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Courses/Agents and automation/GitHub Actions and Routines

GitHub Actions and Routines

Not everything you schedule should be agentic. Tests, lint, and deploy are CI. Triage, review, investigation, and change proposals can be agent work with guardrails.

  • Choose between GitHub Actions, local cron, loops, and agentic tasks.
  • Avoid automations that write without human review.
  • Design a PR review workflow that beginners can replicate.

What to Use

  • GitHub Actions: tests, build, lint, deploy, repeatable tasks without open-ended criteria.
  • Local cron or VPS: private tasks that need files or services on your machine.
  • Loop: time-based monitoring with a clear stop condition.
  • Scheduled agent: investigate, summarize, comment on PRs, or prepare drafts.
Terminal
name: ai-pr-check
on:
  pull_request:
    types: [opened, synchronize]

jobs:
  deterministic-checks:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - run: npm ci
      - run: npm run lint
      - run: npm test -- --runInBand
Complete Aulafy mapSee how this lesson fits without leaving your path.

Complete Aulafy map

How all courses connect

This is not a checklist. Start with the foundation, choose an outcome, and go deeper only when your project needs more control.

  1. 1Understand
  2. 2Apply or build
  3. 3Operate with confidence
01

Choose an application

Turn the foundation into a visible outcome: a website, a business improvement, media, or an interactive experience.

Continue into the technical branch when you need to maintain code, data, or infrastructure.

02

Build with code

Prepare your environment, work with coding agents, and run models while keeping control of your projects.

This branch prepares you to design and operate reliable AI systems.

03

Take systems to production

Combine retrieval, agents, evaluation, security, deployment, and model adaptation when the problem requires it.

You do not need every course: choose the component your system needs and return as it grows.

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