Vicki Boykis
Person on 4 sites
Vicki Boykis is a founding machine learning engineer at a startup working on recommendations, personalization and search.
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5 facts on wiqqi (opens wiqqi.app)
- Work: Founding machine learning engineer at a startup (as of November 2026) (opens wiqqi.app)
- Before: Mozilla.ai (LLMs and LLM infrastructure); Duo, Tumblr, Automattic, Comcast (opens wiqqi.app)
- Writing: What are embeddings? (paper); technical editor of Building Recommendation Systems (opens wiqqi.app)
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2 channels on ppll (opens ppll.app)
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Site: vickiboykis.com (opens vickiboykis.com)
“Slides on retrieval and ranking with ONNX inference”
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GitHub: github.com/veekaybee (opens github.com)
“veekaybee — About”
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Site: vickiboykis.com (opens vickiboykis.com)
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12 beliefs on korrents (opens korrents.com)
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A feature added to a codebase is extremely difficult to remove once other code is built on top of it. (opens korrents.com)
“An app feature, once added to a codebase, can be extremely hard to remove.”
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Deleting code goes unrewarded in software careers, which is part of why teams keep shipping new features instead of removing old ones. (opens korrents.com)
“Deleting code is hard, particularly because it's a thankless task that usually doesn't go on promo packets, which is why we end up shipping hundreds of thousands of lines of sparkle emoji magic wand AI features, but…”
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As AI makes it easier to generate code, teams must delete code more aggressively or be overwhelmed by accumulated complexity. (opens korrents.com)
“But in this new era, we must delete code even harder, because if we don't constantly remove complexity, we are going to drown in generated kudzu slop that overtakes codebases.”
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A feature added to a codebase is extremely difficult to remove once other code is built on top of it. (opens korrents.com)
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19 recommendations on rcmnd (opens rcmnd.app)
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LM Studio (opens rcmnd.app)
“For my local setup, I'm currently using Pi as the agent harness and LM Studio as the inference server”
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pi (opens rcmnd.app)
“For my local setup, I'm currently using Pi as the agent harness and LM Studio as the inference server”
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gemma-4-26b-a4b (opens rcmnd.app)
“I've so far been using gemma-4-26b-a4b LM Studio implementation as my default local model.”
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LM Studio (opens rcmnd.app)