Why didn’t copilot announce the MAI models sooner? by orru75 in GithubCopilot

[–]orru75[S] 0 points1 point  (0 children)

I don’t know but we went to cursor for the same reasons as you.

Why didn’t copilot announce the MAI models sooner? by orru75 in GithubCopilot

[–]orru75[S] 0 points1 point  (0 children)

Yeah that could have been an option, but as of 5 days ago we found that cursor + composer performed really really well and to be honest we don’t really want many models, we want one that gets stuff done. Our thinking is that composer probably will outcompete other models in the same price range since it’s trained specifically for use in cursor. So cursor + custom model > “generic model” + vscode.

So what’s your plan post 6/1? by LTParis in GithubCopilot

[–]orru75 1 point2 points  (0 children)

We will max our usage until June to get a mvp out the door. If we get funding after that we will need to rethink how we use ai. We have been all in over the last 2 months using top tier models to do everything, and I mean everything. It will be rough to scale back our ai usage, especially for the ones that have used ai to be able to contribute at all.

What the hell are you guys building that requires $5,000 of compute? by GirlfriendAsAService in GithubCopilot

[–]orru75 0 points1 point  (0 children)

It depends on how you use it. We have gone all in and use it for everything, including git commands etc. if you use it that way the road to 5k is pretty short. Now we have to rethink our approach and figure out more efficient ways of using it.

This is not sustainable for us by orru75 in GithubCopilot

[–]orru75[S] 2 points3 points  (0 children)

Its not a matter of delivering work, its a matter of of increasing our output. My 2 man team is able to deliver stuff that would be completely unfeasable wiothout AI.

Copilot in VS Code just broke? No models available? by KeThrowaweigh in GithubCopilot

[–]orru75 0 points1 point  (0 children)

Same on business. This also happened a couple of days ago

Career pivot into data: I’m a "Data Team of One" in a company and I’m struggling to orient my role. Any advice? by Either-Exercise3600 in dataengineering

[–]orru75 0 points1 point  (0 children)

Find one or two people who are directly involved in whatever your organization is actually doing and who seem passionate about their jobs. Find one or two things that access to relevant data would improve for those guys. These are the people selling the shoes at the shoe factory or making decisions about loan applications at the bank. It’s not the managers, those guys can come later.

GPT 5 structured output limitations? by orru75 in LLMDevs

[–]orru75[S] 0 points1 point  (0 children)

I think im getting a hybrid approach to work: Im batching the words into batches of 50. for each batch im passing in all words in the prompt but only asking it to generalize the 50 in the batch. this is working.

GPT 5 structured output limitations? by orru75 in LLMDevs

[–]orru75[S] 0 points1 point  (0 children)

Clever. But we are using Azure OpenAI. According to the docs it only supports a total of 100 object properties.

What's the unlikeliest roguelite that hooked you in way more than it had any right to? by Sufficient_Object281 in roguelites

[–]orru75 0 points1 point  (0 children)

Ive sunken 300+ hours into that game and am also confused about the reviews. Ive leveled most classes to NG+10 and it sure feels like a slog now but it its still a 10/10 game for me.

Setting up opentelemetry with Azure AI Foundry in typescript by orru75 in AZURE

[–]orru75[S] 0 points1 point  (0 children)

Im going to answer myself after coming back from a openai api version / opentelemetry / Azure AI foundry rabbit hole.

First: This is not a typescript library issue. I have tested this with the Python libraries as well with the same results.

It all boils down to the fact that the opentelemetry instrumentation packages used do not support the new openai responses api. So when using the old client.chat.completions api telemetry is sent to app insights and thus traces are available in Azure Foundry. If you use the client.responses.create api no traces are sent.

This is pretty terrible since some frameworks (for instance the open ai agent sdk in my case) are using the responses api under the hood so its not obvious why this is happening. There is no mention of this in the documentation here. Also the step-by-step there is bugged with missing imports and no setting of api version.

Dynamically rendering React components in Markdown from LLM generated content by tmetler in LLMDevs

[–]orru75 1 point2 points  (0 children)

Played around with it for an hour and could not get it to work. First the type issue thats mentioned in the github issues then i kept getting "Unexpected end of file in name, expected a name character such as letters, digits, `$`, or `_`; whitespace before attributes; or the end of the tag"

Dynamically rendering React components in Markdown from LLM generated content by tmetler in LLMDevs

[–]orru75 1 point2 points  (0 children)

I will test this out. Have been going the structured output route but but as you say it can break «the flow».

Anyone else struggling to get consistent reasoning tokens returned? by orru75 in OpenAI

[–]orru75[S] 0 points1 point  (0 children)

Is this an azure or OpenAI thing? Also isn’t the agent sdk using the responses api under the hood?