(07) Topic

Local AI

10 posts on Local AI. Self-hosted AI you actually run: Ollama, Open WebUI and the tooling that keeps your prompts and data on your own hardware.

012026-06-18Start hereOllama: The Engine Behind Local AIOllama has turned running large language models on your own hardware into a single command. Explore the architecture, performance characteristics, and engineering tradeoffs that make local-first AI a serious alternative to cloud APIs in 2026.022026-06-19Cline: The Open-Source AI Coding Agent Redefining Developer WorkflowsCline brings autonomous, context-aware AI coding directly into VS Code and your terminal. Explore its architecture, Plan/Act modes, local LLM integration with Ollama, and why it stands out in the 2026 AI developer tooling landscape.032026-06-21Open WebUI: The Missing Interface for Local AIOllama gives you the inference engine. Open WebUI gives you everything else — conversation history, document RAG, multi-user access control, voice, image generation, and a pipeline system for custom Python logic. This is how you turn a local model into a complete AI platform.042026-08-12Your AI Tools Are Spying on You. Here’s the Fix.Most popular AI chatbots log your prompts, keep them for months or years, and by default use them to train the next model. The fix is simple: run powerful models completely offline on your own machine. Here’s exactly how to do it without sacrificing quality.052026-08-29How to Fix Cline's Most Common Errors (And Why They Happen)From a crashing extension host to a rate-limit wall at the worst possible moment, Cline's errors almost always trace back to one of nine root causes. Here's how to diagnose and fix every one of them, and why they happen in the first place.062026-09-03How to Choose the Right AI Model for Cline (And Stop Wasting Money on the Wrong One)Cline connects to over 30 model providers, and the single most common question new users ask is which one to actually pick. The honest answer isn't a leaderboard — it's a framework. Here's how to match a model to the task in front of you, configure Plan and Act separately, and stop burning budget on premium reasoning for work a cheap model handles just fine.072026-09-05How to Fix Ollama's Most Common Errors (And Why They Happen)From 'address already in use' the moment you type ollama serve to a model silently running on your CPU instead of your GPU, Ollama's errors almost always trace back to one of nine root causes. Here's how to diagnose and fix every one of them, and why they happen in the first place.082026-09-10OpenAI Just Cut Off Cursor. What This Means for AI Coding in 2026OpenAI is ending its model partnership with Cursor after SpaceX’s $60 billion acquisition. The November 12, 2026 cutoff is more than a contract dispute — it signals a permanent realignment of power in AI coding tools. Here’s the full timeline, what developers actually lose, the rise of Anthropic and local alternatives, and how to future-proof your stack before the switch.092026-09-12Stop Paying for AI Coding Agents: The Open-Source Alternatives That Actually Work in 2026Cursor, Claude Code, and similar tools are excellent — and expensive once you scale. In 2026 a set of mature open-source agents (OpenCode, Cline, Aider, OpenHands, Continue) deliver comparable agentic workflows with full model choice, local inference, and zero subscription lock-in. Here is the practical map of what actually works, what still lags, and how to switch without losing productivity.102026-09-16Qwen3.8 vs Kimi K2.7 vs Gemma 4: Which Local Coding Model Fits Your GPU?Qwen3.8-27B, Kimi K2.7 Code and Gemma 4 dominate the open-weight coding conversation in 2026, and they target completely different hardware. One fits a single 24GB GPU, one needs eight of them, and one scales down to a phone. Here is the memory math, the quantization trade-offs, the vendor benchmark caveats, and a tier-by-tier recommendation you can act on today.