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knes

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Notion is killing Notion Mail EOL sept 2026

notion.com
8 ポイント·投稿者 knes·16 日前·0 コメント

Same Opus 4.7, 33% fewer tokens: where coding agent cost comes from

augmentcode.com
2 ポイント·投稿者 knes·2 か月前·0 コメント

A good AGENTS.md is a model upgrade. A bad one is worse than no docs at all

augmentcode.com
6 ポイント·投稿者 knes·3 か月前·0 コメント

Designing with code, without writing code

augmentcode.com
2 ポイント·投稿者 knes·3 か月前·0 コメント

How I went AI-native in my terminal workflow

augmentcode.com
2 ポイント·投稿者 knes·4 か月前·0 コメント

Review the Spec. Not the Code

augmentcode.com
5 ポイント·投稿者 knes·4 か月前·0 コメント

Building faster than you can think

augmentcode.com
1 ポイント·投稿者 knes·4 か月前·0 コメント

Agent's context is a junk drawer

augmentcode.com
2 ポイント·投稿者 knes·4 か月前·0 コメント

Why every AI coding breakthrough feels normal within 90 days

augmentcode.com
1 ポイント·投稿者 knes·4 か月前·0 コメント

Why every AI coding breakthrough feels normal within 90 days

augmentcode.com
2 ポイント·投稿者 knes·4 か月前·0 コメント

Spec isn't cool. You know what's cool? 10 specs

augmentcode.com
1 ポイント·投稿者 knes·4 か月前·0 コメント

Show HN: We got sick of juggling terminals for AI agents so we built a workspace

augmentcode.com
1 ポイント·投稿者 knes·5 か月前·0 コメント

[untitled]

1 ポイント·投稿者 knes·5 か月前·0 コメント

Show HN: We got sick of juggling terminals for AI agents so we built a workspace

augmentcode.com
3 ポイント·投稿者 knes·5 か月前·0 コメント

Rebuilding state management: How we made our VS Code extension 2× faster

augmentcode.com
1 ポイント·投稿者 knes·7 か月前·0 コメント

Why GPT-5.2 is our model of choice for Augment Code Review

augmentcode.com
12 ポイント·投稿者 knes·7 か月前·4 コメント

We Added ACP Support to Augment (Now in Zed, Neovim, and Emacs)

augmentcode.com
3 ポイント·投稿者 knes·8 か月前·0 コメント

Developers are choosing older AI models

augmentcode.com
183 ポイント·投稿者 knes·8 か月前·176 コメント

The productivity paradox of AI coding assistants

cerbos.dev
10 ポイント·投稿者 knes·10 か月前·2 コメント

コメント

knes
·4 か月前·議論
Agreed.this paper studied 33k+ agent-authored PRs on GitHub (https://arxiv.org/pdf/2601.15195)

#1 rejection reason: missing context. 80% needed human fixes. Agents can write code fine. They just don't know what "done" looks like in your codebase.

Count successful merges into repos with real history instead of LOC and the hard part is specification, not execution.

Wrote about this topic @ https://www.augmentcode.com/blog/the-end-of-linear-work
knes
·4 か月前·議論
what if you move from reviewing the code to reviewing the spec?
knes
·5 か月前·議論
At Augment' we've been working on this. Multi agents orchestration, spec driven, different models for different tasks, etc.

https://www.augmentcode.com/product/intent

can use the code AUGGIE to skip the queue. Bring your own agent (powered by codex, CC, etc) coming to it next week.
knes
·6 か月前·議論
At augment code we specifically build our code review tool to find noise to signal ratio problem. In benchmark our comments are 2 to 3x more likely to get fixed compared to bugbot coderabbit etc

You should check it at Augmentcode.com
knes
·7 か月前·議論
Blacksmith.sh acquisition in 3, 2, 1 ...

Then Cursor takes on GitHub for the control of the repo.
knes
·8 か月前·議論
is this a mishap/ leak? dont see the model yet
knes
·9 か月前·議論
At augmentcode.com, we've been evaluating Haiku for some time, it's actually a very good model. We found out it's 90% as good as Sonnet and is ~34% faster than sonnet!

Where it doesn't shine much is on very large coding task. but it is a phenomenal model for small coding tasks and the speed improvement is much welcome
knes
·9 か月前·議論
Fivetran acquired Census (reverse-etl) & Tobiko (dbt alternative).

I wonder who's next to really consolidate their platform play and compete with the old legacy MDM provider like Informatica. Data Observability or Catalog like Monte Carlo and Atlan. The whole Modern Data Stack has either died, acquired or merged by now. Wonder what's missing for Fivetran to IPO too.

I also wonder what this merge means for Airbyte who raised 150m at 1.5b in 2023.
knes
·9 か月前·議論
This is what we do at Augmentcode.com.

We started with building the best code retrieval and build an agent around it.
knes
·10 か月前·議論
the MTR study is a joke. it surveyed only 16 devs. in the era of Sonnet 3.5

Can we stop citing this study

I'm not saying the DORA study is more accurate, but at least it surveyed 5000 developers, globally and more recently (between June 13 and July 21, 2025) which means using the most recent SOTA models
knes
·昨年·議論
does that mean that Windsurf will only support OpenAI models going forward? I doubt OpenAI will pay to have users use Gemini/Claude? Especially as all of these Ai coding tools (Windsurf, Augment, Cursor) are heavily subsidizing the users.

I wonder what Anthropic makes of this. Windsurf was like a top 3 customers of them, might be a big revenue blow too?
knes
·昨年·議論
Have you checked Augmentcode.com? On reddit/youtube people are praising it for how well it handle large codebase compared to Cursor and Windsurf