
PlanWright — The control plane for autonomous software labor
编写目标,AI代理(Claude、Cursor、Codex)分解并执行编程任务。
dudemanAtl · HN
PlanWright – A control plane for AI coding agents
完整作品展
技术栈
5 projects

编写目标,AI代理(Claude、Cursor、Codex)分解并执行编程任务。
dudemanAtl · HN
PlanWright – A control plane for AI coding agents

Vibe Video — 将图像和文本转化为电影级视频的 AI 生成器。
Vibe Video — 面向普通用户的 AI 视频生成网站,支持文生视频、图生视频、参考图生视频和电影化镜头控制,适合创作者和营销团队快速产出视频

具有家长控制功能的YouTube播放器,支持安全频道白名单,移除Shorts和推荐视频。
@AmblingLife · X

Ravel:为开发者提供AI驱动的项目管理,支持GitHub跟踪和冲刺规划。
@Gallagh819 · X

捕获UI元素及其代码上下文,与AI代理分享以调试视觉缺陷。
Loerei · HN
I found that describing where a broken UI is and taking screenshots for AI agents really sucks. I’m too lazy to explain an indescribable visual bug or capture a millisecond-long flash. I also don’t want to remember which file defines an element, whether it's right in the .tsx or a problem with the Parent Styles in .css. And even if you can point out the exact file, your agent still has to dig through thousands of lines of code to know what on earth you're yapping about. In a 7700-file monorepo like Cal.com, simply giving the right file in the prompt for your agent saves about 68.9% of execution time and 94.2% of the tokens your agent needs to digest. HoverSource gives all the needed information and further pushes it to -88.5% time and -94.5% tokens, basically skipping the entire digging session and jumping straight to reasoning and executing. The save is linear to how big your codebase is. I want to save tokens, but don’t want to spend my time and energy digging manually, and a junio