I have been an AI-coding skeptic for some time. I always acknowledged LLMs as useful for solving specific problems and making certain things possible that weren't possible before. But I've not been surprised to see AI fail to live up to the hype. And I never had a personally magical moment - an experience that shifted my perspective à la the peak end rule.
I've been using GLM 4.6 on Cerebras for the last week or so, since they began the transition, and I've been blown away.
I'm not a vibe coder; when I use AI coding tools, they're in the hot path. They save me time when whipping up a bash script and I can't remember the exact syntax, or for finding easily falsifiable answers that would otherwise take me a few minutes of reading. But, even though GLM 4.6 is not as smart as Sonnet 4.5, it is smart enough. And because it is so fast on Cerebras, I genuinely feel that it augments my own ability and productivity; the raw speed has considerably shifted the tipping point of time-savings for me.
YMMV, of course. I'm very precise with the instructions I provide. And I'm constantly interleaving my own design choices into the process - I usually have a very clear idea in my mind of what the end result should look like - so, in the end, the code ends up how I would have written it without AI. But building happens much faster.
No affiliation with Cerebras, just a happy customer. Just upgraded to the $200/mo plan - and I'll admit that I was one that scoffed when folks jumped on the original $200/mo Claude plan. I think this particular way of working with LLMs just fits well with how I think and work.
I was AI skeptic too a year ago , but recently i wanted a windows exe program to do the same as a complicated bash script on linux.
i gave the bash script to claude code, which immediately started implementing something in the zig language. after a few iterations, i had zig source code that compiled in linux , produced a windows exe and perfectly mimicked the bash script.
Your post has inspired me to check them out. How do you use it, with their UI oe to power some other open source tool?
Do you suggest that this thing is so fast its simpler now to quickly work on one thing at a time instead of the 5 background tools running in parallel which might have been a pattern we invented because these things are so slow?
I’ve been using the crush TUI primarily. I like that I have the flexibility to switch to a smarter model on occasion - for awhile I hesitated to pick up AI coding at all, simply because I didn’t want to be locked into a model that could be immediately surpassed. It’s also customizable enough with sane defaults.
I've been using GLM 4.6 on Cerebras for the last week or so, since they began the transition, and I've been blown away.
I'm not a vibe coder; when I use AI coding tools, they're in the hot path. They save me time when whipping up a bash script and I can't remember the exact syntax, or for finding easily falsifiable answers that would otherwise take me a few minutes of reading. But, even though GLM 4.6 is not as smart as Sonnet 4.5, it is smart enough. And because it is so fast on Cerebras, I genuinely feel that it augments my own ability and productivity; the raw speed has considerably shifted the tipping point of time-savings for me.
YMMV, of course. I'm very precise with the instructions I provide. And I'm constantly interleaving my own design choices into the process - I usually have a very clear idea in my mind of what the end result should look like - so, in the end, the code ends up how I would have written it without AI. But building happens much faster.
No affiliation with Cerebras, just a happy customer. Just upgraded to the $200/mo plan - and I'll admit that I was one that scoffed when folks jumped on the original $200/mo Claude plan. I think this particular way of working with LLMs just fits well with how I think and work.