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トップ新着トレンドコメント過去質問紹介求人

tonkkatonka

344 カルマ登録 3 年前

投稿

Enabling non-devs to contribute code at Slack

aviator.co
1 ポイント·投稿者 tonkkatonka·6 日前·0 コメント

How long before we stop reading the code?

thenewstack.io
9 ポイント·投稿者 tonkkatonka·19 日前·3 コメント

Do we even need a better GitHub?

aviator.co
4 ポイント·投稿者 tonkkatonka·2 か月前·0 コメント

Tokenmaxxing and the search for AI metrics that matter

leaddev.com
2 ポイント·投稿者 tonkkatonka·3 か月前·1 コメント

I said code review was dead. Here's what I got wrong – and right

aviator.co
1 ポイント·投稿者 tonkkatonka·4 か月前·1 コメント

Stop throwing AI at developers and hoping for magic

leaddev.com
3 ポイント·投稿者 tonkkatonka·4 か月前·0 コメント

What If Code Review Happened Before the Code Was Written?

aviator.co
1 ポイント·投稿者 tonkkatonka·4 か月前·0 コメント

How to Kill the Code Review

latent.space
19 ポイント·投稿者 tonkkatonka·4 か月前·5 コメント

To jump on the agent orchestration wagon or not?

aviator.co
1 ポイント·投稿者 tonkkatonka·5 か月前·1 コメント

AI and Developer Productivity: Insights from a 100k-Developer Stanford Study

youtube.com
2 ポイント·投稿者 tonkkatonka·6 か月前·1 コメント

Why AI Coding Still Fails in Enterprise Teams

aviator.co
1 ポイント·投稿者 tonkkatonka·6 か月前·1 コメント

コメント

tonkkatonka
·2 か月前·議論
Maybe.

Humans just can't thoroughly review the amounts of code AI can produce. But the answer is not YOLO and just ship blindly whatever AI created.

The answer is to move the human review/judgment upstream. You review specs. You review the steps. You review the verification rules. You review the contract the code must fulfill.

https://www.latent.space/p/reviews-dead
tonkkatonka
·3 か月前·議論
Some engineering organizations are measuring AI output via tokens burned, some compare engineers to executive chefs, and some rely on self-reporting.
tonkkatonka
·4 か月前·議論
The response to my piece about killing the code review was loud. This is my attempt to address the comments.
tonkkatonka
·4 か月前·議論
[dead]
tonkkatonka
·4 か月前·議論
Human-written code died in 2025. Code reviews will die in 2026.
tonkkatonka
·5 か月前·議論
What's working, what’s still vaporware, who should be paying attention, and what the real path forward looks like for teams that want to be ready when orchestration goes mainstream.
tonkkatonka
·6 か月前·議論
Stanford researcher shares insights from large-scale studies on developer output, why early AI productivity claims were overstated, and what engineering leaders should (and shouldn’t) measure when rolling out AI across the software development lifecycle.
tonkkatonka
·6 か月前·議論
Four industry veterans — Kent Beck, Bryan Finster, Rahib Amin, and Punit Lad — shared their perspectives on how enterprises can adopt AI coding tools wisely.