Take a brand-new idea through the entire lifecycle — on your own, start to finish.
Module 12 · Your portfolio piece. Everything you've learned, applied once more, solo.
Advanced Capstone Full Project Self-pacedYou've built the snippet vault with training wheels — guided, one module at a time. The capstone removes them. Pick a new, small idea and take it all the way from a blank folder to a deployed, tested, monitored product, applying every practice from Modules 1–11 yourself.
Anyone can follow a tutorial. Shipping your own idea through the full professional pipeline — with the AI as your pair and DevOps as your discipline — is the thing that proves the skill. This repo is what you show people.
Keep it tiny — the point is the lifecycle, not the feature count. Something with a little data and a few actions is perfect:
| Idea | Core actions |
|---|---|
| Habit tracker | Add a habit, mark done today, see a streak. |
| Link shortener | Create a short link, redirect, count clicks. |
| Expense log | Add an expense, list, filter by category. |
| Bookmark board | Save a URL with tags, search, delete. |
You've felt how MVP scope keeps a project finishable (Module 3). Apply it ruthlessly here: three user stories is plenty. You can always extend a shipped app; you can't ship a bloated one.
Walk your idea through the whole course. Each item maps to a module you've already done:
Internalize it. Every real project you build from now on — with any AI assistant, in any language — walks this same path. That's what "vibe coding, shipped right" means.
| When you… | Remember |
|---|---|
| feel tempted to skip the spec | That's how the AI starts wandering. Spend 20 minutes on SPEC.md first. |
| get a big AI diff | Shrink the ask. Review like a PR. Small, reviewed, committed. |
| hit a wall | Reset context, give an example, or take the wheel (Module 5). |
| want to add "just one more feature" | Ship first. Then it becomes a new milestone, on a new branch. |
| reuse infra/CI/monitoring | Lean on the DevOps Lab templates — and review every line. |
This is the whole course, once more, on your idea. The deliverable is a real, shipped product plus a short writeup.
Everything from the course: an AI assistant, Node, Docker, a GitHub account, and a host. And one small idea you'd actually use.
New repo, context file, and a tiny SPEC.md (3 stories with acceptance criteria, a milestone list). First commit.
Work milestone by milestone on branches: vibe-code, review, test each acceptance criterion, lint/validate, commit, merge. Keep main always green.
Add Dockerfile(s) + compose, push to GitHub, and wire CI to run your gates on every push.
Deploy to a public URL (infra as code where you can), add a /health endpoint, structured logs, a metric, and one uptime alert.
Finish REFLECTION.md as a short project writeup: the idea, your live URL, the stack, where the AI shone, where you took the wheel, and which DevOps practice saved you. This is your portfolio README.
A link to your GitHub repo and the live app. Self-check — you can tick all eleven checklist items:
SPEC.md; milestones built on branches with reviewed diffs/health, logs, a metric, and an alertREFLECTION.md writeup with the URLYou can take an idea and, with an AI assistant as your pair, ship it as a real product — specified, version-controlled, tested, secured, containerized, continuously integrated, deployed, and monitored. You build with the vibe and ship with the discipline. That's a professional skill, and it's yours.
Where to go next: extend your capstone with a new milestone, go deeper on the engineering side in the DevOps Lab, or start something bigger — you now have the full playbook. Thank you for building with us. Now go ship something.