A collection of 33 posts
Eight free local LLM runners ranked for 2026, with a decision tree, VRAM math for 7B to 200B models, and notes on the Apple Silicon and open-weight wave that made laptop-class frontier AI real.
Honest 2026 review of the best free and paid GitHub Copilot alternatives after the June 1 token-billing change. Continue.dev, Cline, Codeium/Windsurf, Aider, Tabby, Cursor, Claude Code and more.
Pramp cut free credits to 5/month. Interviewing.io charges $179+ per session. Here are the AI mock interview platforms still worth using free in 2026.
Quick answer. Gemini CLI is Google’s open-source terminal AI agent. Install it with npm install -g @google/gemini-cli on Node 20+, run gemini, and sign in with your Google account in the browser. The free tier covers 60 requests per minute and 1,000 per day with Gemini 2.
Quick answer. Cherry Studio is a free, open-source desktop client (Mac, Windows, Linux) that gives you one chat interface for OpenAI, Anthropic, Google Gemini, DeepSeek, Mistral, Qwen and local Ollama or LM Studio models. Install it from cherry-ai.com or GitHub Releases, paste your API keys in Settings → Model Providers,
A practical guide to Wingman, Codersera's invisible AI copilot for Mac. What it is, who it's for, how it fits a real interview workflow, and the day-in-the-life of an engineer using it under pressure.
Claude Code's source is now public on GitHub. This guide covers what the OSS release actually means, every install method, project configuration, BYOK via LiteLLM, and power-user tips for MCP servers and GitHub Actions.
Most comparisons treat OpenClaw, LM Studio, and Ollama as rivals. They're not — they're three layers of a local AI developer stack. Here's how to choose and configure the right combination for your hardware and workflow in 2026.
Learn how to install Void AI, the open-source Cursor alternative, and run it with local models via Ollama or LM Studio — with zero cloud dependencies.
A technical comparison of Void AI and Cursor covering privacy architecture, local model support, feature parity, pricing, and the development pause that changes Void's long-term outlook.
Mochi 1 normally needs 22+ GB VRAM, but with CPU offloading, VAE tiling, and 8-bit quantization you can run it on consumer hardware. Full Python code for each technique.
Sora's API is shutting down, Runway charges at scale, and Mochi 1 has quietly caught up on quality. Here's the practical comparison for developers building video pipelines.
Mochi 1 by Genmo is a 10B open-source text-to-video model with Apache 2.0 licensing. This guide covers VRAM requirements, three install paths, and working Python diffusers examples for local video generation.
Qwen3-VL-4B handles multilingual OCR, GUI automation, long-video understanding, and visual coding on consumer hardware. Practical Python examples for all four use cases.
A complete developer guide to loading and running Qwen3-VL-4B locally using the HuggingFace Transformers library — including quantization, multi-image inputs, and video frame inference.
DeepWiki turns any GitHub repo into an AI-queryable wiki. These practical workflows and query patterns cut codebase onboarding from hours to minutes.
DeepWiki automatically generates wiki-style documentation for any GitHub repository using AI — here's how it works, when to use it, and its real limitations.
DeepWiki turns any GitHub repo into a structured, interactive wiki in seconds. This guide covers the URL trick, AI chat, Deep Research Mode, MCP server config, private repo support, and the open-source self-hosted alternative.
Learn how to install and run OpenClaw 2026.3.22 locally, with setup steps, benchmarks, comparisons, and pricing overview for self-hosted AI agents.
Learn what Nvidia NemoClaw and OpenClaw are, how the secure OpenShell sandbox works, and how to run OpenClaw agents on local vLLM models.
Set up Qwen3.5 with Claude Code as a free local AI coding agent. Learn install steps, benchmarks, pricing, comparisons, and real‑world tests in this updated 2026 guide.
Discover the 10 best AI tools for small business growth in 2026. See real use-cases, pricing, comparisons, and how to build your own “AI team” step-by-step.
Master GLM-Image with our comprehensive 2026 guide covering installation, VRAM requirements, CVTG-2K benchmarks, pricing at $0.015/image, and detailed comparisons with FLUX, Midjourney, and DALL-E 3.
Compare the top 10 AI coding tools 2026: GitHub Copilot, Claude AI, Cursor & more. Real testing data, pricing, pros/cons, and performance metrics inside.
Quick answer. Qwen3-VL-8B Instruct and Thinking share the same 9B Apache 2.0 backbone and differ only in post-training. Pick Instruct for high-volume OCR, chatbots, and production pipelines at roughly 45-60 tok/s on a 4090. Pick Thinking for STEM, medical, legal, or mockup-to-code tasks where the 2-4 point benchmark