downloads.contextbridge.ai/cli/install.sh)"

Github: https://github.com/contextbridge/planbridge

Official Site: https://plan.contextbridge.ai/

Slack Community: https://go.contextbridge.ai/join-community/

We think feedback is a gift, so would love to hear yours. We’ve got some interesting features and ideas in the works including: support for precision code review feedback, allowing other agents to add comments to markdown files, summarizing what changed between plans, and lots of others in the issue tracker.


Comments URL: https://news.ycombinator.com/item?id=48139177

Points: 4

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