What they wanted was for them to use both and feedback which was better.
The developers voted with their feet and didn’t use Copilot.
What Microsoft were hoping was that the opposite would happen...
What they wanted was for them to use both and feedback which was better.
The developers voted with their feet and didn’t use Copilot.
What Microsoft were hoping was that the opposite would happen...
Underlying model choice still has no restrictions. Opus 4.6 is by far the most popular. there's still big $$$ bills going anthropic's way.
I had far more hallucinations with 4.7 than 4.6.
I'll try it again after a few more months for them to get it right, but 4.6 is what changed my mind on LLMs as a tool, and 4.7 felt like a step backwards, so for now I'm sticking with something that has delivered me value, instead of arguing with a model ostensibly better that was making shit up 1 - 2 times a day. It was really disappointing.
I can give examples if needed, I screenshotted the most aggravating ones, but what worries me is which ones I didn't recognise.
4.7 IMO is around 10-20% worse at understanding your prompt intention. You need more effort to explain your intention clearer so it doesn't divert.
Although GPT's been acting weird since Thursday...
I've spent the last couple of days building Swift bindings to a monster CPP lib and I've actually had fun.
Personally, I looked into Copilot's prompt and saw things that made me put it down immediately to start working on my own. I'm now using OpenCode for reasons and I like it better than any Big Ai tool. Using OC with Qwen3.6-MoE (for context) and generally happy with the results.
And you get a token based pricing since June 1.
This was true in January -- since then, the Copilot CLI team has spent countless hours with engineering leaders and the biggest Claude Code users at the company to understand Copilot's shortcomings, define evals to properly test them head-to-head, and close the gap between the products.
The result? Claude Code usage was organically decreasing and Copilot CLI usage was organically increasing -- when this announcement was made, internal Copilot CLI usage had been greater than Claude Code usage for weeks!
Honestly I find GitHub Copilot CLI (and now also the new GitHub Copilot app) quite decent. I mostly use it with Opus 4.7, or rarely with GPT-5.5. The VSCode extension is ok, but CLI or app are the better experience IMO.
At the moment it seems like the way it's been trained has been tightly coupled with grep.
It does feel bizarre though that it doesn't use the symbol servers.
Especially if you want effective results.
All I can say is I know because I know. There's been some "synergizing" among the corporation about the CLI team running off to do their own thing and adding features to the CLI that amount to trying to force a Terminal to act like a GUI.
https://code.visualstudio.com/docs/copilot/reference/workspa...
MS thinks CoPilot is the Clark Griswold of LLMs when it's really Cousin Eddie...
These days I just use Claude Code Desktop or Claude Code in powershell. Standalone, not inside and IDE. Honestly, I'm using Desktop more and more as it gets more features.
The IDE is for me. No AI in it at all. If I want to get Claude to do something specific to a file I just @ the file.
if your response is "my prompts don't produce code that needs values flipped, ever." then I would wager you're only touching very simple things with an LLM.
for me I don't care about the token cost and prompt writing so much as the fact that it's just faster to change 0 to 1 and leaves me twiddling my thumbs for an llm output less.
Obviously you want to be aware of what else is on the market, and use the right tool for the job -- but equally if you have a directly competing product, you'd prefer your org's telemetry and suggestions are directed towards improving your own software rather than your competitors'.
Compared to working at other big techs, where I was able to direct msg the engineers on the team for internal protobuf or datalake services in addition to user groups that were generally responsive it was just strange. Also Microsoft doesn't have a monorepo so you can't just commit patches to their service because you don't have access to their repos which I pretty regularly do elsewhere.
Technically we're using Copilot and we're playing for it through Microsoft licenses, but it's using Opus 4.7. Even before this, most of our custom agents within m365 copilot were one of the GPT models.
Or maybe you're right and they want their developers to use the copilot models.
There's a large (and growing!) contingent of people who don't write code these days. (Many don't even use the keyboard.)
I think Kiro might have some “first mover” advantage internally, but CC feels better to use.
GitHub Copilot is in a somewhat similar place as Microsoft's toy but still different -- it was more or less the first coding agent/assistant, and GitHub/VSCode/Microsoft has enough user base and impact to influence individual users and enterprises' choices.
For Amazon's coding agent -- I just never see anyone outside Amazon even mentions Kiro or Amazon Q. Maybe a little bit when Kiro was offering tons of free credits. But I don't think it's even remotely relevant these days. I don't see news about companies adopting Kiro.
To me, it's just a matter of time before they are sunset, like Chime or a bunch of AWS products.