A tutorial by Rachel Goldstein explains how to set up a fully local AI coding environment in VS Code using Qwen2.5-Coder models (1.5B and 7B) run through Ollama and the Continue extension, enabling pr…
A developer compared Qwen2.5-Coder and DeepSeek-Coder for Solidity smart contract review, running both models locally via Ollama on WSL2 at 7B and below. The developer found that Qwen2.5-Coder followe…
Alibaba's Qwen2.5-Coder 32B outperforms Meta's Llama 3.1 70B in code generation tasks, delivering 35 tokens per second versus 12 tokens per second and a 2.1-second time-to-first-token compared to 4.8 …
Running Qwen locally via Ollama or vLLM with a local Python environment avoids cloud data exposure and token limits, enabling iterative work on large datasets. Qwen2.5-Coder (7B) on an RTX 3090 genera…
A community analysis of local AI coding agent performance identifies several optimization settings for Ubuntu users running llama.cpp/SYCL with dual Intel Arc Pro B70 GPUs and the Qwen3.6-27B model. K…
A developer who tried Cursor, Copilot, and Windsurf deleted them all in favor of MonkeyCode, an open-source AI coding platform that runs locally and never sends code to the cloud. The developer report…
A developer set up a local AI coding agent using Ollama on Windows and Aider inside Ubuntu on WSL2, running the Qwen2.5-Coder model entirely on the local machine without a dedicated GPU. The architect…
Developers are increasingly switching to local LLMs for coding tasks, with two Hacker News threads (1,260 and 1,350 points) confirming local models are now viable. The guide compares self-hosted infer…
Regentix, a policy enforcement gateway for LLM tool execution, uses Rego-based governance to intercept and validate MCP requests from clients like Claude Desktop before execution. The system combines …
A developer provides a formula for estimating RAM requirements to run large language models locally, explaining that a 7B model at Q4 quantization needs roughly 4.2GB plus overhead. Benchmarks show th…
This article provides a step-by-step guide for developers to set up a private, offline AI coding assistant on a standard laptop (8GB or 16GB RAM) without a dedicated GPU. The setup uses Visual Studio …