Use vscode.openWith(uri, 'jupyter-notebook') for .ipynb files so they
render in VS Code's notebook editor with cell support, rather than
opening as raw JSON text via openTextDocument.
The VS Code extension no longer implements any business logic — every
capability (module discovery, path resolution, system info, builds,
tests, clean) lives in Tito CLI commands. The extension is a pure UI
shell that delegates via `python3 -m tito.main`.
Tito CLI additions:
- `module list --json` for machine-readable module discovery
- `module path <num> --notebook|--source|--about` for file resolution
- `system info --json` for environment info
- `dev build html|serve|pdf|paper` wrapping make targets
- `dev clean [all|site]` wrapping make clean
- Banner suppression for --json and module path output
Extension hardening:
- Centralized CLI integration in utils/tito.ts (single TITO_CMD constant,
callTito, callTitoJson, titoTerminalCommand, isTitoAvailable, log/logError)
- Replaced all silent catch{} blocks with logged errors and user feedback
- Module tree shows error/empty states with actionable Setup/Health buttons
- Info tree shows "Tito CLI unavailable" when CLI is unreachable
- Removed all setTimeout refresh hacks — file watcher on .tito/progress.json
is the sole refresh mechanism
- Exit code tracking via onDidEndTerminalShellExecution
- Tito availability pre-flight check on activation
- BUILD_OUTPUTS constants for build artifact paths
- Zero execSync calls outside tito.ts, zero hardcoded command strings
Display version number and release date (e.g., "v0.1.8 · Feb 7, 2026")
next to the "Under Construction" badge in the top nav bar. Version and
date are declared as top-of-file constants in wip-banner.js for easy
CI sed updates. Publish workflow now bumps 6 files instead of 5.
Add the TinyTorch VS Code extension source package and align module code/docs references so APIs, milestones, and progression notes remain consistent across the curriculum.
Audit and fix consistency issues across all module source files:
- Standardize ML Systems header to "ML Systems Reflection Questions" (01, 13)
- Fix section ordering: test_module before ML Systems in modules 16, 17
- Rename demo_spatial() to demo_convolutions() to match module name (09)
- Rename demo_*_with_profiler() to explore_*_with_profiler() (15, 16, 17)
- Fix test naming to use test_unit_* prefix consistently (03, 05, 11, 12)
- Add missing emojis in test_module/demo patterns (02, 15)
- Standardize tito command format to number-only (01, 03, 06, 07, 18)
- Fix implementation headers: hyphen to colon separator (09, 12)
- Add missing "Where This Code Lives" package section (13)
- Fix export command in module summary (05, 06)
Three categories of changes across 17 modules:
1. Function decomposition (Modules 01,03,05-15,18-19): Break large
monolithic functions into focused _helper + orchestrator pattern.
Each helper teaches one concept with its own unit test.
2. Naming convention fixes (Modules 08,09,11,18,19): Ensure underscore
convention is consistent — standalone _func in export cells renamed
to func (public API), monkey-patched method names match target
visibility, removed unnecessary #| export from internal helpers.
3. Progressive disclosure (Modules 02-05,08,11-15): Remove forward
references to future modules. Replace "you'll learn in Module N"
with concrete descriptions. Trim connection maps to only show
current and prior modules. Keep end-of-module "Next" teasers
as motivational breadcrumbs.
All 17 modified modules pass their test suites.
Add new subsection describing function decomposition pattern used within
modules. Documents how complex operations (attention, convolution, training)
are split into focused helper functions with individual unit tests before
composition into exported functions. Updates pedagogical justification to
cover both inter-module and intra-module progressive disclosure.
Documentation examples were computed using UINT8 (0-255) zero-point
formula but the code implements signed INT8 (-128 to 127). Fixed all
hardcoded diagram values and docstring examples to match the actual
code output. The code logic was always correct; only the documentation
numbers were wrong.
Fixes: zero-point 88 -> -39, 64 -> -64, 42 -> -43
Fixes: quantized result [-128, 12, 127] -> [-128, -27, 127]
Fixes: dequantize docstring example with correct parameters
Ref: https://github.com/harvard-edge/cs249r_book/issues/1150
Polish the contributor's Windows fix with proper comments explaining
the Microsoft Store alias issue and WinError 32 file lock. Move
is_windows check closer to usage site for clarity.
- Prefer python over python3 in Git Bash to avoid Microsoft Store alias and incorrect venv paths
- Skip TinyTorch self-reinstall on Windows if already installed (prevents WinError 32 file lock)
Add generate_team.py script that reads .all-contributorsrc and generates
the team.md page automatically. This keeps the website team page in sync
with the README contributors.
- Add tinytorch/site/scripts/generate_team.py
- Update both deploy workflows to run the script before building
- Contributors added via @all-contributors now appear on the website
The script runs during site build, so team.md stays fresh with each deploy.
The formula sqrt(1/fan_in) is actually LeCun initialization (1998),
not Xavier/Glorot. True Xavier uses sqrt(2/(fan_in+fan_out)).
- Rename XAVIER_SCALE_FACTOR → INIT_SCALE_FACTOR
- Update all comments to say "LeCun-style initialization"
- Add note explaining difference between LeCun, Xavier, and He init
- Keep the simpler formula for pedagogical clarity
Fixes#1161
AndreaMattiaGaravagn (truncated) and AndreaMattiaGaravagno were listed
as separate contributors. Merged into a single entry with the correct
username, avatar, and combined contributions (code + doc).
Students hit "No module named 'tinytorch.core.tensor'" in notebooks because
the Jupyter kernel used a different Python than where tinytorch was installed.
- setup: install ipykernel + nbdev, register named kernel during tito setup
- health: add Notebook Readiness checks (import, kernel, Python match)
- export: verify exported file exists and has content (fail loudly)
- Windows: add get_venv_bin_dir() helper for cross-platform venv paths
On PR events, github.ref_name resolves to the merge ref (e.g.
"1159/merge") which doesn't exist on raw.githubusercontent.com,
causing a 404. Use github.head_ref (the actual source branch)
for PRs, falling back to ref_name for push events.
Also adds -f flag to curl so HTTP errors fail immediately with
a clear message instead of silently saving the 404 HTML page.
Escape unescaped & characters in references.bib (Taylor & Francis,
AI & Machine-Learning) and replace Unicode em-dashes (U+2014) with
LaTeX --- ligatures in paper.tex for T1 font compatibility.
The fresh install test script used / as the sed delimiter when
substituting the branch name, which breaks on any branch containing /
(e.g. feature/foo, fix/bar, or GitHub merge refs like 1156/merge).
Show the exact definition, tanh approximation, and sigmoid approximation
side by side so students understand where 1.702 comes from and why we
chose the sigmoid form. Avoids erf notation in favor of plain-language
description of Φ(x) appropriate for Module 2 students.
Related to harvard-edge/cs249r_book#1154
The hint claimed 1.702 comes from √(2/π) ≈ 0.798, which is incorrect.
The 1.702 constant is empirically fitted so that sigmoid(1.702x) ≈ Φ(x),
the Gaussian CDF. The √(2/π) constant appears in the separate tanh-based
GELU approximation, not the sigmoid approximation used here.
Fixesharvard-edge/cs249r_book#1154
- Clarify that attention time complexity is O(n²×d), not O(n²), since each
of the n² query-key pairs requires a d-dimensional dot product
- Fix Total Memory column in analyze_attention_memory_overhead() which was
duplicating the Optimizer column instead of summing all components
- Update KEY INSIGHT multiplier from 4x to 7x to match corrected total
Fixesharvard-edge/cs249r_book#1150
- Add new Team page featuring core staff and contributors
- Vijay Janapa Reddi (Nerdy Professor), Andrea Garavagno (Tech Lead),
Kari Janapareddi (Chief of Staff), Kai Kleinbard (Web Wizard)
- Display community staff side-by-side with fun role titles
- Move Acknowledgments to separate page for MiniTorch/micrograd credits
- Add contributor generator script for future automation
- Update navigation: Team → Ecosystem → Acknowledgments
Replace the slide download card with an inline PDF viewer using PDF.js:
- Change grid layout from 4 cards (2x2) to 3 cards in a row
- Add embedded slide viewer with navigation, zoom, and fullscreen
- Load slides from local _static/slides/ for reliable CORS handling
- Add "· AI-generated" subtitle to match audio card pattern
- Use 🔥 icon consistently across all viewers
Affected: 20 module ABOUT.md files + big-picture.md
