Speed up your Issue Creation with Copilot: Feedback #159075
Replies: 29 comments 22 replies
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Is this also available in Copilot Free? |
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I would like to know the following:
Thanks. |
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Nobody asked for this useless feature, especially with no opt out. I don't have time as a maintainer to sift through idiotic PRs written by a stochastic parrot trained on stolen data. |
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Please consider #159749 |
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A nightmare is coming true. In case someone did not notice, issues are already written in natural language, or close to. So basically your idea is to prompt Copilot in natural language (because it's intuitive, you know) to produce something that is otherwise written in natural language ? And what is making you think that users that are not capable of stating clearly their issue without LLMs will be able to provide a useful prompt to Copilot ? Which brings my second point: in the example you have provided, Copilot is taking the user statement for granted, and is not challenging anything. So if the user has actually misspelled the MarkDown syntax, well that's too bad because Copilot is doing what LLMs are doing best: making up facts to fill the gaps. In your example, Copilot is assuming that the user has used the correct table syntax without having any single evidence supporting that assumption. Which brings my third point: the example that Copilot is providing to "reproduce" the bug is not tested, neither by the user nor by Copilot. So the example may or may not be relevant. And when the example is made up by Copilot, well then the project maintainer will be delighted to find that the so-called "example to reproduce the bug" is actually working. But, oh wait, it's up to the user to check that the report that Copilot has I guess you've read real life bug reports and therefore know what the average issue/ticket looks like ? I'd be very surprised that the kind of users who will use that "feature" are the people who are writing well detailed, well explained tickets with tested examples to reproduce the bug. IMO, the users who will most likely use that "feature" are the users who are not providing any example and are just telling "It doesn't work". Are you deluding yourself in assuming that they will copy the example written by Copilot and check that it is actually triggering the bug that they are reporting ? For all these reasons, it would be appreciated that -as some other people have suggested- these issues are properly tagged as having been generated by AI, so that project maintainers know that these should be read with a pinch of salt. That would really be the bare minimum. However I am not deluding myself in thinking that this suggestion will be taken into account, I'm a small fish maintaining an obscure, low profile GitHub project (and spare me the public relationship message "GitHub is taking very seriously the feedback from all of its users."). Well, I guess your performance at GitHub is evaluated by how much AI you are pushing into the website no matter what. So project maintainers will have to live with good and not so good AI features. |
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Copilot is not able to make pull requests. It has complete access to all our repos and when I ask it something super simple, it says directly that it cannot make pull requests. The documentation says it can though so what is the trick to enable this? I am chatting with the current repo I am asking for the change in as the context as you'll see in the 2nd screenshot. What am I missing? In the convo below, if I say "proceed" it just makes the code in a snippet and hands it to me. I want it to make a pull request, what do I have to do to make it make a pull request? |
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Can we please stop throwing AI at every step ? Please ? Pretty please ? This feature feels extremely rushed and not well thought through. No project with even a moderate degree of popularity would see this useful. I can already imagine the army of trolls swamping projects with useless PRs and Issues. I don't understand how GitHub or Microsoft thinks this is a good idea? Is the use of AI this desperate that determines you to alienate your user-base over ? Keep this on and GitHub will truly become an AI platform. With AI as both the content producer and consumer and Zero users to care about it |
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I hate how this feature can be used to make up issues that aren't even real, while making them look plausible. And frankly, I don't think it's useful for anything else, the thing is, issues are already written in natural language, so anything that doesn't come from input is pretty much bullshit, outright lies that waste maintainers' time (as copilot cannot compile the project, and actually check what happens). |
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So there is no opt-out. We are for the most part unpaid and unwilling beta-tester's for a L.L.M. that is not market ready in the slightest. To top it off there is no way short of increasing work-load for maintainers to moderate its use. That is my understanding of this as it stands, if I see none of the above issues resolved I'll be moving to alternative or self hosted services. Encouraging others to do the same. |
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Create me an issue for ... prompt can work in VS CODE ? or only through https://github.com/copilot ? |
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Crosspost on the github maintainer discussion board: For maintainers who don't know about this => https://maintainers.github.com/ |
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So I've used the feature with a real-life case: I've copied the whole text (verbatim) from a not so helpful report from a user in our project and asked Copilot to create an issue to see if we'd have had a better report:
Note that Copilot is not adding any useful information. Instead it is repeating ad nauseum the wording from the user and making up facts:
There is a word for that: noise. Copilot is increasing the noise and does not improve the signal. It is degrading the signal to noise ratio. All in all, I am vastly preferring the original user report over Copilot's. |
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Is the only way to see the code diff for the to be PR via the GFM rendering of code blocks in the PR body‽ |
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Yo, to be honest, CoPilot overall is just a really poorly put together product.The online experience is completely ass. I'm basically using ChatGPT(which is connected to my GitHub so it could actually query correct data about repositories from GitHub, similar to how the MCP server would) and RooCline, Claude, and whatever other MCP clients to learn about repositories along with the RepoMix MCP and the GitHub MCP and even Devon. So in terms of learning, it's bad. In terms of coding, cursor tab is still better. In terms of providing a quick environment to make a project or component or interface(think v0, chatgpt or claude canvas, bolt.new), It's bad. So my original reasons for going with Copilot over Cursor were essentially My understanding of how integrated GitHub already was into everybody's development workflow and how much data they had that only they had access to. So I assume that their co-pilot models would be better. They own VS Code which has the most data out of anybody competing. They have unlimited funding. At some point they basically owned like half of OpenAI. And I'm talking about Microsoft in general, but not just GitHub Copilot. But that should let you know that this isn't some small player trying to make some really complex software. This is Microsoft, the company that practically invented computers and like 80% of the world's operating systems are Microsoft right now. And basically 99% of the code editors are Microsoft. You know, it just doesn't make sense how this product isn't the best at anything at all. And yet I'm paying $40 a month for it. It's like I could buy a cloud subscription and cursor for the same price. And I will literally be saving money at the end of the day because I won't be paying for a cloud code anymore because then it would be covered by the subscription. You know, it's like there's no incentive to stay here and the agent isn't good either. |
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When creating an issue, copilot can see that we have templates and I can choose one of them. NOTE: the templates are not in the repo we're working in, but in our When I select the template, copilot says it cannot get the contents of the template. I would expect copilot to get the template contents from the org's |
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I just tried this out, and I noticed that the repo selection is always pre-filled by Copilot. This makes it difficult for me to use the feature as I'd need to be extra cautious to make sure the issue goes to the right place. I’d prefer if the repo field could be left empty by default so I can manually set it myself. The preferred / default repo can be set via the personal instructions instead. |
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Copilot is now refusing to create issues stating that a template is required, even though I have a template selected: |
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Please give us a way to completely block this from our repos, or I'm going to be forced to stop using github enterprise. |
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I’m uncertain what the comment was originally ? Refresh my memory?
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…On Sun, Jun 22, 2025 at 6:51 AM Michael K ***@***.***> wrote:
Please give us a way to completely block this from our repos, or I'm going
to be forced to stop using github enterprise.
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How about now?
…On Sun, Jun 22, 2025 at 3:22 PM laniigar ***@***.***> wrote:
Im not seeing it
Nothing is showing damn it
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Got to try it out today and I noted two accessibility-related issues:
Both of those I managed to fix with further prompting. And not really a surprise but it hallucinates. The issue I wanted was to demo performance-related template features (caching). Of two such features, it referenced one and made up another that doesn’t exist. It didn’t seem capable to browse the URL I provided. Adjusted a bit according to further prompting but clearly not able to reference the docs while creating an issue. Generated output for refThis issue proposes adding an example to demonstrate template fragment caching in Wagtail, as outlined in the Wagtail documentation: https://docs.wagtail.org/en/stable/topics/writing_templates.html#template-fragment-caching
**Proposal:**
- Add a new template or modify an existing one in bakerydemo that clearly implements Django's `{% cache %}` template tag for fragment caching.
- Optionally, provide a comparison or explanation in the README or as code comments about the benefits of template-level caching for performance.
- Ensure the implementation follows best practices as recommended in the Wagtail documentation.
**Acceptance criteria:**
- A visible example of template fragment caching is present in the demo site.
- Documentation or comments clarify how to use and extend this feature for real projects. |
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When splitting screen and reviewing the drafted issue it is unclear on how to modify / talk with copilot as the chat pane is hidden. Until making the window full screen I didn't realise there was a chat pane available |
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The interface seems to be stuck in a loading state. Although it responds to other messages or actions, the main content doesn't load properly. This feature is really useful, but unfortunately, it's not working as expected right now. I hope this can be fixed soon. |
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After create a full IA Driven markdown document including all details for every issue, it creates the issues correctly using the Claude Sonet 4. It also included more information and details for development all related to the planning. Amazing! The gpt's (anyone) creates poor issues. And even after request change it, it didn't changed anything. Guys... Just use Sonnet 4. Justing adding that the issue was created with copilot and it already started working on it! 😮 |
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When I created an issue, it used template "Report a bug". It wasn't a bug so I checked the templates and didn't know which to pick, there was no "blank option". From there, two things happened that weren't ideal:
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To help you create higher quality issues with greater ease, you can now create issues by chatting with Copilot. This experience is currently in public preview.
Key Features
Still to come...
As this experience is in public preview, you may run into some bugs and missing features (let us know when you do). Some of areas we are working on include:
Try it out
To get started, go to https://github.com/copilot and try a prompt like …
Feedback
We want to hear from you! Post your comments, questions, likes, and dislikes below.
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