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📰 Dev.to · Christopher Maher

14 articles · Updated every 3 hours · View all reads

All Articles 185,014Blog Posts 167,851Tech Tutorials 49,532Research Papers 35,896News 22,818 ⚡ AI Lessons
Trust the harness, not the model: a weekend of local agents building their own guardrails
Dev.to · Christopher Maher 🤖 AI Agents & Automation ⚡ AI Lesson 3mo ago
Trust the harness, not the model: a weekend of local agents building their own guardrails
Cross-posted from the LLMKube blog. A local 27B coding model, running on hardware in my house, is...
Making a fleet of self-hosted LLM agents trustworthy
Dev.to · Christopher Maher 🧠 Large Language Models ⚡ AI Lesson 3mo ago
Making a fleet of self-hosted LLM agents trustworthy
Running one local LLM node is easy. Running a fleet of them, off-cluster, and trusting it to stay current and stay honest, is the hard part. This is the work th
TurboQuant on a MacBook Pro: two findings the upstream discussion missed
Dev.to · Christopher Maher 🧠 Large Language Models ⚡ AI Lesson 4mo ago
TurboQuant on a MacBook Pro: two findings the upstream discussion missed
Built TheTom's TurboQuant fork of llama.cpp for Metal, ran the bench overnight on M5 Max, and surfaced two findings the upstream community thread didn't have: t
62.2% on Aider Polyglot from a MacBook Pro. Then the other model we tried scored 4%. Here's what actually happened, with a working cost loop attached.
Dev.to · Christopher Maher 🧠 Large Language Models ⚡ AI Lesson 4mo ago
62.2% on Aider Polyglot from a MacBook Pro. Then the other model we tried scored 4%. Here's what actually happened, with a working cost loop attached.
Qwen3.6-35B-A3B Q8 on a MacBook Pro M5 Max scored 62.2% on Aider Polyglot, beating Claude Sonnet 4 with 32k thinking. Then Devstral 2 scored 4% on the same harn
We ran Qwen3.6-27B on $800 of consumer GPUs, day one: llama.cpp vs vLLM
Dev.to · Christopher Maher 🧠 Large Language Models ⚡ AI Lesson 5mo ago
We ran Qwen3.6-27B on $800 of consumer GPUs, day one: llama.cpp vs vLLM
A Kubernetes-native bake-off on 2× RTX 5060 Ti, with reproducible manifests and a cost-per-token number neither cloud nor OSS FinOps tools will tell you.
I tested speculative decoding on my home GPU cluster. Here's why it didn't help.
Dev.to · Christopher Maher 📐 ML Fundamentals ⚡ AI Lesson 5mo ago
I tested speculative decoding on my home GPU cluster. Here's why it didn't help.
I spent Saturday night testing n-gram speculative decoding on consumer GPUs. The claim: speculative...
Google Released Gemma 4 Yesterday. I Had It Fixing Real Bugs by Lunch.
Dev.to · Christopher Maher 🛠️ AI Tools & Apps ⚡ AI Lesson 5mo ago
Google Released Gemma 4 Yesterday. I Had It Fixing Real Bugs by Lunch.
Google released Gemma 4 yesterday. By the time I went to bed, I had it deployed on my home lab,...
I Tested TurboQuant KV Cache Compression on Consumer GPUs. Here's What Actually Happened.
Dev.to · Christopher Maher ☁️ DevOps & Cloud ⚡ AI Lesson 5mo ago
I Tested TurboQuant KV Cache Compression on Consumer GPUs. Here's What Actually Happened.
I spent this weekend testing TurboQuant KV cache compression on my home lab Kubernetes cluster. The...
The $0 Problem: Why Every Tool Says Your On-Prem Inference is Free
Dev.to · Christopher Maher 🧠 Large Language Models ⚡ AI Lesson 6mo ago
The $0 Problem: Why Every Tool Says Your On-Prem Inference is Free
If you run LLMs on your own hardware, every cost tracking tool in the ecosystem has the same answer...
llama.cpp on Kubernetes: The Guide I Wish Existed
Dev.to · Christopher Maher 🧠 Large Language Models ⚡ AI Lesson 6mo ago
llama.cpp on Kubernetes: The Guide I Wish Existed
It started at my kitchen table. I was spending an evening on my laptop, fascinated by how LLMs...