ALT A post by Matthew Phillips saying he feels Astro should integrate with Effect somehow, even though he does not have specific ideas yet. Below, Adam Thyer replies, “Please do!”
Using Warp has been one of the best decisions we’ve made at @EffectfulTech to streamline HR for our business.
Looking forward to leveraging all the great features in Warp 2.0!
We’ve raised $85M for this moment.
Introducing Warp 2.0: The first AI Head of HR.
Every company is building AI to replace jobs. Warp is building AI to do the jobs no human should have to:
If you work in HR, I want you to spend time with the manager who needs help or building company culture people actually want to work at.
If you’re a founder, I want you to focus on signing clients or spending time with your family.
You shouldn’t have to figure out how to register state tax in California. You shouldn’t have to pay outrageous penalties because you don't know what a DE 9C is.
I want to make HR human again. Today, this is finally possible with the Warp Agent.
I’d love for you to see it in action: warp.co/agent
Better late than never - this week's Module of the Week is all about RcMap, @EffectTS_ 's reference counted map module.
See you nerds at Office Hours tomorrow!
effect.website/blog/module-o…
Very excited. I remember a number of years ago there were a number of attempts to do similar things in regular JavaScript that didn't catch on. I think TypeScript has made it much more viable. I think it's one of the most important libraries being developed today.
I sort of feel like @astrodotbuild should do something to integrate with @EffectTS_ some how. I have no actual ideas here so don't ask me, it just feels *directionally* the right thing to do.
Been thinking a lot lately about how AI has changed open source maintainership.
It's more fun now in many ways. More people are able to jump in and contribute, but that's also what makes it more challenging.
The quality of AI-assisted PRs and issues is all over the place, and they usually come with a metric fuck ton of context.
Much of our time working on @EffectTS_ now goes into figuring out whether a reported bug actually exists or if the AI hallucinated it, or if a proposed feature makes sense for the library.
That said, I'm not convinced much has changed. Maintainer overhead was always high. PRs used to show up with no description and you'd have to guess the intent from the diff. Now you get a wall of text and have to dig through the slop to find what actually matters.
Either way, the job has always been separating signal from noise.
Rhys is cooking with @alchemy_run. If you need a reason to try alchemy, it's the speed of verification loops.
Agents can TDD whole services that work well and have sensible code structure thanks to Alchemy's Effectful Runtime abstraction.
The Effect community is meeting on both US coasts this September:
🗽 NYC - Sep 24, 6:30 PM
luma.com/2e0qaazh
🌉 SF - Sep 30, 5:30 PM
luma.com/all-things-effect
Come spend an evening talking all things Effect!
Better late than never - this week's Module of the Week is all about RcMap, @EffectTS_ 's reference counted map module.
See you nerds at Office Hours tomorrow!
effect.website/blog/module-o…
Better late than never - this week's Module of the Week is all about RcMap, @EffectTS_ 's reference counted map module.
See you nerds at Office Hours tomorrow!
effect.website/blog/module-o…
@EffectTS_ amazes me every day, like today when I realized I accidentally wrote good code just because it was naturally the path of least resistance by abstracting Silk's cache storage into a service and it basically gave me the entire basis for remote caching. Entire products are built around this and Silkla.ng got it by accident
ALT A post by Maximilian saying that Cloudflare, Alchemy, and Effect make a strong stack for building AI agents. He says the combination provides the primitives needed to build applications, adds guardrails to keep agents on track, and keeps infrastructure in code.
This is now available in the latest @EffectTS_ RC release.
You can use @effect/ai-typesafe or the open router package to provide a DecisionModel implementation.
Asked the team if I should spend the weekend adding Jev support to the @EffectTS_ AI SDK
@tim_smart replied with this five minutes later
Guess I'm free this weekend