{
  "id": 15630903,
  "title": "Red Hat helps teach about tech writing",
  "url": "https://urgent.news/2026/10/19/red-hat-helps-teach-about-tech-writing",
  "topic": "tech",
  "section": "Tech",
  "published": "2026-10-19T16:11:00.000Z",
  "source": {
    "name": "The Register",
    "slug": "the-register",
    "url": "https://www.theregister.com/os-platforms/2026/10/19/red-hat-helps-teach-about-tech-writing/5303868"
  },
  "original_language": "en",
  "account": "In Brno, Czechia, Red Hat's large local office has been collaborating with Masaryk University's Faculty of Informatics to teach future technical writers. Red Hat's Brno documentation team presented a talk at the Open Source Summit in Prague, sharing their experiences in teaching technical writing through an open-source approach. The team learned from the students, discovering that some methods did not yield the desired results.\n\nThe course aimed at students with technical knowledge, but they faced challenges when setting classwork with shell-based tools. Some students had never used the command-line, and others had borrowed laptops without proper permissions. Additionally, students struggled with grading each other's work due to time constraints. The team ultimately created a compromise, teaching students how to grade each other's work respectfully.\n\nRegarding the use of large language models (LLMs), the students were initially prohibited from utilizing them during the course. However, they inevitably used LLMs, which led to challenges in recognition and evaluation of good work. The team had to devise strategies to manage this issue, including teaching students how to use LLMs responsibly. Some effective techniques included awarding points, even if arbitrarily, and providing feedback through internet-style memes. A final exercise involved role-playing scenarios, where students navigated a cross-functional team to create technical documentation.\n\nThe primary focus of the \"Birds of a Feather\" session was the use of LLMs in tech writing. Despite the students' belief that AI models were poor at writing documentation, creating diagrams, or reviewing them for review purposes, the audience predominantly agreed that LLMs could still be beneficial. They found applications in change management, updating documentation, documenting meeting notes, and summarizing conference or meeting information. However, the audience also expressed concern about the models' shortcomings in these areas.",
  "summary": "But learns tough lessons about AI in the process",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}