DrSiemer
Joined 15 years ago
Joined 15 years ago
But in the past year the production boost is just insane. LLM assistance took away so many of the barriers that prevented me from executing on ideas.
I've also learned more than ever before, although it is admittedly getting harder to stay involved when the models are becoming more and more reliable.
What I have not figured out yet is why most developers around me do not share this effect. It's like it mostly works for a very specific subset of people, that do understand code, but it's not their main focus.
Just take a look at what is happening with the M-Wave FM1. Stating those devs would be lost without Ai won't stop the tide. It's not going to go away.
Just don't expect to end up with a finished project; it's more like a first draft. Once it's there, it's much easier to determine what it is you actually want, since you can directly experience what works and what should be changed.
One important caveat is that I do not work with agents; each step goes through a fairly rigid manual review phase.
I'd argue even that is done better on underground services. Plus they'll just show you actually useful metrics, like the IMDB rating.
A game having two main uninterrupted halves is one of those foundational facts. Players train for being able to play for that long without getting too thirsty to continue.
It's not something I necessarily associate with "good writing". Or does the skill transcend the medium and help you write better long form content as well?
I intend to use it to work on low stakes vibe coding projects while I'm doing other stuff. Todays LLMs are a lot better at interpreting rambling dictation with mid-message corrections.
There are a few paid programs out there that do the same, but they made my vibe slop sense tingle and are not aimed at development.
That did also make the community lose out on the answer though.
The fact that such a large part of the population supports literal murder could also be considered a political statement. One that would not have been expressed so strongly without what happened.
So much of this madness could be resolved with a simple income cap. Musk’s wealth grew by $1 million per minute over the past year. Who can seriously argue that this is fair and balanced?
Presentable: a photo library sorter with Ai powered organization assistance, a compare canvas with various viewing modes and customizable folder sorting shortcut templates (wip).
AlwaysWhisper: a tool that let's me attach STT to my entire OS, with custom wrappers for different programs, adding theoretical voice control to any software (wip).
ScreenLoader: an Electron based tool that can load any web source as a kiosk app, full of useful features like keep-alive, covering multiple screens and tracking output logs.
Inputboard: a unified all-inputs hardware board, that transfers input data to any prototype I want to work on using an optocoupler, so I won't have to fiddle around with setting up clean and reliable inputs from cheap Chinese components every time I just want to test something.
Squire: an agentic board game helper, that can ingest a manual and will hopefully help decrease the time spent on endless discussions about seemingly conflicting rules. It should also be able to help me play a game when I don't fully understand the rules myself yet (wip).
NodeRunner: an agent that plays the WikiGame, focusing on speed, efficiency and token usage (the result of a fun competition with a colleague).
Sonic Bloom: more of an experiment than a tool. It's a wireless piece of custom hardware, that listens to conversations, sends data to an LLM through fast STT and returns a color choice that matches the topic being discussed to the hardware, which then controls an LED ring. It also has a small display that explains the logic behind the color choice.
Image-to-story: a VLM tool that kickstarts a written story using an image and has some rudimentary tools to expand on it based on user instructions (wip).
At-work-or-not: and Android app/website where colleagues can check if I'm working from home, if I'll be at the office or if I'm not working at all. Also doubles as a private record for tracking transport expenses.
SharedMaps: a Maps based website where groups of people can share custom categories of geo locations and drop comments on them.
VMG: an image format that includes audio with images and offers TTS input to easily add narration.
Who wants Coffee: a small Android app to help me remember who wants to drink what when I go for a round at the office.
And a pile of Python scripts for smaller useful tasks.