1. You don’t have to speak perfect English to be a speaker

    1. Your voice matters, and you probably have relevant experience to share with an audience. By taking a chance and giving a talk, you can help teach others, and add a fresh perspective to the event where you are speaking.
    2. Women Who Code events aim to create a friendly space for presenters to share their knowledge. Local events and lightning talks are a great place to get started. Or if you’re feeling bold, give a full-length talk or workshop.
    3. Don’t worry if you have an accent. The tech community needs voices from around the world. Yours too 💕
    4. When submitting to a conference, always get someone to proofread your work for typos, clarity, and other feedback. This advice is good for native speakers as well. You can ask a colleague, or reach out in WWCode’s slack channel for help.

  2. Practice, practice, practice

    1. Ask a colleague to listen to your talk and give you feedback
    2. Make a video recording of your talk, then play it back and evaluate how it went

  3. Technical language in English is concise and free of “fluff” (empty language)

    Removing Fluff from your Technical Writing

  4. Some pointers on inclusive English language:

    1. Use “women” to refer to adult women
      1. “Girls” denotes under 18, and while casual English might use phrases like “Girls’ Night”, in a professional context it’s better to use Women
      2. Avoid using “female” as a noun, e.g. “females in tech”. Generally, “female” is only used in the noun form when referring to animals
    2. The collective noun “guys” sounds masculine. It’s preferred to use “everyone,” “folks,” “y’all”, etc.

  5. Using AI to supplement your writing? Here are some pointers:

    1. Make sure to proofread and evaluate the output of the tool. Sometimes AI can make very surprising, or even false claims. Check for coherence, smooth sentences, and ensure that you’re not promising something you can’t deliver.
    2. Some AI tools have a tendency for “fluff.” It’s better to edit this out. See
    3. Put your unique voice in it. AI is trained on a lot of data on the internet, and tends to converge on certain patterns, some of which are biased. WWCode imagines a tech future that is diverse and inclusive. Blending in your own perspective creates authentic content that audiences love.