rhgraysonii (u/rhgraysonii)

rhgraysonii commented on alpr.watch alpr.watch/... · Posted by u/theamk

Is the site open source?

I see some issues in the map display I would like to fix.

rhgraysonii commented on Deciduous: Better programming with LLMs using a living memory and decision graph notactuallytreyanastasio.... · Posted by u/rhgraysonii

kevinsync · 3 days ago

Looks very intriguing!

My main question after looking it over though is: given an existing codebase, how could I go about building a decision graph to essentially get "caught up" to current (I guess based on commit history?) to then move forward actively using Deciduous from here on out?

rhgraysonii · 3 days ago

The value is in the in the moment weights and decision making so it builds it in a living fashion as it sits now.

It wouldn’t be hard to make a skill that went through and did this at a basic level if you have a good healthy and well organized git history (most people don’t)

There is already tooling to link commits to nodes and re author chains so you could tell it to explore and start making this.

I might do an experiment trying this with an existing project in the OSS ecosystem tonight, sounds fun

rhgraysonii commented on Deciduous: Better programming with LLMs using a living memory and decision graph notactuallytreyanastasio.... · Posted by u/rhgraysonii

rhgraysonii · 3 days ago

Deciduous is built using itself. It tells the story of that here

http://notactuallytreyanastasio.github.io/deciduous/story.ht...

There is also a living graph of the entire development lifecycle thus far here

http://notactuallytreyanastasio.github.io/deciduous/demo/

I began the project 12 days ago, so this is all very fresh. I extracted it from another tool I built after building it to help me build that tool.

rhgraysonii commented on Ask HN: What Are You Working On? (December 2025) · Posted by u/david927

kubakomu · 4 days ago

Really interesting to see, because about 2 months ago I had a very similar idea, just with a bit more opinionated shape of the graph and context building, but more focused on the research and decision-making part. I started the development, but my focus eventually landed on a completely different aspect of that system.

So I have to ask, how well do you see it performing so far with regard to actually sticking to the data present in the system? Do you find the AI agents to adhere properly to the existing data?

On a similar note, can the "consensus" of the system be adjusted in a way where we keep the knowledge which was true at time T (decision provenance), but we avoid having that bit of information affect current decision making?

rhgraysonii · 3 days ago

It's doing a great job. It has built itself with itself, the story is here

http://notactuallytreyanastasio.github.io/deciduous/story.ht...

the time-relevant stuff is all well beyond anything it does. It keeps confidence weights and decision paths and can analyze those.

I've also been using it at work with pretty great success.

rhgraysonii commented on Ask HN: What Are You Working On? (December 2025) · Posted by u/david927

rhgraysonii · 4 days ago

Deciduous.

It's a way of working/tools for working with an LLM that allow you to track decision tree graphs, have the robot make more informed decisions and build its own logical chain for history keeping, and modeling all the work as a DAG of events, goals, outcomes, decisions, and observations that network together to allow you to work better/smarter/faster, giving it a living and recorded memory and ways to explore all this.

It's easiest to check out the short demo on the site.

It also links to the live graph of how the tool has built itself.

http://notactuallytreyanastasio.github.io/deciduous/

rhgraysonii commented on Deciduous: A tool to work better LLMs using a decisions DAG and insight querying notactuallytreyanastasio.... · Posted by u/rhgraysonii

rhgraysonii · 6 days ago

I made this while making another utility as an experiment.

tl;dr: browse all the choices/logical flows an LLM made. Come back from compaction better. Ask questions about the why of some code and get better insights to work with and around it. Also: really great PR review cycles enabled by having the graph around.

The site goes a bit into the how and why.

If you want to see the live graph of how deciduous made choices while building itself, check out this link

https://notactuallytreyanastasio.github.io/deciduous/demo/

For examples of some code and PRs deciduous wrote up, check out

https://github.com/notactuallytreyanastasio/deciduous/pulls?...

Feedback has been good has quality of work solid using it with my coworkers so far. Would love to hear more thoughts.

I've been working on this maybe 3 days. There are/will be more bugs.

rhgraysonii commented on TSA to charge $18 fee for travelers without Real ID or passport washingtonpost.com/travel... · Posted by u/bookofjoe

rahimnathwani · a month ago

  The majority of travelers are ID-compliant — around 94 percent, according to the TSA.

It seems crazy to me that 6% of travelers are going to the airport without ID. (I presume that accompanied minors who aren't required to show ID are included in the 94%)

rhgraysonii · a month ago

I have done at least 20 flights with no ID. Long story. But yeah this would be clutch for dumbasses like me.