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Writing Git commit messages

When it comes to writing Git commit messages, it can be challenging to create concise and informative messages that accurately describe the changes being made. Fortunately, with the help of ChatGPT, this task can be made much easier. ChatGPT is an AI-powered virtual assistant that can generate commit messages based on the changes made to your code. By using ChatGPT, you can save time and ensure that your commit messages are effective in communicating the changes made.

Assistants

Prompts

Copy a prompt, replace placeholders with relevant text, and paste it at our chat
Prompt # 1
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"Could you meticulously generate a comprehensive and precise Git commit message aligned with the ongoing development for the entity referred to as [OBJECT]? Please ensure to incorporate a [ADJECTIVE] executive summary, detailing the modifications, enhancements, or bug fixes performed. Additionally, elucidate the alterations made specifically in [NUMBER] lines of code, shedding light on the rationale behind such changes, the potential impact on the system, and how it aligns with the overall project requirements. The commit message should adhere to best practices, including clear and concise language, active voice, imperative mood, and a brief yet descriptive explanation."

Prompt # 2
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"What should be included in a proper Git commit message for the [OBJECT] I just completed? Can you create a [ADJECTIVE] message that captures the changes in [NUMBER] lines?"

Prompt # 3
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"Can you write a Git commit message for [OBJECT] that follows [STYLE GUIDELINE]?"

Prompt # 4
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"Could you please assist me in writing a Git commit message for the [FILE] file that we [ACTION] in the [BRANCH] branch?"

Prompt # 5
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"I need your help in crafting a [ADVERB] Git commit message for the [TASK] task that we [ACTION] in the [PROJECT] project."

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Tips

Follow these guidelines to maximize your experience and unlock the full potential of your conversations with Mate Chat.
Experiment with different prompt formats: The format of the prompt can have a big impact on the quality of the generated text. Experimenting with different prompts can help you understand what works best for your specific use case.
Play around with the temperature and top-k hyperparameters: These hyperparameters control the level of randomness and diversity in the generated text. Experimenting with different values can help you find the sweet spot that works best for your specific use case.
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