# GitHub Actions (CI/CD) Projects at AI Tinkerers

> Canonical HTML: https://aitinkerers.org/technologies/github-actions-ci-cd
> Markdown URL: https://aitinkerers.org/technologies/github-actions-ci-cd.md
> Technology record last updated: 2026-05-27T20:42:02Z
> Generated: 2026-09-21T23:39:01Z

Automate your build, test, and deployment pipelines directly within your GitHub repository using YAML-defined workflows.

GitHub Actions eliminates the friction of managing external build servers by integrating CI/CD directly into your code repository. You define workflows in YAML files inside the .github/workflows directory, triggering automated jobs on specific events like pull requests, branch pushes, or cron schedules. The platform supports matrix builds to test across multiple operating systems and runtime versions simultaneously, and it leverages a vast marketplace of reusable, pre-built actions to simplify complex steps. Whether you run your builds on GitHub-hosted runners (supporting Linux, Windows, and macOS) or deploy your own self-hosted infrastructure, Actions provides a secure, unified environment to move code from commit to production.

- Official technology site: https://github.com/features/actions
- Public AI Tinkerers demos and talks: 1
- Result page: 1 of 1

## Recent Public Talks and Demos

### [Solving Cold Start GTM with Claude Code (and Zero Headcount)](https://seattle.aitinkerers.org/talks/rsvp_saEaMuqlges)

Loupe is a luxury watch market intelligence and tool platform designed for collectors and dealers. With a one-person team and Claude Code, we ship SEO landing pages, Instagram content (carousels, reels, stories), editorial guides, across 22+ watch brands, all from CC. In this demo, I'll walk through the actual workflows: how a single CLI session can research a topic, query Supabase for watch data, generate templated visuals with Puppeteer, compose ffmpeg reels with Ken Burns and transition effects, and push a finished landing page and associated Instagram reel to production. Leveraging Claude Code with custom slash commands, custom MCP integrations, and a growing skills library that turns repetitive GTM work into repeatable pipelines. I'll show the real session transcripts, the messy iterations, and the parts that broke. Leveraging this method, we've grown from 0 to 100 followers in a week.

- Event context: AI Tinkerers Seattle: GTM Track — March — 2026-03-26 — Seattle
- Public talk page: https://seattle.aitinkerers.org/talks/rsvp_saEaMuqlges

## Related Technologies

- [Claude Code](https://aitinkerers.org/technologies/claude-code) ([Markdown](https://aitinkerers.org/technologies/claude-code.md)) — 215 public demos
- [Docker](https://aitinkerers.org/technologies/docker) ([Markdown](https://aitinkerers.org/technologies/docker.md)) — 147 public demos
- [FFmpeg](https://aitinkerers.org/technologies/ffmpeg) ([Markdown](https://aitinkerers.org/technologies/ffmpeg.md)) — 16 public demos
- [Puppeteer](https://aitinkerers.org/technologies/puppeteer) ([Markdown](https://aitinkerers.org/technologies/puppeteer.md)) — 7 public demos
- [React](https://aitinkerers.org/technologies/react) ([Markdown](https://aitinkerers.org/technologies/react.md)) — 220 public demos
- [Supabase](https://aitinkerers.org/technologies/supabase) ([Markdown](https://aitinkerers.org/technologies/supabase.md)) — 90 public demos
- [Vercel](https://aitinkerers.org/technologies/vercel) ([Markdown](https://aitinkerers.org/technologies/vercel.md)) — 48 public demos
- [Vite](https://aitinkerers.org/technologies/vite) ([Markdown](https://aitinkerers.org/technologies/vite.md)) — 17 public demos