AI
MCP 2026-07-28 Migration Guide: Stateless Core, Auth, and Compatibility Checks
An unperformed MCP migration test plan for exact client, gateway, SDK and server combinations. Check protocol compatibility, denied access and multi-instance behavior with disposable data, while separating protocol statelessness from application state and authorization.
Minimum Viable Evals for Technical AI Workflows
A practical AI evals guide for testing prompts, RAG, coding assistants, config review, assertions, Ragas, promptfoo, and regression checks.
Open WebUI Security Baseline: Patch, Isolate, And Test Tool Permissions
Assess Open WebUI patch scope and ordinary-user access to chats, files, retrieval collections and tools. Test backend denials separately from visible interface controls, using synthetic data and harmless actions.
Nemotron and Agentic Local AI
Evaluate a specific Nemotron checkpoint against memory and runtime support, then start agent experiments with read-only tools, scoped credentials, logged calls, and approval for changes.
Local Coding Assistants: Codex CLI, Continue, Aider, and OpenHands
Compare Codex CLI, Continue, Aider, and OpenHands by workflow, model support, permissions, and recovery; evaluate scoped tasks in a disposable repository before granting broader access.
Build a Private RAG Box for Network Docs
A private RAG guide for network documentation, configs, diagrams, NetBox exports, runbooks, embeddings, vector search, citations, and evals.
Adding RAG: Chat with Documents Locally
A beginner-friendly guide to local document chat, embeddings, vector databases, Open WebUI knowledge bases, privacy, and common RAG mistakes.
Local AI Hardware Sizing: CPU, NPU, GPU, RAM, and VRAM
A local AI hardware sizing guide explaining model memory, quantization, KV cache, CPU-only use, NPUs, GPUs, RAM, VRAM, and upgrade tiers.
Home AI Hardware Levels: A Beginner's Guide to the PC You Need
A plain-English guide to choosing hardware for a home AI setup, from using an old PC to building a serious GPU workstation.
Local AI Models Explained: Gemma, Llama, Qwen, Nemotron, Phi, DeepSeek, and More
Decode local model names, quantization, context, and memory requirements, then compare exact checkpoints on your own tasks rather than choosing by family name or advertised size.