i'm a software engineer based in the philippines, driven by curiosity and whatever i find interesting. i learn fast with the caveat of goldfish memory (which i call my context lol) and i'm usually self-motivated that i forget to eat.
this is not like other portfolios. feel free to have a look around and explore what makes me, me.
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@schmayterling
open githubrecruiter?
(follow the red line) →one question usually turns into three projects and too many open tabs.
i update this board whenever my attention changes, so it never settles into a final form.
my desktop is scattered screenshots, dozens of windows, half-finished checklists, and constant switching.
whatever feels urgent or interesting gets the whole pile.
i turned weeks of neuroscience papers into her memory system.
someone else is
on the other end.
i enjoy writing code.
if ai solves every problem,
what's left?the same circle, over and over.
i'm less interested in whether it's good.
diffusion models
atlas maps symbols, calls, tests, and history so developers and agents can ask structural questions about a repository.
weave gives long-running agents memory, state tracking, and retrieval that can be inspected.
892 commits. the personal AI agent i've been trying to build since 2023 is finally becoming something i'm proud of.
AI makes me faster. It also might be making me dumber. I'm figuring out where the line is.
tools 3k · prompt 1.5k · subsystem insight 902
mar–may 2026 · avery + fleet
tools 3k · prompt 1.5k · subsystem insight 902
on mar 29, context composition included tools, prompts, subsystem insight, memory, cognition, and conversation history.
what should an agent remember, what should it forget, and how can its internal story be checked against what the system actually did?
working memory and long-term memory sit apart from attention, consolidation, tools, and conversation history, while traces show how those parts affect each other.
i only want autonomy when permissions are explicit and every new access request explains why it needs them.