Sae / Kudou
1.1K posts

Sae / Kudou
@Sae__Eng
| 🥷🏻 さえたエンジニアになりたい | 🧑🏻💻 エンジニア 3年半 → フリーランス 3年目 | 🤖 最近はAIとFlutter | 🤟🏻 好きなものいっぱい | 📄 日々学んだことを吐き出してます

Two years later, I'm building the home dashboard I've always wanted. A single place for: - Household finances - Mortgage, insurance, & property tax details - Equipment, services, & maintenance reminders - Home improvement project tracking - RAG powered search Beta opens soon 🏡

Since it's confirmed that claude code is 90% vibe coded - you might want to switch to codex or something like that for a while, because it is pretty much guaranteed to have multiple 0-days that will be discovered now with these leaks. Even though it's supposed to only talk to Anthropic servers, you never know with this vibe coded slop. So be careful!


数日前にこの結論に到達してたけど本当そう Codex は『達成条件を定めて、それが達成されるまでひたすら試行錯誤する』系のタスクでは圧倒的に高性能なので、Claude と方向性を壁打ちしながら Codex を作業者やレビュワーとして使うとコンテキストを保ったまま設計できて良い感じ

Damn why so many people fall for fake news and screenshot These are fake , Mythos is a super big model anthropic already said in the leaked article they will not serve this to the public and they will give this to cyber defenders first Don't spread fake news 😭



@Sae__Eng 動画よく見れば秒数のカウントアップでわかりますw

Introducing the new dev-browser cli. The fastest way for an agent to use a browser is to let it write code. Just `npm i -g dev-browser` and tell your agent to "use dev-browser"




best coding models right now sync work, shorter iterations, 1-5 agents in parallel: - plan: composer 2 - work: composer 2 when you're in control, you simply only need composer 2. async work, longer iterations, deep work: - work: gpt 5.4 for async, you still want maximum intelligence as speed is less important with a model that can run for a really really long time ui & taste - opus 4.6 is still really strong here - composer 2 is a fast follow, but not as strong (yet) this space moves fast, so it will probably change soon!

I've been using Opus 4.6 and GPT-5.4 one after another (that is, an Opus session then a GPT session then Opus again, and so on) on the same projects for a couple of weeks now, and GPT-5.4 (High) has been consistently more successful. The difference is even more noticeable in debugging tasks, where Claude can spend up to 30 minutes digging without delivering any result, while GPT finishes with the right fix most of the time. The only problem with GPT is its conversational ability, or rather the absence of it. Getting it to explain the reason for the bug or the applied solution in a human-understandable way is a skill in itself.






