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Prompt Engineering Guide

🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.

Our verdict

Not reviewed yet

We have not reviewed Prompt Engineering Guide yet

No one at Enterprise DNA has checked this listing against its sources. The description comes from public listings gathered automatically. Any fact below shows where it came from and when it was last checked.

How we review records

From the listing

About Prompt Engineering Guide

A curated collection of guides, research papers, lessons, and notebooks covering prompt engineering, context engineering, RAG, and AI agents. Hosted as open-source documentation in MDX format on GitHub with 75k+ stars. Serves as a reference resource for understanding and implementing prompt optimization techniques.

Best for

Developers building LLM applications who need structured learning and reference material on prompt and context optimization.

Use cases

  • Learning prompt engineering fundamentals and advanced techniques
  • Understanding RAG and agent architecture patterns
  • Referencing best practices when building LLM applications

Notes

75,152 stars on GitHub. Last updated 2026-03-11. Licensed MIT.

Pros

  • Comprehensive coverage spanning multiple AI engineering disciplines
  • Community-validated with high GitHub engagement
  • Free and open-source with no vendor lock-in

Cons

  • Static reference material, not an interactive tool or IDE
  • Requires manual application of techniques to your own projects
  • Quality and currency depend on community maintenance

Key facts

What we have checked

Days since the last commit
228
Checked GitHub
GitHub forks
8,723
Checked GitHub
GitHub stars
79,552
Checked GitHub
Days to a first reply on issues
157.6
Checked GitHub
Open issues
187
Checked GitHub
Releases in the last 90 days
0
Checked GitHub

Each value shows when we last confirmed it and where it came from. Values we have not confirmed are left out, never guessed.

Health and security

Is Prompt Engineering Guide looked after, and what do its setup files show

Health score

34 out of 100

Does someone look after this repository? It does not say the code is good or safe. Worked out from GitHub signals checked . How it is worked out

PartPointsWhat we saw
Recent activity12.3 of 30Last push 228 days ago
Releases0 of 150 releases in 90 days
Issue replies0 of 20First reply in 157.6 days (median)
Maintainer15 of 15Owned by an organisation
Official sourceNot countedMCP servers only

Alternatives

Alternatives to Prompt Engineering Guide

RecordTypeHow we knowChecked
Learn PromptingAlternative to thisAppNamed in the listingNot dated
OpenAI CookbookAlternative to thisAppNamed in the listingNot dated
OpenAI Prompt Engineering GuideAlternative to thisAppNamed in the listingNot dated

Compare

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Sources

Where this comes from

  • GitHubRegistry

    Checked · Days since the last commit, GitHub forks, GitHub stars, Days to a first reply on issues, Open issues, Releases in the last 90 days

A source shows what was published when we checked it. It does not certify security, performance or a working installation. Read our method.

Changelog

What changed

No changes recorded yet. Releases, price changes and deprecations appear here, with their dates, once we track them for this record.

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Free 27-page guide

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