AI Engineering Talks — Classified & Distilled

English · 繁體中文

A systematic read-through of 100 conference and YouTube talk notes on AI engineering, sorted into 9 thematic categories and distilled into short, skimmable key-point summaries — plus 9 cross-cutting insights drawn from the entire corpus.

The published page is a single, self-contained index.html — no server, no external dependencies, just open it in a browser. That file is now generated from small, composable sources under src/ by a tiny build script (build.mjs), so you edit focused partials instead of one 44k-line monolith. CSS and JS are inlined at build time, keeping the output dependency-free.

The site ships in English and Traditional Chinese. A language toggle (EN | 中文) sits just above the View source on GitHub button; the first visit follows your browser's language (any zh* preference → Chinese, otherwise English) and your choice is remembered. The build emits two self-contained pages — index.html (English) and index.zh.html (Traditional Chinese) — and the toggle switches between them while preserving your place on the page.

Highlights

• 100 talks distilled into short key-point summaries.
• 9 thematic categories (A–I) with a category-distribution overview.
• 9 cross-cutting insights synthesized across all talks.
• Dual evidence for every summary:
  • Click a talk title (or the 📄 Full notes button) to expand the complete original notes, embedded directly in the page.
  • Follow ▶ Source video back to the original YouTube talk.
• Personal notes — inside a talk's full notes, select a sentence (or, on a phone, tap a sentence — tap again to extend across more sentences) and choose ★ Save as note to highlight it. Saved notes are collected in a Your Notes section grouped by talk and persist in your browser.
• Fully self-contained output — all notes are rendered and embedded, so the published index.html depends on no external files or network connection.
• Composable sources — the page is built from small partials (src/), so it's easy to edit and extend without touching a giant single file.

Categories

#	Category	Talks
A	BI / Analytics / Semantic Layer	11
B	Agent Evaluation & Observability	15
C	Agent Architecture, Reliability & Productionization	12
D	Agent Security & Identity	6
E	Context / Memory / RAG	11
F	Data Infrastructure	14
G	Model Training & Inference	15
H	AI Coding & AI-Native Engineering	9
I	Product Strategy & Business	6

Each talk is assigned a single primary theme.

Cross-cutting insights

1. The semantic layer is being redefined — sinking from BI tools down into "context that agents consume."
2. The key to reliable text-to-SQL is grounding and data modeling, not a bigger model.
3. Evals move from "gut feel" to data-driven engineering.
4. From PoC to production: reliability is systems engineering, not a model problem.
5. Context engineering and memory decide whether an agent uses the right data.
6. Data infrastructure is being reshaped for AI / agents.
7. Security and identity are prerequisites for agents to access enterprise data.
8. The future of BI and the product data flywheel.
9. Small, specialized models / agents beat big and general-purpose ones.

Usage

Open the published page in any modern browser:

# macOS
open index.html

# Linux
xdg-open index.html

# or serve it locally
python3 -m http.server
# then visit http://localhost:8000

Project structure

index.html        # generated English page, self-contained (commit it)
index.zh.html     # generated Traditional Chinese page (commit it)
build.mjs         # renders src/* into both pages (inlines CSS + JS)
package.json      # `npm run build`
tools/            # i18n-check.mjs — dev-only structure checker (not shipped)
src/
  head.html       # document head (minus styles)
  styles.css      # all page styles
  partials/       # hero, nav, footer, lang-toggle
  sections/       # overview.html, themes.html; cat-*.md (English card text + color/docs)
  notes/          # shell.html + doc-*.md (English notes) + order.json
  scripts/        # modal, reading-progress, notes, nav-scrollspy, lang
  i18n/zh/        # Traditional Chinese content (notes/*.md, sections/cat-*.md, HTML mirrors)

All talk notes and category cards are authored in Markdown and rendered into language-agnostic HTML; see src/README.md for the full layout and CONTRIBUTING.md for how to add or translate one.

Development

index.html is a build artifact — edit the files under src/ instead, then regenerate:

npm run build   # or: node build.mjs

The build only concatenates, inlines, and renders (no dependencies to install), and the result is reproducible. Requires Node.js. One run emits both index.html and index.zh.html.

All content is Markdown. Talk notes (notes/doc-*.md) and category cards (sections/cat-*.md) are authored as Markdown / flat text and rendered into language-agnostic HTML — English under src/, each translation under src/i18n/<locale>/. Untranslated pieces fall back to English. After building, run node tools/i18n-check.mjs to verify the two pages stay structurally identical.

Contributing

Contributions — new talks, corrections, and translations — are welcome. All content is authored in Markdown, and one build renders both language pages from it. See CONTRIBUTING.md (繁體中文) for the content model, the Markdown formats, how to add a talk, and how to add or improve a translation.

Method & evidence

• Data source: all 100 Markdown talk notes, fully rendered and embedded in the built page (no dependency on external .md files).
• Dual grounding: every summary links to both the full original notes (expandable in-page) and the source YouTube video.
• Classification: a single primary theme per talk across the 9 categories (A–I); every insight is drawn from the full corpus.

License

Released under the MIT License. © 2026 cyyeh.