← Back to context

Comment by jatins

8 days ago

Experience depends on which FAANG it is. Amazon for example doesn't allow Claude Code or Codex so you are stuck with whatever internal tool they have

Meta, despite competing with these, is open to let their devs use better off the shelf tools.

7 comments

jatins

Reply
konaraddi  8 days ago

I work at aws and generally use Claude Opus 4.6 1M with Kiro (aws’s public competitor to Claude Code). My experience is positive. Kiro writes most of my code. My complaints:

1. Degraded quality over longer context window usage. I have to think about managing context and agents instead of focusing solely on the task.

2. It’s slow (when it’s “thinking”). Especially when it’s tasked with something simple (e.g., I could ask Claude Opus to commit code and submit for review but it’s just faster if I run the commands myself and I don’t want to have to think about conditionally switching to Haiku / faster models mid task execution).

3. It often requires a lot of upfront planning and feedback loop set up to the extent that sometimes I wonder if it would’ve been faster if I did it myself.

A smarter model would be great but there are bigger productivity gains to be had with a good set up, a faster model, and abstracting away the need to think about agents or context usage. I’m still figuring out a good set up. Something with the speed of Haiku with the reasoning of Opus without the overhead of having to think about the management of agents or context would be sweet.

  • dvfjsdhgfv  8 days ago

    > A smarter model would be great but there are bigger productivity gains to be had with a good set up, a faster model, and abstracting away the need to think about agents or context usage. I’m still figuring out a good set up. Something with the speed of Haiku with the reasoning of Opus without the overhead of having to think about the management of agents or context would be sweet.

    I was thinking about this recently. This kind of setup is a Holy Grail everyone is searching for. Make the damn tool produce the right output more of the time. And yet, despite testing the methods provided by the people who claim they get excellent results, I still come to the point where the it gets off rails. Nevertheless, since practically everybody works on resolving this particular issue, and huge amounts of money have been poured into getting it right, I hope in the next year or so we will finally have something we can reliably use.

j3k3  8 days ago

Meta is doing something healthy - signalling that it is behind with its LLM efforts. Nothing wrong with that.