Solid early foundation. Docs and CI will help it get noticed.

12 Lessons to Get Started Building AI Agents

Documentation

89

Contributing guide5pt30

Contributing guidance is in the README, not a dedicated CONTRIBUTING.md (−20 pts).

Moving it to a CONTRIBUTING.md makes it easier to find and keeps the README focused. A dedicated file earns +47 pts base.

README12pt100

README is present.

Install and run instructions9pt100

README documents how to install the project.

License6pt100

Licensed under MIT.

Engineering

63

Linting and formatting5pt0

No linter or formatter config found.

Add a linter config such as .eslintrc.json, .prettierrc, ruff.toml, or .golangci.yml to enforce consistent code style.

CI/CD14pt40

CI is configured (.github/workflows/welcome-issue.yml).

Tests18pt80

Test files detected (04-tool-use/code_samples/test_demo_plugins.py).

Reproducibility6pt80

Lockfile present (requirements.txt). Installs are reproducible.

Issue and PR templates6pt100

Issue or PR templates present.

Project health

79

Repository metadata5pt60

Repository has a description.

Activity5pt60

Last pushed 3-6 months ago (−40 pts). A push within 90 days earns 80 pts; within 30 days earns 100 pts.

A recent commit keeps the project looking alive to visitors and contributors.

Dependency manifest6pt100

Dependency manifest found (requirements.txt).

Housekeeping3pt100

.gitignore present.

Repository health signals

Activity, community, and responsiveness at scan time

Activity

  • Commits (30d / 90d)
  • 0
    Forks
  • 0
    Releases

Community

  • Community health
  • authors own >50% of commits
  • 0
    Watchers

Responsiveness

  • Median issue response
  • Median PR merge time
  • 0
    Open issues
Repository files34 root entries
  • .agents
    Good: Licensed under MIT.
  • .devcontainer
    Good: Environment pinned via .devcontainer/Dockerfile.
  • .github
    Good: CI is configured (.github/workflows/welcome-issue.yml).
    Good: Issue or PR templates present.
  • 00-course-setup
  • 01-intro-to-ai-agents
  • 02-explore-agentic-frameworks
  • 03-agentic-design-patterns
  • 04-tool-use
    Good: Test files detected (04-tool-use/code_samples/test_demo_plugins.py).
  • 05-agentic-rag
  • 06-building-trustworthy-agents
  • 07-planning-design
  • 08-multi-agent
  • 09-metacognition
  • 10-ai-agents-production
  • 11-agentic-protocols
  • 12-context-engineering
  • 13-agent-memory
  • 14-microsoft-agent-framework
  • 15-browser-use
  • images
  • translated_images
  • translations
  • .env.example
  • .gitattributes
  • .gitignore
    Good: .gitignore present.
  • AGENTS.md
  • CODE_OF_CONDUCT.md
    Good: Code of conduct present.
  • global.json
  • LICENSE
  • README.md
    Good: README is present.
    Good: README is well structured with multiple sections.
    Good: README includes screenshots or visuals. Great for first impressions.
    Good: README has code examples.
    Good: README links to a live demo or deployed app.
    Good: README includes status badges.
    Good: README documents how to install the project.
    Good: README documents how to run the project.
  • requirements.txt
    Good: Lockfile present (requirements.txt). Installs are reproducible.
    Good: Dependency manifest found (requirements.txt).
  • SECURITY.md
    Good: Security policy present.
  • STUDY_GUIDE.md
  • SUPPORT.md