GitHub Copilot Prompt for Summarizing a Document
GitHub Copilot, the AI assistant developed by GitHub and powered by OpenAI models, is not limited to code generation. Integrated directly into your editor (VS Code, JetBrains, Neovim), it also excels at summarizing technical documents, specifications, README files, or any documentation in your project. Summarizing a document is a common task for developers who need to quickly understand the content of a documentation file, a detailed bug report, an RFC, or a lengthy changelog. By using Copilot Chat with a well-structured prompt, you can get a clear, hierarchical summary in seconds without leaving your development environment. The main advantage of Copilot for this task is its ability to understand your project context: it can cross-reference the document content with surrounding source code to produce more relevant, action-oriented summaries. Whether you're onboarding a new team, reviewing documentation, or preparing a presentation, mastering the art of the summary prompt with Copilot will save you considerable time daily.
Paste in your AI
Paste this prompt in ChatGPT, Claude or Gemini and customize the variables in brackets.
Summarize the following document in English in a structured manner. Provide: 1) An executive summary of 2-3 sentences capturing the essence of the document. 2) Key points organized by theme in a bulleted list (max 7 points). 3) Any important decisions or actions mentioned. 4) Items that require special attention or follow-up. Tailor the level of detail for a technical reader who needs to quickly understand the content without reading the entire document. If the document contains code snippets or technical specifications, highlight them separately. Here is the document: [PASTE_DOCUMENT_CONTENT_HERE]
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Answer 3 questions and Léa tailors the prompt to your situation.
Why this prompt works
This prompt works by providing an explicit output structure in four numbered sections, forcing the model to organize its response hierarchically rather than producing a monolithic block of text. The instruction about the reader profile (technical, in a hurry) calibrates the level of detail and vocabulary. Finally, the request to separate code elements and follow-up actions forces a multi-dimensional analysis of the document rather than simple text compression.
Use Cases
Variants
Expected Output
You will get a structured summary in four distinct parts: a concise executive summary, a thematic list of key points, an inventory of decisions and actions, and a section for alerts about items needing follow-up. The result is directly usable for a team report, a ticket note, or a quick decision without reading the entire original document.
Frequently Asked Questions
What is the maximum document size that GitHub Copilot can effectively summarize?
GitHub Copilot Chat has a limited context window (varies depending on the underlying model, typically between 8K and 128K tokens per version). For very long documents, it's recommended to split them into sections and summarize each section separately, then request a meta-summary. In VS Code, you can also use the #file command to reference a workspace file, allowing Copilot to read it directly without copy-pasting.
How can I get a more faithful summary and avoid hallucinations from Copilot?
To minimize hallucinations, add the explicit instruction "Base your response solely on the content of the provided document, do not supplement with external information" to your prompt. You can also ask Copilot to quote exact passages from the document for each summary point by adding "Quote original sentences in quotation marks for each key point." Finally, always verify factual elements (dates, figures, names) in the summary against the source document.
Can Copilot be used to summarize non-technical documents like meeting minutes?
Absolutely. Although Copilot is optimized for development contexts, it handles non-technical documents very well. For meeting minutes, adapt the prompt by specifically asking for decisions made, assigned owners, deadlines, and outstanding items. You can paste the content directly into Copilot Chat or, if the document is in your repository, reference it using #file. The better structured the source document, the better the result will be.
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- LéaAI
Pour des documents très longs, ajoutez « Ignore les parties non techniques » pour forcer Copilot à filtrer le contexte inutile et éviter les résumés trop généraux.
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