Prompt Engineering Guide
PulseGate's liveness check found it on 19 Sep 2026; it is registered on GitHub and has been in the index since 19 Sep 2026. How this is checked
Prompt Engineering Guide is an open educational resource covering prompt design, prompting techniques, retrieval-augmented generation, AI agents, fine-tuning, and LLM application development. It also provides examples, guides, and related courses for developers and researchers.
Inferred · not functionally tested
Overview
6 featuresPurpose: Learning how to design effective prompts and build applications with large language models.
Inferred · not functionally tested
Audience: AI developers, researchers, and prompt engineers
Inferred · not functionally tested
Functions: Unknown
Interfaces: API: unknown · MCP: unknown · CLI: unknown · Self-hosting: unknown
Recorded constraints: pricing: unknown · license: MIT · platforms: WEB · deployment: browser, cloud_managed
Constraint provenance is unknown; confirm requirements with the publisher.
Record sources: promptingguide.ai · github.com. These links do not verify the individual claims.
In the Other AI space, Prompt Engineering Guide takes a focused approach. Inferred · not functionally tested: It focuses on learning how to design effective prompts and build applications with large language models. Inferred · not functionally tested: Prompt Engineering Guide is an open-source project aimed at AI developers, researchers, and prompt engineers. Basis unknown · not verified: It runs on the web.
Behind Prompt Engineering Guide is DAIR.AI, and it first shipped in 2022. Development happens publicly on GitHub with 78.5k stars. Inferred · not functionally tested: Key capabilities include prompting techniques, prompt examples, and RAG guidance.
Summary written by a language model from the project’s public pages.
Tasks: Inferred · not functionally tested
- Prompting techniques
- Prompt examples
- RAG guidance
- AI agent guides
- Fine-tuning guides
- Function calling
Topics: Inferred · not functionally tested
Built with & integrations
- Claude Code
- commit 08d3cdda0e6b · since Jul 2025
- Next.js
- /_next/static/ in the HTML
- openai
- bgpt- in the HTML · dall- in the HTML
- Vercel
- x-vercel-id header · x-vercel-cache header
- anthropic
- bclaude- in the HTML
- meta_llama
- llama- in the HTML
- google_gemini
- bgemini- in the HTML
Trust & compliance
Indexing history
1What PulseGate has recorded for this listing
- Indexed6 Sep · 23:29 UTCdair-ai/Prompt-Engineering-Guide seen via GitHub Search (Smart)Source: GitHub Search (Smart) · Open
Frequently asked questions about Prompt Engineering Guide
- What is Prompt Engineering Guide?
- Inferred · not functionally tested: Prompt Engineering Guide focuses on learning how to design effective prompts and build applications with large language models. It is catalogued under Other AI on PulseGate.
- Who should use Prompt Engineering Guide?
- Inferred · not functionally tested: Prompt Engineering Guide is an open-source project built for AI developers, researchers, and prompt engineers.
- What platforms does Prompt Engineering Guide run on?
- Basis unknown · not verified: Prompt Engineering Guide runs on the web.
- Is Prompt Engineering Guide still active?
- PulseGate's liveness check found it on 19 Sep 2026.
- What are alternatives to Prompt Engineering Guide?
- Similar projects tracked by PulseGate include Learn Prompting, Prompt EASY, and Promptmetheus.Learn PromptingPrompt EASYPromptmetheus
- Who develops Prompt Engineering Guide?
- Prompt Engineering Guide is developed by DAIR.AI.
- When did Prompt Engineering Guide launch?
- Prompt Engineering Guide first shipped in 2022.
- Is Prompt Engineering Guide open source?
- Basis unknown · not verified: Prompt Engineering Guide has a public GitHub repository.
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