### Quick Start Workflow

Source: https://github.com/harvard-edge/cs249r_book/blob/dev/book/docs/DEVELOPMENT.md

Standard commands for initial setup, daily development, and chapter-specific tasks.

```bash
# First time setup
./binder setup              # Configure environment and tools

# Daily workflow (most common commands)
./binder clean              # Clean build artifacts
./binder build              # Build HTML (complete book)
./binder doctor             # Health check

# Preview & development
./binder preview intro      # Preview a chapter with live reload
./binder build intro        # Build specific chapter
```

--------------------------------

### Setup Development Environment

Source: https://github.com/harvard-edge/cs249r_book/blob/dev/tinytorch/CONTRIBUTING.md

Commands to clone the repository, create a virtual environment, and install dependencies in editable mode.

```bash
git clone https://github.com/harvard-edge/cs249r_book.git
cd cs249r_book/tinytorch
python3 -m venv .venv
source .venv/bin/activate  # On Windows: .venv\Scripts\activate
pip install -r requirements.txt
pip install -e ./
```

--------------------------------

### Clone and Setup StaffML

Source: https://github.com/harvard-edge/cs249r_book/blob/dev/interviews/CONTRIBUTING.md

Steps to clone the repository, set up the development environment, and install the vault-cli.

```bash
# 1. Clone and pick the staffml worktree
git clone https://github.com/harvard-edge/cs249r_book.git
cd cs249r_book/interviews

# 2. Install vault-cli (Python 3.12+)
pip install -e vault-cli/[dev]
vault --version
pytest vault-cli/tests/
```

--------------------------------

### Initialize Development Environment

Source: https://github.com/harvard-edge/cs249r_book/blob/dev/book/docs/CONTRIBUTING.md

Run the one-time setup command to install pre-commit hooks and verify tooling.

```bash
./book/binder setup
```

--------------------------------

### Clone TinyTorch Repository and Setup Environment

Source: https://github.com/harvard-edge/cs249r_book/blob/dev/tinytorch/quarto/community/about.html

Clone the TinyTorch book repository and run the setup command to install dependencies, create a user profile, and initialize your workspace. You will be prompted to log in to the TinyTorch community.

```bash
$ git clone https://github.com/harvard-edge/cs249r_book.git
$ cd TinyTorch
$ tito setup
```

--------------------------------

### Clone Repository and Setup Environment

Source: https://github.com/harvard-edge/cs249r_book/blob/dev/mlperf-edu/examples/GETTING_STARTED.md

Clone the MLPerf EDU repository, create a virtual environment, and install the package.

```bash
git clone https://github.com/harvard-edge/mlperf-edu.git
cd mlperf-edu

python3 -m venv .venv
source .venv/bin/activate
pip install -e .
```

--------------------------------

### Cross-Reference Generation Setup

Source: https://github.com/harvard-edge/cs249r_book/blob/dev/book/tools/dependencies/README.md

Installs the full set of dependencies required for ML tools and then runs the cross-reference generation script.

```bash
# Use full dependencies for ML tools
pip install -r tools/dependencies/requirements.txt
python tools/scripts/cross_refs/cross_refs.py
```

--------------------------------

### Install and Install Pre-commit Hooks

Source: https://github.com/harvard-edge/cs249r_book/blob/dev/CONTRIBUTING.md

Install the pre-commit tool and set up the repository's pre-commit hooks. This should be done once per clone to ensure code quality checks are performed before commits.

```bash
pip install pre-commit
pre-commit install
```

--------------------------------

### Install via pip fallback

Source: https://github.com/harvard-edge/cs249r_book/blob/dev/mlperf-edu/INSTALL.md

Standard virtual environment installation using pip.

```bash
cd mlperf-edu
python3 -m venv .venv
. .venv/bin/activate
python -m pip install --upgrade pip
python -m pip install -e ".[dev]"
mlperf doctor
```

--------------------------------

### Local Worker Development Setup

Source: https://github.com/harvard-edge/cs249r_book/blob/dev/interviews/staffml/worker/README.md

Install dependencies and start a local development server for your worker. Use curl in another terminal to test API endpoints.

```bash
npm install
wrangler dev
# in another terminal:
curl -X POST http://localhost:8787/ask \
  -H "Content-Type: application/json" \
  -d '{"question": "what is the latency budget?", "context": "DLRM-style recommender, 50 sparse lookups per request"}'
```

--------------------------------

### Binder CLI Quick Start Commands

Source: https://github.com/harvard-edge/cs249r_book/blob/dev/book/docs/BINDER.md

Common commands for setting up, building, previewing, and checking the project repository.

```bash
# First time setup (from repository root)
./book/binder setup
./book/binder doctor

# Build & preview — primary author commands (see BUILD.md)
./book/binder build html --vol1 vol1/training
./book/binder preview vol1/introduction

# Checks — usually pre-commit only; run locally when debugging a failed hook
./book/binder check cli
./book/binder check all --vol1
./book/binder check refs --path book/quarto/contents/vol1/introduction/introduction.qmd

# Fixes — maintenance / repair (rare in daily chapter work)
./book/binder fix repo-health
./book/binder fix headers add --vol1 --dry-run

# Live command reference
./book/binder help
./book/binder check refs help    # per-group scopes and error codes
```

--------------------------------

### Install Pre-commit Git Hooks

Source: https://github.com/harvard-edge/cs249r_book/blob/dev/book/tools/scripts/docs/README.md

Install the pre-commit framework and its associated git hooks. This setup automates code quality checks before each commit.

```bash
pip install -r requirements.txt
```

```bash
pre-commit install
```

--------------------------------

### Configure environment and get help

Source: https://github.com/harvard-edge/cs249r_book/blob/dev/book/docs/DEVELOPMENT.md

Commands to initialize the development environment and display project overview information.

```bash
# Run setup
./binder setup

# Get welcome and overview
./binder hello
```

--------------------------------

### Set Up Development Environment

Source: https://github.com/harvard-edge/cs249r_book/blob/dev/book/docs/BUILD.md

Initializes the development environment, including setting up necessary tools and configurations.

```bash
./binder setup
```

--------------------------------

### Build the site locally

Source: https://github.com/harvard-edge/cs249r_book/blob/dev/instructors/README.md

Commands to navigate to the directory and start the local development server using Quarto.

```bash
cd instructors/
quarto preview
```

--------------------------------

### Initialize Compression Environment

Source: https://github.com/harvard-edge/cs249r_book/blob/dev/mlsysim/tutorial/exercises.md

Sets up the required hardware, model, and compression solver instances.

```python
from mlsysim import Engine, Hardware, Models
from mlsysim.solvers import CompressionModel

compress = CompressionModel()
model    = Models.Language.Llama3_8B
hw       = Hardware.Cloud.H100
```

--------------------------------

### Development Setup Commands

Source: https://github.com/harvard-edge/cs249r_book/blob/dev/book/docs/DEVELOPMENT.md

Commands to initialize the development environment and run tests.

```bash
make setup-hooks && make install
```

```bash
make test && make build-all
```

--------------------------------

### Initialize ServingModel and Hardware

Source: https://github.com/harvard-edge/cs249r_book/blob/dev/mlsysim/tutorial/exercises.md

Sets up the simulation environment with the Llama3-8B model and H100 hardware.

```python
from mlsysim import Hardware, Models
from mlsysim.solvers import ServingModel

serving = ServingModel()
model   = Models.Language.Llama3_8B
hw      = Hardware.Cloud.H100
```

--------------------------------

### Local Worker Development Setup

Source: https://github.com/harvard-edge/cs249r_book/blob/dev/socratiq/README.md

Steps to set up local development for Cloudflare Workers. Ensure `USE_LOCAL_WORKERS` is set to `true` in `env_configs.js` before starting the widget dev server.

```bash
# 1. Start the Cloudflare Worker locally (in cloudflare/proxy-worker/)
wrangler dev

# 2. Set USE_LOCAL_WORKERS = true in env_configs.js

# 3. Start the widget dev server
npm run dev
```

--------------------------------

### Analytics Summary Response

Source: https://github.com/harvard-edge/cs249r_book/blob/dev/interviews/staffml/analytics-worker/README.md

Example JSON response from the GET / endpoint, providing an aggregate summary of analytics data. Includes total events, recent activity, and score distributions.

```json
{
  "totalEvents": 1234,
  "last7Days": {
    "uniqueSessions": 42,
    "questionsScored": 380,
    "gauntletsCompleted": 15,
    "eventsByDay": { "2026-04-01": 50, ... },
    "scoresByLevel": { "L3": { "total": 120, "count": 50, "avg": "2.40" } }
  }
}
```

--------------------------------

### Run Release Validation E2E Tests

Source: https://github.com/harvard-edge/cs249r_book/blob/dev/tinytorch/tests/e2e/README.md

Execute Level 4 tests to simulate a fresh git clone, perform full setup through milestone 01, test pip installability, and conduct comprehensive verification. This takes approximately 30 minutes.

```bash
./tests/e2e/validate_release.sh
```

--------------------------------

### Start live preview server

Source: https://github.com/harvard-edge/cs249r_book/blob/dev/book/docs/DEVELOPMENT.md

Command to launch the development server which supports automatic reloading on file changes.

```bash
# Start live preview server
./binder preview

# The server will automatically reload when you save changes
```

--------------------------------

### Install and Verify mlsysim

Source: https://github.com/harvard-edge/cs249r_book/blob/dev/mlsysim/tutorial/instructor-quickstart.md

Install the library via pip and verify the installation by printing the version.

```bash
pip install mlsysim
python3 -c "import mlsysim; print(mlsysim.__version__)"
# Should print: 0.1.0
```

--------------------------------

### Setup Development Environment Script

Source: https://github.com/harvard-edge/cs249r_book/blob/dev/tinytorch/tools/dev/README.md

Execute this script from the project root to set up the development environment.

```bash
# From project root
./tools/dev/setup.sh
```

--------------------------------

### Install and Verify MLSys·im

Source: https://github.com/harvard-edge/cs249r_book/blob/dev/mlsysim/RELEASE_NOTES_0.1.2.md

Install the package via pip and verify the installation version and basic evaluation command.

```bash
pip install mlsysim==0.1.2
```

```bash
python -c "import mlsysim; print(mlsysim.__version__)"
mlsysim eval Llama3_8B H100 --batch-size 32
```

--------------------------------

### Check Chocolatey Installation

Source: https://github.com/harvard-edge/cs249r_book/blob/dev/book/docker/windows/README.md

Verify that Chocolatey, the package manager used for installing some dependencies, is installed and accessible within the container.

```powershell
docker run mlsysbook-windows choco --version
```

--------------------------------

### Margin Video with Start Time

Source: https://github.com/harvard-edge/cs249r_book/blob/dev/book/quarto/_extensions/mlsysbook-ext/margin-video/README.md

Embed a YouTube video in the margin and specify a start time in seconds using the `start` option.

```markdown
{{< margin-video "https://youtu.be/aircAruvnKk" "Neural Networks" "3Blue1Brown" start="120" >}}
```

--------------------------------

### Install Inkscape and Ghostscript using Chocolatey

Source: https://github.com/harvard-edge/cs249r_book/blob/dev/book/docs/BUILD.md

Execute these PowerShell commands as an administrator to install Chocolatey and then use it to install Inkscape and Ghostscript on Windows.

```powershell
# Install Chocolatey if not already installed
Set-ExecutionPolicy Bypass -Scope Process -Force
[System.Net.ServicePointManager]::SecurityProtocol = [System.Net.ServicePointManager]::SecurityProtocol -bor 3072
iex ((New-Object System.Net.WebClient).DownloadString('https://community.chocolatey.org/install.ps1'))

# Install tools
choco install inkscape ghostscript -y
```

--------------------------------

### Preview site with live reload

Source: https://github.com/harvard-edge/cs249r_book/blob/dev/kits/README.md

Start a local development server to preview changes in real-time.

```bash
quarto preview
```

--------------------------------

### Install Quarto CLI on Linux

Source: https://github.com/harvard-edge/cs249r_book/blob/dev/book/docs/BUILD.md

Download and install the Quarto CLI Debian package for Linux systems. Test the installation by checking the version.

```bash
wget https://github.com/quarto-dev/quarto-cli/releases/download/v1.9.27/quarto-1.9.27-linux-amd64.deb
sudo dpkg -i quarto-1.9.27-linux-amd64.deb
```

```bash
quarto --version
```