mlc-ai / agentic-gpu-programming-for-mlsys

# Agentic GPU Programming for MLSys
A book on the components of agentic GPU programming, their implementation in
TIRx Harness, and their use in a kernel optimization task. General concepts
appear in Part I, the concrete system in Part II, and worked examples in Part
III. Grouped GEMM supplies the workflow tutorial; recorded Kimi Delta
Attention runs supply the diagnostic and review cases.
## Build and preview
This is a static Sphinx / MyST book, using the same `sphinx-book-theme` as
Modern GPU Programming for MLSys.
Python 3.11+ is sufficient. Building the website does **not** require a GPU,
TVM, Rust, Node.js, or either the agent or kernels checkout.
Clone this standalone book and run from its root:
 [code] 
Open . `make serve` builds first and then serves on
loopback; stop it with Ctrl+C. After editing Markdown, run `make html` in a
second terminal and refresh the browser. Search, theme switching, navigation,
fonts, equations, and code copying use bundled assets; no CDN is required for
reading.
To change the port or listen on your LAN explicitly:
 [code] 
For a remote development machine, forward the port:
 [code] 
Without Make (including Windows), use your virtual environment's Python:
 [code] 
The deployable output is `_build/html/`. Any static HTTP server can serve it,
including under a URL subdirectory. No application backend is needed.
## Editing
- `index.md` owns chapter order through standard Sphinx toctrees.
- Part I, Elements of Agentic GPU Programming, is `chapters/overview.md`,
 `analysis.md`, `knowledge.md`, `benchmarking.md`, and `agent-workflows.md`.
 These introduce the compiler harness components and the workflows that
 compose with them, motivated by kernel development problems and explained
 with local examples.
- Part II introduces TIRx Harness, its compiler foundation, and KCoral.
 Part III retains the workflow, diagnostic, benchmark, review, and tips
 cases for continued editing.
- `_static/diagrams/` contains checked-in HTML figures. They share
 `diagrams.css` and `diagrams.js`, work as standalone pages, and are embedded
 with iframes. Embedded figures follow the book's theme and resize to their
 contents. Edit HTML directly; no generation step is required.
- `conf.py` owns the theme settings and repository source-link templates.
- `chapters/launching-the-agent.md` opens Part III with environment preparation,
 launcher tabs, and result inspection for M-grouped contiguous FP8 GEMM.
 The harness task setup and benchmark entry points prepare and evaluate the run.
 `chapters/self-improvement.md`
 covers review and harness improvement. `chapters/advanced-tips.md` closes
 the book with practices for a long search.
- `_static/book-tabs.js` handles the launcher tabs using the book's normal
 Markdown, syntax highlighting, and code-copy controls.
- `_static/book.css` contains the small visual adjustments to the book theme.
- `_static/mathjax/` bundles MathJax for inline `$...$` and display `$$...$$`
 equations; its `README.txt` reco