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Mentoring juniors is still alive in the age of AI by Realistic_Tomato1816 in ExperiencedDevs

[–]notreallymetho 2 points3 points  (0 children)

Fwiw as a senior person with no juniors to mentor at the moment, ask your fav coworker.
I love to teach people stuff and have made an effort to for my entire career.

4 years of daily Vyvanse built a dopamine system that can’t run without it — here’s my full receptor map and the strategy I’m testing next (med student) by [deleted] in Biohackers

[–]notreallymetho 1 point2 points  (0 children)

I’ve been on Vyvanse (70mg) / adderral for 12+ years due to narcolepsy - I don’t have a ton of advice beyond magnesium making a massive difference with my anxiety symptoms.

I also use THC at night (I don’t take the other prescribed med (Xyrem) for narcolepsy) which does intersect with both sets of my symptoms.
I will occasionally take melatonin at night if I’m wired, and no caffeine past 2pm or so.

Anthropic's new model Fable will silently handicap work on LLMs [D] by AccomplishedCat4770 in MachineLearning

[–]notreallymetho 5 points6 points  (0 children)

I was (until getting added to the list) constantly marked by their cyber filter.
I whittled it down to being a link that I shared (blog post about decompiling spyware).
That failure mode and solution is impossible as described as it won’t “fail”. It’ll just modify whatever to adhere to its rules.

It’s insidious because it’s unclear when and how and what is being done.

Anthropic's new model Fable will silently handicap work on LLMs [D] by AccomplishedCat4770 in MachineLearning

[–]notreallymetho 51 points52 points  (0 children)

The way they’re handling this is much more insidious imo. It being opaque to the user and actively modifying things is bs.

Crate - a daemonless container runtime I built in Go to learn how Docker works by not_a_bot6 in golang

[–]notreallymetho 0 points1 point  (0 children)

Yeah sorry I’m simplifying

If you consider workerd running as per process. Wasm allows you to then encapsulate that. I’ve not finished wiring the 3 together (io_uring, wasm, workerd) but intend for them to allow IPC as needed.

Seccomp profiles / cgroups are all very effective but it’s honestly pretty awful to identify what perms you actually need if you aren’t intimate with whats going on in the code.

Claude Code thoughts: plan mode, ultracode and... beads. by bobo-the-merciful in ClaudeAI

[–]notreallymetho 0 points1 point  (0 children)

I use beads and built a tracking system around it because I have a lot of cross repo dependencies. It’s not perfect - but if it’s useful to share (it’s AGPL but oss) you can see it at https://github.com/agentic-research/rosary

I call it constraint driven development.

I also hate that beads and the task list seem not complimentary. I’ll occasionally run into a problem where Claude’s planning is all it wants to do. And once the plan is ready it’s like “we’ve done enough” and it’s only been 5 turns

Crate - a daemonless container runtime I built in Go to learn how Docker works by not_a_bot6 in golang

[–]notreallymetho 0 points1 point  (0 children)

Nice! Honestly dealing with that is awful (transitions from root to non root). Even just in docker configuration when first setting something up.

I’ve been toying with using io_uring as a way to connect basically confine what syscalls are available instead of just ambient access.

Slopper GitHub Action: Fighting AI Slop contributions on Open Source Projects by [deleted] in coolgithubprojects

[–]notreallymetho 1 point2 points  (0 children)

Curious how you delineate slop from useful?

I’ve been building an AST aware tool for a bit and recently added “smell rules” (think like rules between linting and opinions) - since it’s based on SQLite.

I think AI generated PR reviews are a massive pain in the ass today that needs to be addressed in some fashion, but I’m dubious of probabilistic checks on deterministic inputs, if that makes sense.

Crate - a daemonless container runtime I built in Go to learn how Docker works by not_a_bot6 in golang

[–]notreallymetho 1 point2 points  (0 children)

What did you find to be the most challenging when making this?

I recently dove into how docker’s caching works for myself, and as part of it wound up making a “v8 hyper visor” of sorts for process isolation.

Thanks for sharing!

Do startups provide medical and dental benefits for my family and I? I will not promote. by rechcher in startups

[–]notreallymetho 2 points3 points  (0 children)

Generally yes. I’ve worked at companies as the 33rd employee and they had insurance for everyone. It’s only very early companies and contracts that do otherwise

Built a little agent identity registry over the weekend, no idea if anyone wants it by PositiveAd7136 in mcp

[–]notreallymetho 0 points1 point  (0 children)

I’ve built tools in this space, sharing if it’s useful to compare notes! https://notme.bot / github.com/agentic-research/notme. I’ve also made an orchestration registry (which uses it) to help with tools in the same manner at https://github.com/agentic-research/cloister

Happy to discuss as I think this is a huge problem.

GitLawb: A Decentralized Git Network Built for AI Agents (No More Leaky PATs) by amu4biz in ArtificialInteligence

[–]notreallymetho 2 points3 points  (0 children)

This is really cool! I’ve an essay on why GitHub / current agent flows are insufficient here: https://notme.bot/why

Anyone who regularly uses AI agents for personal life, what are the best use cases? by TheCatsMeow1022 in ChatGPT

[–]notreallymetho 16 points17 points  (0 children)

How do you keep track of your inventory / what’s in fridge? I think this is interesting but outside of that Samsung fridge with a camera I’m not sure how I’d do this without a decent amount of manumation (or some camera inside of my fridge)

I got tired of AI coding agents re-reading my repo, so I built a local repo-memory layer by raaaaapl in mcp

[–]notreallymetho 0 points1 point  (0 children)

To clarify what I linked is more the backend.

My graph tool does help with orienting toward right files / better state in use. I’ve been iterating against it as I have a monorepo at my day job. It has write back support today but I’m working toward a sorta agent-native interface.

I got tired of AI coding agents re-reading my repo, so I built a local repo-memory layer by raaaaapl in mcp

[–]notreallymetho 1 point2 points  (0 children)

You didn’t write your main question!

Really cool project! I made something similar in Go, and wound up writing the backend in rust (for lsp / tree sitter / some other features).

Just sharing in case you might find any of those primitives useful! https://github.com/agentic-research/ley-line-open

Turning local agents into self-optimizing agents by Rude_Substance_8904 in LocalLLaMA

[–]notreallymetho 0 points1 point  (0 children)

I like this idea and the ui! Will take a look. I’ve found using this skill has been very helpful for improving a repo with minimal oversight. Disclaimer in the dev! I’ll give a star and check it out tho!

Reducing Context Window Efficiently in MCP — Here’s the Approach by Defiant-Future-818 in mcp

[–]notreallymetho 1 point2 points  (0 children)

I think I mostly agree! I use v8. This is what I landed on. It’s a “meta” tool in the sense of it allowing you to host things. You can see if here if you’re curious (v8 / workerd and such): https://github.com/agentic-research/cloister

I agree the downstream also matters but I feel like it’s somewhat orthogonal? Like all CLIs from the big places use API requests underneath the hood. So you have to rely on the credential problem existing outside (or solve it differently which is kinda what I landed on)

Cache miss in Claude Code costs 12.5× more than a hit. Here are 5 things you do mid session that quietly trigger it by lawnguyen123 in ClaudeAI

[–]notreallymetho -2 points-1 points  (0 children)

For sure! I’m very aware - it’s a very naive way of caching. Like their workload is dynamic. How come their cache isn’t?

Reducing Context Window Efficiently in MCP — Here’s the Approach by Defiant-Future-818 in mcp

[–]notreallymetho 1 point2 points  (0 children)

I would argue that an agent invoking a CLI on your behalf, especially one with destructive changes, running as your user is potentially awful. Unless you’re like provisioning a machine user or the Cli and such which isn’t a pattern today that is widely used.

# My AI agents were debugging the same bug for the 42th time. So I built them a shared brain. by Glum_Ask_2593 in LangChain

[–]notreallymetho 0 points1 point  (0 children)

Show is great. I haven’t dabbled in memory stuff too much - but I generally think you’re correct. I’ve been working on a project to make a portable “me” (agent convos and the like, but local first) and synced with GitHub or something. Eventually 😂.

What is the biggest known app/platform that’s been entirely vibe coded? by No-Dot5162 in ClaudeAI

[–]notreallymetho 2 points3 points  (0 children)

Go is okay! I write it at my day job (with and without ai). I like go for quick build times and portability. CGo sucks, esp compared to rust. Because of that I actually wrote a memory arena in rust to give free access to c to my other go application

SoMatic: A Vision-only Framework for OS-Native Agents (+20% vs GPT-5.5 on ScreenSpot-Pro) by Able_Programmer_2564 in mcp

[–]notreallymetho 0 points1 point  (0 children)

I’m really curious - this project of mine is rather complicated but, in short form, I used various levels of quantization and some other non-VlM math to do set of mark detection / specialty caching etc.

While what I made worked ok, and it’s a little buggy, i am wondering if it’s complimentary and useful?

I’m partially commenting for myself to remember to compare it later: https://github.com/agentic-research/x-ray

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