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

Blacksmith.sh acquisition in 3, 2, 1 ...

Then Cursor takes on GitHub for the control of the repo.

As a Graphite employee, would love this tbh - we love Blacksmith!

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

90% as good as Sonnet 4 or 4.5? Openrouter just started reporting, and it's saying Haiku is 2x as fast (60tps vs 125tps) and 2-3x less latent (2-3s vs 1s)

Do you have a definition of what is considered a small vs large coding task?

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.

Observability is a good guess, but I'd venture to guess that the conversations going on internally are about how to capture value across the entire stack. I wouldn't be surprised if we hear about them acquiring either a database/warehouse company and/or an analytics solution. Or vice versa, them getting acquired by a bigger player that wants to offer more connectors and data modeling functionality.

This is what we do at Augmentcode.com.

We started with building the best code retrieval and build an agent around it.

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

> I'm not saying the DORA study is more accurate, but at least it surveyed 5000 developers, globally and more recently

It's asking a completely different question; it is a survey of peoples' _perceptions of their own productivity_. That's basically useless; people are notoriously bad at self-evaluating things like that.

It didn't "survey" devs. It paid them to complete real tasks while they were randomly assigned to use AI or not, and measured the actual time taken to complete the tasks vs. just the perception. It is much higher quality evidence than a convenience sample of developers who just report their perceptions.

Yea cite the study funded by a company that invested billions into AI instead, that will surely be non biased and accurate.

Didn't the tldr of grok 4 was their over tuned for bencmhark results but in day to day tasks . It's actual not better than o3 / gpt5

This is great work. Would love to see Augmentcode.com remote agent. If you are down OP, msg and I'll give you a free subscription to add to the test