10-minute focus blocks
Stack quick missions between classes or shifts and keep the thread with slash-command breadcrumbs.
Starter Packs break down Python, Rust, and SQL skills into focused 10-minute missions. Practice with your copilot, build real terminal projects, and document the work for your resume or portfolio.
Each mission lives inside your AI coding tool with slash commands like /start, /next-task, and /help so you always know the next step.
AI coding tools are the CLI-style copilots (Claude Code, Codex CLI, Gemini CLI) you open inside each pack folder to run those slash commands.
Download the pack, open your AI coding tool in that folder, and type /start. Works on macOS, Windows, and Linux without admin rights.
Missions are written for Claude Code, Codex CLI, and Gemini CLI. You write code, iterate with your copilot, and see output on your machine every step.
Finish with a polished repo: automate a study task in Python, build a Rust CLI utility, or publish a data insights report with SQL.
Why start with Python Basics?
It’s the fastest on-ramp for students: quick setup, automation-friendly missions, and a capstone that demonstrates real time saved. Move on to Rust for systems tooling or SQL for analytics once you’re ready.
Includes the same Python Basics, Rust Basics, and SQL (SQLite) packs featured on the main site.
Icon-backed snapshots make the sprint feel approachable before diving into longer copy.
Stack quick missions between classes or shifts and keep the thread with slash-command breadcrumbs.
Every repo ships with /start, /help, and /next-task so you’re never staring at a blank cursor.
Publishable repos, notes, and screenshots make it easy to document progress for professors or recruiters.
Works with
Claude Code and Codex CLI each need a basic paid plan (~$20/month) or an API key, while Gemini CLI has a free tier for getting started. These subscriptions are handled directly with each provider, not through Starter Packs.
Short missions, measurable wins, and projects that translate to classes, research, and internships.
Missions end with something working on your machine—scripts, queries, or CLI tools—so you build confidence one deliverable at a time.
Reflection prompts and a notes journal help you capture wins, blockers, and the story you’ll tell on applications.
Python packs guide you through automating repetitive tasks, Rust missions teach you to build reliable CLI tooling, and SQL missions focus on data storytelling.
Pick the workflow you care about—course summaries, lab pipelines, club reports—and adapt the capstone to match.
Slash commands like /help, /next-task, and /review keep you collaborating with your copilot instead of waiting on answers.
Packs use synthetic local data, work on lab machines, and reinforce academic integrity by teaching reusable patterns rather than shortcuts.
Python Basics, Rust Basics, and SQL (SQLite)—each with guided missions, onboarding notes, and a capstone brief.
Learn loops, functions, and file I/O by automating everyday student tasks. Missions walk you from “hello world” to a scripted report or automation.
Capstone idea: turn a recurring CSV (grades, study log, attendance) into a polished summary you can run on demand.
Practice ownership, borrowing, and async by building a Task Ranger CLI. You’ll ship a command-line tool that feels ready for real systems work.
Capstone idea: create a reliable CLI to triage TODOs, research tasks, or project operations.
Query real datasets, write expressive SQL, and ship an Insights HQ report. Missions cover everything from SELECT basics to window functions.
Capstone idea: build a reproducible analysis pipeline for lab data, club metrics, or internship dashboards.
/start, /next-task, /help)Everything runs on your machine using synthetic sample data. Swap in your own files when you’re confident, and keep academic integrity by following your institution’s policies.
Need to collaborate? Push to GitHub or share reports from the capstone folder—each pack includes docs to make hand-offs easy.
Quick peek at the preview dashboard—just enough visual context to explain how `/start` feels without overwhelming the page.
Plan for short missions during the week and deeper focus when you’re assembling the capstone.
Unzip the repo wherever you work—no special permissions needed.
Launch Claude Code, Codex CLI, or Gemini CLI inside the folder. Onboarding docs cover the platform-specific commands.
Follow the guided missions. Ask /help or /explain when you need support, and use /next-task to keep momentum.
Document your before/after, polish the README, add screenshots, and share it with professors, supervisors, or recruiters.
A reproducible project repo with documentation, sample data, and notes explaining what you built and why it matters.
Expect to spend about an hour in Week 1 getting set up, then 10-minute missions during the week and slightly longer sessions when you assemble and polish the capstone.
shareable · documented · demo-ready
One-time purchase. Download once, keep it forever.
Python Basics, Rust Basics, and SQL (SQLite) in one bundle. Move between automation, systems tooling, and analysis as your projects evolve.
Begin with Python Basics to automate a student workflow quickly. Upgrade to the bundle when you’re ready for Rust or SQL.
Already finished Python Basics? You can always grab the bundle later when you’re ready to tackle Rust or SQL.
Here’s what students typically ship with each sprint.
PYTHON
Automate a recurring workflow
Download → transform → publish in one script. Common wins: weekly study summaries, grade trackers, or club reminders.
RUST
Ship a dependable CLI utility
Build Task Ranger to manage complex TODOs or research tasks, learning ownership and async along the way.
SQL
Tell a data story
Query a realistic dataset, write insights, and export a report for stakeholders—perfect for lab, club, or internship deliverables.
Most students begin with Python Basics because the setup is quick and the missions focus on automating work you already do. Move to Rust Basics when you want to build performant CLI tools, or SQL (SQLite) when you need data analysis and reporting.
No. If you can follow step-by-step instructions and run commands, you’re ready. Missions introduce concepts incrementally.
Unzip the pack, open your preferred AI coding tool in that folder, and type /start. Onboarding docs cover macOS, Windows, and Linux.
Expect about five minutes to complete Mission 1 once your AI coding tool is open. You’ll transform a small CSV into a Markdown report.
No. Everything runs locally. Campus lab machines and personal laptops are both fine—as long as you can run Node.js 18+ and an AI coding tool (Claude Code, Codex CLI, or Gemini CLI).
Yes. Each pack includes platform callouts and optional alternatives if your environment blocks a specific AI coding tool.
Free tiers are enough to get started. Paid access can speed up reviews, but it isn’t required.
Yes, when used responsibly. We provide synthetic data and general automation patterns. Always follow your institution’s policies.
Each capstone mirrors real student workflows: automate study reports with Python, build Task Ranger CLI upgrades in Rust, or publish an insights report with SQL. You’ll have a repo you can share.
Use /help or /explain right in the mission, or email support with logs and we’ll point you in the right direction.
No. It’s a one-time purchase with lifetime updates. No recurring fees.
Copy, tweak, and send. It explains what the sprint covers and how it stays within academic guidelines.
Subject: Request to use AI Coding Starter Sprint for my project Hi [Name], I’d like to use a short AI-assisted coding sprint (run inside my AI coding tool) to improve a workflow for my [course/club/research]. The missions run locally with synthetic data (no system access) and end with a reproducible capstone I can share. Depending on the pack, that capstone can automate a task, build a CLI tool, or publish a data analysis. Thanks, [Your Name]