Comment by Aurornis
7 days ago
For personal use I agree.
For companies, these decisions are very sticky. Companies go through a lot of red tape to get anything purchased and approved, then they discourage change because it's a lot of work.
So the product that gets a foothold in a company sticks for a long time.
Then a couple years later a sales person convinces an exec that they can save some money by switching, so the switching game begins. Not necessarily motivated by the better product, mostly the price. My wife's company keeps switching their tools out from under everyone every year or two. Just when they get everything stabilized and everyone familiar with the new tool, some new contract is signed that moves them all to some other company's suite.
I'm confused, I work at a big giant Fortune 500, we all get GitHub Copilot subscriptionsn - we can switch between OpenAI and Anthropic models with just a click in Visual Studio. There's no stickiness at all. They just made us go through a training after the price hikes about how to choose between models for the best cost/benefit ratio.
The models are not what is being discussed here, it is the harnesses. That is, Claude Code, Codex, and what you use, GitHub Copilot. I suspect there would have to be strong reasons for your Fortune 500 company to switch away from Copilot.
Similarly, I have made no ground in arguing to try to get Codex at the company I work for, which got Claude Code a year ago and sees no reason to go through the whole process of setting up any alternatives when Claude Code already works and is at the frontier.
claude code is free to use, you can use claude code with any non-anthropic model, so harness stickiness doesn't benefit the AI labs at all.
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GitHub Copilot is the sticky product in your org.
You can choose a selection of different models within it, but you're not using Codex or Claude Code.
Not sure about Codex but Claude Code works with Github Copilot and can even work with open source models like Kimi/Deep Seek.
We too use GH Copilot in our enterprise. OpenCode works flawlessly with GH Copilot subscription if you don't prefer VS Code.
Same here, except we just defaulted everyone to Auto and expect the percentage of tokens spent via the auto router to be high.
GitHub Copilot and Visual Studio are the sticky products for your company.
Companies have learned their lessons on stickiness with cloud providers. Every enterprise has a multi-provider strategy now.
Every company that I've worked with that provided models internally did so through LiteLLM and offered both Anthropic and OpenAI models so it was trivial to switch between them.
Most companies just get you a Claude team sub and maybe a couple of skills.
We only get Copilot. I’m not very happy.
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The parent poster is almost certainly talking about inference within workflows and not for interactive coding agents.
I like all the different comments in this thread saying that most companies do X, where X is a different answer from each person: LiteLLM, GitHub Copilot, Claude Code.
I imagine the play here is going be connectors. Can you get slack to avoid integrating with anyone other American ai providers, same with Google suite, etc etc.
It's almost trivial to create a custom Slack application wrapping your desired harness running in a container on your organization's k8s cluster. Likewise with MCP support. These are already open.