codecherrs @codecherrs
Joined March 2023-
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@gaooofy 我现在基本是让 codex 操作 premiere pro，我最后做修正，但是创意确实要自己想
这样组织，是为了让每个阶段都有明确的职责和上下文。 需要修改文稿、重新生成某段配音，或者调整动画方案时，我就回到对应的会话继续处理。 这就是我目前实际使用的视频制作流程：按阶段组织会话，确认结果，再推进下一步。
我目前划分了这八个阶段： 01 思路落实 02 写入文档 03 初始化 AE 和 PR 04 梳理 AE 动画方案 05 生成配音并导入 PR 06 生成字幕 07 导出视频 08 沉淀 AE 合成模板 实际制作视频时，我会依次进入对应的会话，确认这一阶段的结果，再推进下一步。
我用 Codex 搭建了我的视频制作流程。 我把整个流程分成不同阶段，为每个阶段创建一个独立的会话，按制作顺序逐步推进。 附一段工作流搭建的录屏，很高兴和大家分享我现在的制作方式。具体的阶段划分和使用逻辑，放在下面的回复里。
2. 最后附一段录屏，很高兴和大家分享我现在的制作方式。我用 Codex 搭建了我的视频制作流程。
实际制作视频时，我会依次进入对应的会话，确认这一阶段的结果，再推进下一步。 这样组织的目的是让每个阶段都有明确的职责和上下文。需要修改文稿、重新生成某段配音，或者调整动画方案时，都回到对应的会话继续处理。
I turned GitHub contribution graphs into a 3D building. Every day becomes a glowing window. Recent activity faces front; earlier weeks wrap around the side. Try it: codecheers.com/vibe-coding/gi… #GitHub #ThreeJS
60 overall CAM, Fantasista. built different, deployed different. get scouted → gitfut.com/code-cheers #GitFut
world-cup-forecast-skill: github.com/code-cheers/wo…
One reason many IT professionals, engineers, and scientists become highly skilled thinkers is that they spend much of their time solving problems. Problem-solving forces you to understand how things work, why they fail, and how to recover when something goes wrong. There is a difference between someone who can implement a system and someone who can troubleshoot it. The person who troubleshoots often develops a deeper understanding because they are constantly investigating failures, identifying root causes, and exploring different solutions. You can build a system by following documentation, but truly understanding a system comes from diagnosing and fixing its problems. The same principle applies to life. Every problem you solve adds experience and teaches you new ways of thinking. Over time, you become better at recognizing patterns, adapting to unexpected situations, and making decisions under pressure. That is why many engineers and scientists are successful problem-solvers beyond their fields. They have spent years facing challenges, breaking them down into smaller pieces, and finding solutions. When something goes wrong, their first instinct is not to panic but to analyze the situation and work through it systematically. I believe I’ve become smarter because I am constantly solving problems. Every day brings a new challenge, and every challenge teaches me something. The more problems you solve, the more knowledge, experience, and judgment you gain.
@yama_kiyo May I ask what specific function you want to implement, and which Adobe MCP are you using?
I'm not very happy with the code quality and I think agents bloat abstractions, have poor code aesthetics, are very prone to copy pasting code blocks and it's a mess, but at this point I stopped fighting it too hard and just moved on. The agents do not listen to my instructions in the AGENTS.md files. E.g. just as one example, no matter how many times I say something like: "Every line of code should do exactly one thing and use intermediate variables as a form of documentation" They will still "multitask" and create complex constructs where one line of code calls 2 functions and then indexes an array with the result. I think in principle I could use hooks or slash commands to clean this up but at some point just a shrug is easier. Yes I think LLM as a judge for soft rewards is in principle and long term slightly problematic (due to goodharting concerns), but in practice and for now I don't think we've picked the low hanging fruit yet here.
而AI更像: 一个极其强大的执行工具 并且AI不会是一个对系统负责的工程主体, 而这块需要人类负责。
youtube.com/watch?v=EV7WhV… 莱克斯·弗里德曼播客的最新视频，里面有个问题相信大家也较为感兴趣: Will AI replace programmers？
像 Chrome 这样复杂的项目 它代表的是：十几年演进、数百万行代码、安全 / 性能 / 兼容性互相牵制 很多是 "你不能乱改，因为文档也没写清楚" 的地方 程序员正在从：写代码的人 -> 定义问题、判断风险、做系统决策的人
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