FWIW, didn't have any luck with the generator at the bottom, could be user error.
I really wonder if GLM 4.7 or models a few generations from now will be able to function effectively in simulated software dev org environments, especially that they self-correct their errors well enough that they build up useful code over time in such a simulated org as opposed to increasing piles of technical debt. Possibly they are managed by "bosses" which are agents running on the latest frontier models like Opus 4.5 or Gemini 3. I'm thinking in the direction of this article: https://www.anthropic.com/engineering/effective-harnesses-fo...
If the open source models get good enough, then the ability to run them at 1k tokens per second on Cerebras would be a massive benefit compared to any other models in being able to run such an overall SWE org quickly.
Over the next six months we rebuilt on plain AWS: EKS for the Next.js app, Aurora Postgres in-VPC, SQS for jobs, all managed with Terraform. A Cloudflare Worker mirrored an increasing slice of live traffic to Kubernetes until everything looked solid, then a DNS flip made it the source of truth.
Supabase data flowed into Aurora via logical replication; once lag was near zero we swapped the connection string and retired the old stack without users noticing. Costs are predictable now and we control most knobs.
We put this post together as a bit of a retro and to help if you're evaluating a similar path for your company.
We removed our previous plan tier of $1 per 2,000 sends.
Example: You have 4,000 users and you send an automated onboarding email along with an occasional product update every month or two.
Your product also generates daily rollup emails, along with product notifications, and other standard transactional emails, maybe 100,000 emails a month total.
That's now available at the same price, just $49.
Say next month you gain another 500 users and you send 200,000 emails. That's still just $49 a month.
Our goal is to help you send all your emails from one platform for a single price point and this gets us one step closer.