i made it is an open-source version of grammarly that uses chatgpt, grok subscription or even then already local apple intelligence models.
Any conversation
Developed a Vinboard (my pinboard.in clone) shortcut, works really well. On iOS it lives in Share menu, on macOS in the Dock. Click sends the current browser page (Safari, Chrome, Zed, Firefox) for bookmarking. On the server side Jev decides tags from 60 least recently used; and archival opens a real Chrome to save the whole page for posterity.
Unlimited API limits and direct requests to the database.
Pinboard charges for much less functionality $22/year.
I have developed a beautiful free app that lays out Instagram feed photos as a perfect masonry grid every time, no matter which photos you provide it. It's completely free to use if anyone wants to check it out
Very cool! At least the landing page is amazing! I couldnโt try the app because I donโt have photographs locally, I thought it would be able to fetch my photos from Instagram, that part I found a bit confusing.
It's to create the post FOR Instagram, so does need to pull from your photos on a device ๐
Ok I see! Curious wouldnโt that be a good paid plugin for WP or standalone?
az interneten nem lehet egy kรฉpet sem รกtmรฉretezni, sem Windows alatt, a Grok is csak hozzรกvetลlegesen dolgozik, mi kรถvetkezik ebbลl, muszรกj lesz beengedni Gemmรกt, mintha Linus Thorvalds a napokban panaszkodott volna, hogy a Linuxot is elรกrasztotta az ai
You can't resize an image on the internet, not even under Windows, Grok only works roughly, what follows from this, we'll have to let Gemma in, as if Linus Thorvalds had complained the other day that Linux was also flooded with AI
there's no fundamental physical limit that prevents silicon from developing taste and judgement, but language is a lossy compression of reality.
taste comes from experience, from the shadowy mass of episodic memory, which swirls and convects at the boundary of consciousness. the ideas recombine into new ones in the nuclear reactor of the hippocampus.
but no matter how imbued with meaning and expertise is a handmade wardrobe we still get our shit from ikea
Really glad to be using Haskell for work - especially in today's climate with agentic coding.
Our team uses containers to keep our development environment consistent across team members, though, and most agent sandbox approaches want to either offload your work fully to the cloud or they want to sandbox the agent harness process itself.
We're not ready for full cloud based development (yet?) and sandboxing just the agent doesn't work for us when the agent needs to run docker.
... because letting the agent run docker gives them a too-easy escape hatch from their sandbox.
So we're currently stuck with using VMs. This turns out to be tricky but seems do-able.
My current approach is to provision a VM image and use Incus for the execution. My main goal is to keep my current workflow of local/non-agent dev working seamlessly and share the source with the VM/agent.
This means sharing my working dirs with the agent VM but overlaying artifact dirs from VM-owned block devices so we don't take too big of an IO perf hit.
I also don't want the agent to be able to
git push so that means we need some quirky git config to rewrite origin paths and thread through some agent specific PATs ("thanks" GitHub) for read-only repo access. These ALSO need to be threaded through to the development containers - they need to clone private repos.... in the end, this seems to work but I haven't lived with it for long.
There are still some quality of life issues to work out, but I think it'll work out.
At this point, I've removed all coding agents from my host - and that's nice.
Curious, why does using Haskell make a difference here?
It's tangential to the sandboxing topic, really. I started the first post with a broader intent in mind and then elaborated on the sandboxing setup I'm working on.
For AI-assisted coding, though, it's nice because Haskell provides a lot of feedback earlier in the development process compared to lots of other languages. It tends to work once it compiles (obviously not all the time).