Student sprint

Learn faster inside your AI coding tool and ship projects you can show.

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.

Claude CodeCodex CLIGemini CLI
claude @ starter-packs

Fast, local setup

Download the pack, open your AI coding tool in that folder, and type /start. Works on macOS, Windows, and Linux without admin rights.

Hands-on practice

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.

Capstones you can show

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.

Why it sticks

Quick snapshot benefits

Icon-backed snapshots make the sprint feel approachable before diving into longer copy.

10-minute focus blocks

Stack quick missions between classes or shifts and keep the thread with slash-command breadcrumbs.

Live AI coding tool guidance

Every repo ships with /start, /help, and /next-task so you’re never staring at a blank cursor.

Capstones you can show

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.

Why it works

Built for busy students

Short missions, measurable wins, and projects that translate to classes, research, and internships.

Learn by shipping

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.

Flexible student workflows

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.

AI-ready habits

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.

What’s inside

Three starter packs, one learning system

Python Basics, Rust Basics, and SQL (SQLite)—each with guided missions, onboarding notes, and a capstone brief.

Python Basics

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.

Rust Basics

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.

SQL (SQLite)

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.

Shared resources

  • ✔ Guided missions with “done when” checklists
  • ✔ Slash-command workflow (/start, /next-task, /help)
  • ✔ Onboarding notes for macOS, Windows, and Linux
  • ✔ Learning log to capture reflections and before/after metrics

Local & safe by default

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.

Inside the packs

Guided missions feel like a living terminal walkthrough.

Quick peek at the preview dashboard—just enough visual context to explain how `/start` feels without overwhelming the page.

Preview of the AI Coding Starter Pack dashboard and missions
How it works

Four steps from download to demo day

Plan for short missions during the week and deeper focus when you’re assembling the capstone.

  1. 1. Download your pack

    Unzip the repo wherever you work—no special permissions needed.

  2. 2. Open your AI coding tool

    Launch Claude Code, Codex CLI, or Gemini CLI inside the folder. Onboarding docs cover the platform-specific commands.

  3. 3. Type /start

    Follow the guided missions. Ask /help or /explain when you need support, and use /next-task to keep momentum.

  4. 4. Ship your capstone

    Document your before/after, polish the README, add screenshots, and share it with professors, supervisors, or recruiters.

What you’ll deliver

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

Pricing

Choose a pack or grab the full bundle

One-time purchase. Download once, keep it forever.

Best value

All packs — $49 lifetime

Python Basics, Rust Basics, and SQL (SQLite) in one bundle. Move between automation, systems tooling, and analysis as your projects evolve.

  • ✔ Guided missions and capstone briefs for all three stacks
  • ✔ Slash-command workflow for Claude Code, Codex CLI, and Gemini CLI
  • ✔ Onboarding notes, reflections, and “done when” checklists
  • ✔ Lifetime updates as we refresh missions or add polish
Get all packs ($49)
Start focused

Single pack — $19

Begin with Python Basics to automate a student workflow quickly. Upgrade to the bundle when you’re ready for Rust or SQL.

  • ✔ 20-mission learning arc for Python Basics
  • ✔ Automate a repetitive task you already handle manually
  • ✔ Reflection journal and before/after metrics prompts
  • ✔ Capstone brief your professors or recruiters can review
Start Python Basics ($19)

Already finished Python Basics? You can always grab the bundle later when you’re ready to tackle Rust or SQL.

Proof

The same packs trusted on our main site

Here’s what students typically ship with each sprint.

Python Basics

PYTHON

Automate a recurring workflow

Download → transform → publish in one script. Common wins: weekly study summaries, grade trackers, or club reminders.

Rust Basics

RUST

Ship a dependable CLI utility

Build Task Ranger to manage complex TODOs or research tasks, learning ownership and async along the way.

SQL (SQLite)

SQL

Tell a data story

Query a realistic dataset, write insights, and export a report for stakeholders—perfect for lab, club, or internship deliverables.

Want extra context? Browse the full pack previews on the homepage or check the pack READMEs inside each download.
FAQ

Answers before you dive in

Which pack should I start with?

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.

Do I need to be a developer?

No. If you can follow step-by-step instructions and run commands, you’re ready. Missions introduce concepts incrementally.

How much setup is there?

Unzip the pack, open your preferred AI coding tool in that folder, and type /start. Onboarding docs cover macOS, Windows, and Linux.

How fast is the first win?

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.

Will I need admin rights?

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).

Windows/Mac/Linux?

Yes. Each pack includes platform callouts and optional alternatives if your environment blocks a specific AI coding tool.

Do I need a paid AI plan?

Free tiers are enough to get started. Paid access can speed up reviews, but it isn’t required.

Is this OK for academic integrity?

Yes, when used responsibly. We provide synthetic data and general automation patterns. Always follow your institution’s policies.

How “real” are the projects?

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.

What if I get stuck?

Use /help or /explain right in the mission, or email support with logs and we’ll point you in the right direction.

Is this a subscription?

No. It’s a one-time purchase with lifetime updates. No recurring fees.

Need approval?

Ask your professor or supervisor

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]