Odd that AWS Bedrock has very poor support for such models. They only have Kimi 2.5, qwen 3 coder, DeepSeek V3.2, GLM 5. So none of the newer models.
Kimi K2.7 Code is generally available in GitHub Copilot
161–170 of 201 posts
Re: Kimi K2.7 Code is generally available in GitHub Copilot
#162Earlier quoted context omitted.
Made an account to semi-disagree with you, haha! I have to advocate for the vibe-coded mess-colony. There are applications where it either works or it doesn't, and it's simultaneously obvious whether it does. Think stock price prediction software. I've killed time in the evenings verbally chatting with agents about that specifically, and what emerged worked! It didn't work well, but it clearly outperformed randomness…
You couldn't have possibly verified that. Stock prediction based on what? What's your sample size over what period of time? Using what indicators? how far is your lookback?
This was a toy that I made.
Are you familiar with the concept of a Markov Chain? (If not, it's a simple tool that technically works better than randomly guessing for predicting stock movement.) I designed a very intense neural network meta-architecture, applied it, and the results were the same as if I'd used a basic Bayes model or Markov Chain. Which is a little humorous; I very much used a bulldozer to sweep the garage.
I used close minus open to determine up vs. down movment. Can't remember the lookback, but was predicting the immediate next day. Over the entire US market, a basic Markov-based model can predict the next day 52.5% of the time or something like that. (Given 1000+ stocks, you guess which direction all will go, 52.5% will be correct guesses.)
For what it's worth, I don't really know the details of the statistical tools. I do have a good grasp of train/test/validate sets, so I know what my results meant.
Re: Kimi K2.7 Code is generally available in GitHub Copilot
#163Odd that AWS Bedrock has very poor support for such models. They only have Kimi 2.5, qwen 3 coder, DeepSeek V3.2, GLM 5. So none of the newer models.
[dead]
Re: Kimi K2.7 Code is generally available in GitHub Copilot
#164damn
Re: Kimi K2.7 Code is generally available in GitHub Copilot
#165Odd that AWS Bedrock has very poor support for such models. They only have Kimi 2.5, qwen 3 coder, DeepSeek V3.2, GLM 5. So none of the newer models.
Wonder if this is a product decision or rather a limitation on GPUs. Their Inf2 instances require AWS Neuron [1]. Maybe porting models to run on their hardware takes too much time.
Re: Kimi K2.7 Code is generally available in GitHub Copilot
#166Is GitHub Copilot the best positioned platform for enterprise? They support Claude, GPT, Gemini, and now even open weight models. Larger orgs are paying at API rates anyway so it costs just as much as anywhere else. They have a pretty good agent CLI and SDK, and now a desktop app. They have hosted agents, and you can run their 'Agentic Workflows' in CI. Has their reputation tanked so much that the alternatives get al…
We just cancelled everyone's plans and rolled liteLLM out internally. We kept it for the insanely cheap tokens, but now that they've switched to the new pricing, they're just like openrouter, just with far fewer models.
There is literally no more reason to use their service. I don't need a monthly expiring token pool drained at API pricing which I can get from any provider.
Re: Kimi K2.7 Code is generally available in GitHub Copilot
#167Gotta say, I've lost all interest in cloud-based AI products. Too many cool features and workflows that I was once excited about that I can't or don't use anymore for a variety of reasons (price hikes, subjectively nerfed, disappeared altogether, replaced,...) for me to even remember. It's tiring. I've set up a small rig, mostly settled on Qwen3.6 and I'm slowly adding features myself. It probably can't compete with…
[dead]
Re: Kimi K2.7 Code is generally available in GitHub Copilot
#168Earlier quoted context omitted.
i ran out of claude credits for the first time at work in months and had to fallback to copilot. pleasantly surprised, claude's way ahead in tooling but the ability to designate what model your subagents use and having access to all models is a better feature than all of what claude offers combine atm. The only limit on the amount of ai can consume in a month a work is dollars, so anything that helps with cost is the…
You can tell Claude Code which model to use for subagents. For example: https://github.com/monooso/dotfiles/tree/main/.claude/agents
i can tell claude to call haiku or sonnet.
in copilot i can could pass all my automated browser testing to 3.5 flash, could use dirt cheap models for simple tool that were better than claude.
i'd just use open router but @work we only have copilot and claude
Re: Kimi K2.7 Code is generally available in GitHub Copilot
#169Earlier quoted context omitted.
Understated how much of a boon for Linux that AI development has been. There isn’t any benefit to running a windows machine.
Au contraire, I run models on WSL and my desktop reliably wakes up from sleep. Best of both worlds.
Watch out for VRAM/RAM. When programs on WSL tired to take more than there was available it was crashing my WSL hard and even corrupting files on the virtual drive attached to WSL in a very strange manner that made recent files just disappear. I had at leat two projects that had to be rebuilt from past conversation with AI because all their files were gone after few crashes.
I asked codex to write WSL config to prevent crashes. It put some limits on WSL and the situation stabilized, but I lost all trust for WSL anyways.
Re: Kimi K2.7 Code is generally available in GitHub Copilot
#170Earlier quoted context omitted.
Au contraire, I run models on WSL and my desktop reliably wakes up from sleep. Best of both worlds.
Watch out for VRAM/RAM. When programs on WSL tired to take more than there was available it was crashing my WSL hard and even corrupting files on the virtual drive attached to WSL in a very strange manner that made recent files just disappear. I had at leat two projects that had to be rebuilt from past conversation with AI because all their files were gone after few crashes. I asked codex to write WSL config to preve…
What are the config settings you needed?
TIA