🧠Mindmap of 🗺️Software Architecture, Software engineering: An Overview of Software Terminologies and Concepts.
A deterministic 0–100 hygiene score — README, license, CI, tests, docs, and freshness.
Who ships this repo — author concentration and the bus factor across the last 300 mainline commits.
How welcoming this repo is to contributors — issue throughput, close time, responsiveness, and good-first-issue count.
What this project is built on — dependency count by ecosystem, the license mix, and anything worth a legal look before you adopt it.
Whether this project's CI can be trusted — pass rate, run times, flaky runs, and which workflow is the weak link.
Grounded in software-architect-mindmap's README, structure, and recent commits — answers won't invent code they haven't seen.
A Monday email with what shipped, in plain English — no account needed.
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Add feature inventory documentation
Updated the architecture documentation prompt to generate a third file called `feature.md` that provides a complete, evidence-based inventory of all user-facing and operational features discovered from the codebase, including how users access each feature, source files, inputs/outputs, and limitations.
Added Korean paper summaries
Added three new Korean-language study note documents with summaries of key papers in core computer science, distributed systems, and NLP fields. Links to these new study notes were also added to the paper index to help readers quickly access summaries alongside the original papers.
A floor, not a guess: counts only commits whose author, co-author trailer, or message explicitly credits an AI tool (Claude, Copilot, Cursor, aider, Codex…). Based on 30 mainline commits. Unattributed AI code isn't counted here — the full audit estimates that separately.