ArthurWolf at 23:09, 22 January 2026

2026-01-22T23:09:36Z

← Older revision		Revision as of 23:09, 22 January 2026
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	* LibreCode / FaikVM wiki: https://wiki.faikvm.com/mediawiki/index.php/Main_Page		* LibreCode / FaikVM wiki: https://wiki.faikvm.com/mediawiki/index.php/Main_Page
	* Public hosted annotator instance: https://linuxpmi.org/		* Public hosted annotator instance: https://linuxpmi.org/
	* Prompting guidelines/advice: ~~https://wiki.faikvm.com/mediawiki/index.php/~~Prompting-guidelines		* Prompting guidelines/advice: [[Prompting-guidelines]]

	Most student repositories are hosted under this GitHub organization:		Most student repositories are hosted under this GitHub organization:

ArthurWolf at 23:09, 22 January 2026

2026-01-22T23:09:03Z

← Older revision		Revision as of 23:09, 22 January 2026
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	* LibreCode / FaikVM wiki: https://wiki.faikvm.com/mediawiki/index.php/Main_Page		* LibreCode / FaikVM wiki: https://wiki.faikvm.com/mediawiki/index.php/Main_Page
	* Public hosted annotator instance: https://linuxpmi.org/		* Public hosted annotator instance: https://linuxpmi.org/
			* Prompting guidelines/advice: https://wiki.faikvm.com/mediawiki/index.php/Prompting-guidelines

	Most student repositories are hosted under this GitHub organization:		Most student repositories are hosted under this GitHub organization:

ArthurWolf: Initial page creation

2025-12-22T20:33:29Z

Initial page creation

New page

= Student Groups =

This page documents the University of Toronto Mississauga (UTM) student groups who contributed to the LibreCode / Annotator ecosystem between mid-2024 and late-2025, specifically around: converting asciinema terminal recordings into structured events, annotations, and derived documentation artifacts using LLMs.

== Project context ==

'''Mentors'''
* Julia Longtin — https://github.com/julialongtin
* Arthur Wolf — https://github.com/arthurwolf

'''Mentorship program'''
* Human Feedback Foundation (Linux Foundation entity): https://humanfeedback.io/
* University of Toronto Mississauga: https://www.utm.utoronto.ca/

'''Core LibreCode resources'''
* Annotator repository: https://github.com/arthurwolf/annotator
* LibreCode / FaikVM wiki: https://wiki.faikvm.com/mediawiki/index.php/Main_Page
* Public hosted annotator instance: https://linuxpmi.org/

Most student repositories are hosted under this GitHub organization:
https://github.com/CSC392-CSC492-Building-AI-ML-systems

----

== Fall 2024 – Early AutoDocs prototype ==

=== What they worked on ===
This group produced an early prototype of what later became ''AutoDocs'': tooling to segment asciinema terminal recordings into meaningful chunks and generate higher-level annotations.

This work served primarily as a proof of concept and a starting point for later cohorts.

=== Contributors ===
''(TODO: add names / GitHub links if identified)''

=== Code and artifacts ===
* Archived Fall 2024 code base (referenced in later repos):
** Mentioned in the AutoDocs README as '''“Fall 2024 Team’s Code Base”'''
** Linked from the AutoDocs repository:
*** https://github.com/CSC392-CSC492-Building-AI-ML-systems/educational-AI-agent

=== Notes ===
Later documentation notes that much of this code is outdated or non-functional, but it remains historically important.

----

== Winter 2025 – AutoDocs expansion + documentation ==

=== What they worked on ===
This cohort rebuilt and extended the AutoDocs pipeline into a more complete system and produced formal documentation of their work.

The repository includes a tagged release explicitly described as a rewrite of the project by the Winter 2025 team.
Release link: https://github.com/CSC392-CSC492-Building-AI-ML-systems/educational-AI-agent/releases/tag/winter-2025

=== Contributors ===
'''Known from the Winter 2025 release note and repository contributors list'''
* Brian Zhang — https://github.com/Pyosimros
* Vraj Patel — https://github.com/Vraj-Patel1
* Dan Nguyen — https://github.com/nuhgooyin
* Adreano La Rosa — ''(listed in release note; GitHub handle not yet confirmed)''

'''Additional contributors shown by GitHub'''
* Abdallah Enaya — https://github.com/abdullah-enaya
* Renee K — https://github.com/renee-k
* aml-8 — https://github.com/aml-8
* Christopher Flores — https://github.com/cfstar188
* Uyiosa Iyekekpolor — https://github.com/uyoyo0
* eyexjay — https://github.com/eyexjay

=== Code and artifacts ===
* Main AutoDocs repository:
** https://github.com/CSC392-CSC492-Building-AI-ML-systems/educational-AI-agent
* Release tag capturing the Winter 2025 state:
** https://github.com/CSC392-CSC492-Building-AI-ML-systems/educational-AI-agent/releases/tag/winter-2025
* Public talk page referencing this pipeline (AI Tinkerers Toronto, March 2025):
** https://toronto.aitinkerers.org/talks/rsvp_14QYpww1FyE

=== Notes ===
The current AutoDocs repository states that it was “modified and extended from the Winter 2025 team’s code base”.

----

== AutoDocs (consolidated / ongoing repository) ==

''This is a living repository spanning multiple student cohorts rather than a single group.''

=== Purpose ===
AutoDocs processes asciinema terminal recordings and produces structured outputs such as:
* segmented command ''events'',
* annotated explanations,
* derived artifacts (for example, Dockerfiles).

=== People ===
* Julia Longtin (lead contact): https://github.com/julialongtin
* Model publisher referenced in the README:
** '''bria7801''' on Hugging Face:
*** https://huggingface.co/bria7801/model-0
*** https://huggingface.co/bria7801/model-1
*** https://huggingface.co/bria7801/model-3

=== Repository ===
* https://github.com/CSC392-CSC492-Building-AI-ML-systems/educational-AI-agent

=== Contents (high level) ===
* ``data/``, ``frontend/``, ``models/`` directories
* Multiple parser scripts (Parser 0 / 1 / 2)
* References to fine-tuned model checkpoints via Hugging Face links

----

== Autumn 2025 – DocStream consolidation (Educational AI Agent) ==

This appears to be a later cohort or iteration that built on AutoDocs and re-framed the system as '''DocStream''' (same core idea: streamed asciinema logs → events → hierarchical annotations → documentation).
Repository: https://github.com/CSC392-CSC492-Building-AI-ML-systems/Autumn2025EducationalAIAgent

=== What they worked on ===
From the repository README, DocStream:
* converts raw, noisy terminal activity into structured, reproducible developer documentation,
* processes streamed asciinema logs,
* segments them into meaningful events,
* generates hierarchical annotations explaining terminal activity,
* includes an evaluation harness (based on an extended EleutherAI LM Evaluation Harness) with task and metric scaffolding under ``data/llm_Evaluation/``.

=== Code and artifacts ===
* Main repository:
** https://github.com/CSC392-CSC492-Building-AI-ML-systems/Autumn2025EducationalAIAgent
* Repository structure pointers:
** ``data/`` — datasets and evaluation harness inputs
** ``models/model_0/`` — segmentation training and inference
** ``models/model_1/`` — annotation training and inference
** ``demo/`` — front-end visualization demo
** ``runpod/`` — deployment and runpod materials
* White paper included in the repository root:
** https://github.com/CSC392-CSC492-Building-AI-ML-systems/Autumn2025EducationalAIAgent/blob/main/WhitePaper.docx
* Previous iteration explicitly linked from the DocStream README:
** https://github.com/CSC392-CSC492-Building-AI-ML-systems/educational-AI-agent

=== Models ===
* '''Model 0 — Event Segmentation'''
** Segments streamed terminal logs into XML-structured ''events''
* '''Model 1 — Hierarchical Annotation'''
** Reads Model 0 event chunks and generates summaries with hierarchical depth (goal / subtask structure)

=== Contributors ===
GitHub accounts appearing repeatedly in the commit history and likely core Autumn 2025 contributors:
* Ryan Pankratz — https://github.com/ryan-pankratz
** (also appears as: https://github.com/RyanPankratz)
* Victor Shea — https://github.com/VictorShea
* Moe Reda — https://github.com/Moe-Reda
* Patea4 — https://github.com/Patea4

Student Groups - Revision history

ArthurWolf at 23:09, 22 January 2026

ArthurWolf at 23:09, 22 January 2026

ArthurWolf: Initial page creation