Vicki Boykis

I’ve been able to so far bump the context window to 75% of max but ill probably run into the same issue and will want to check out stuff like this arxiv.org/abs/2606.06492

Code2LoRA: Hypernetwork-Generated Adapters for Code Language Models under Software Evolution arxiv.org

new post: how I develop recently using local models. the tooling is now good enough to do agentic workflows and everyone should give them a try! vickiboykis.com/2026/06/15/r...

Running local models is good now vickiboykis.com

New post: Tagging my blog with BERTopic and LLMs. I suspect as token costs increase, we'll see more blended traditional ML/LLM systems. And, in general, they work really well! vickiboykis.com/2026/05/18/t...

Tagging my blog posts with BERTopic and LLMs vickiboykis.com

like, discuss.python.org/t/using-exce...

Using ExceptionGroup at Anthropic (experience report) discuss.python.org

Something happens to my brain after agentic coding that I can’t describe. It’s like cognitive offloading which folks have already written about, but even more. It feels like I can’t think through problems anymore. Like a fog. Using agentic but losing my hard-won agency.

the actual most revolutionary thing the ai labs have actually done is make it look like it's insanely easy to duct tape together python microservices with all their concurrency issues and trained models with all their transformers issues and have them run as one api call

Area woman continuously working in recsys more and more convinced that most ML problems are recsys problems

Curious about people’s ML dependency management strategies in the face of supply chain risks. Often pinning dependencies particularly in the torch/HuggingFace ecosystem is the only way to create reproducible training and inference code but that means dependabot isn’t happy.