GitHub Copilot Prompt for Writing a Press Release

GitHub Copilot, the coding assistant developed by GitHub and OpenAI, is not limited to code generation. Thanks to its advanced natural language processing capabilities, it can also assist you in writing professional content such as press releases. Using Copilot Chat or structured comments in your editor, you can generate press releases that adhere to journalistic conventions: inverted pyramid, embedded quotes, data points, and institutional tone. The advantage of using GitHub Copilot lies in its direct integration into your work environment — ideal for tech teams writing product announcements, feature launches, or corporate communications without leaving VS Code. This prompt is designed to produce a complete press release, structured to press relations standards, ready to be sent to journalists or published on your newsroom. Simply replace the variables in square brackets with your specific information to get a professional document in seconds.

The prompt

GitHub Copilot

Write a professional press release for [COMPANY_NAME] regarding [ANNOUNCEMENT_SUBJECT]. The release must follow the classic journalistic structure: a catchy and informative headline, a subhead summarizing the essentials, a lead covering the 5Ws (who, what, when, where, why), then 3 to 4 paragraphs developing the information in inverted pyramid order (from most to least important). Include a quote from [SPOKESPERSON_TITLE, e.g., CEO / Product Director] that adds a human and strategic dimension. Incorporate concrete data: [KEY FIGURES, STATISTICS, AMOUNTS]. The tone should be factual, institutional, and engaging without being promotional. End with an 'About [COMPANY]' paragraph (boilerplate) of 3-4 lines describing the company, then press contact information: [CONTACT_NAME], [EMAIL], [PHONE]. The release should be between 400 and 600 words. Add 'For Immediate Release' at the top and today's date.

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Why it works

This prompt is effective because it imposes a precise journalistic structure (inverted pyramid, 5Ws) that the model can follow like a canvas, reducing hallucinations and ensuring completeness. The variables in square brackets force the user to provide essential factual data, anchoring the generation in reality. Finally, the tone constraints ('factual, institutional, non-promotional') and length (400-600 words) frame the output to meet journalists' expectations.

Expected result

You will get a complete and structured press release, ready for distribution, including a compelling headline, an informative lead, paragraphs organized in descending order of importance, a contextualized quote, and a company boilerplate. The document will comply with French press relations conventions and can be sent directly to newsrooms or published on your online press room.

Variants by level

FAQ

Can GitHub Copilot really write a professional-quality press release?

GitHub Copilot, especially via Copilot Chat, can generate structured and coherent press releases thanks to its advanced language models. However, it should be considered a first-draft assistant: it produces a solid foundation that you must then proofread, fact-check, and adjust to your company's exact tone. Figures, quotes, and contact information should always be manually verified before distribution.

How can I adapt the generated press release to my specific industry?

Specify your industry directly in the prompt (tech, healthcare, finance, etc.) and add the specific jargon you want to appear. You can also provide a previous press release from your company as context so Copilot aligns with your editorial style. In VS Code, open a file containing your previous releases in an adjacent tab so Copilot can draw inspiration.

What is the best way to use this prompt in GitHub Copilot?

Two approaches are recommended. First: use Copilot Chat (Ctrl+I or Cmd+I in VS Code) and paste the complete prompt with your filled-in variables. Second: create a .md file in your project, write the prompt as a comment at the top of the file, and let Copilot complete the content paragraph by paragraph. The first method is faster, the second gives more control over progressive text generation.

How to use this prompt

Copy the prompt with the button above.
Paste it into ChatGPT, Claude or your favorite AI assistant.
Replace the bracketed variables with your details, then refine the result.

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