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Tag: ai

All the articles with the tag "ai".

Stop Feeding the AI Your Whole Repo

Stop Feeding the AI Your Whole Repo

Comparing context-mode, code-review-graph, token-savior, and claude-context, MCP tools that stop AI coding agents from reading your whole codebase blind.

RTK vs snip vs lean-ctx: Token Killers

RTK vs snip vs lean-ctx: Token Killers

RTK, snip, and lean-ctx filter your AI coding agent's output before it burns context tokens. I run RTK daily, here's the one I'd actually switch to.

AI Swarm Audited My 840-Post Blog

AI Swarm Audited My 840-Post Blog

I pointed a parallel swarm of AI agents at 840 technical posts to fact-check and refresh them, the architecture, the token bill, and the guardrails.

Claude Code in a Homelab Workflow

Claude Code in a Homelab Workflow

Claude Code puts an agentic AI assistant in your terminal for real homelab work, compose files, bash, Ansible, systemd. The honest take on cost and data.

Self-Host a Local AI Coding Workhorse

Self-Host a Local AI Coding Workhorse

Self-host Gemma 4 or Qwen3-Coder via Ollama or llama.cpp in Docker, then let Claude delegate the grunt work to it. Free tokens, zero code leakage.

Give Your AI Agent a Cheap Intern

Give Your AI Agent a Cheap Intern

Stop burning expensive AI tokens on boring grunt work. The overseer/workhorse pattern routes mechanical tasks to a cheap model and saves more than you'd think.

Dify: Visual Agent Workflows

Dify: Visual Agent Workflows

Dify is an open-source LLM-app builder you can self-host. Visual workflow editor, RAG, agents, tool use, without writing 500 lines of LangChain glue.

OpenRouter vs LiteLLM

OpenRouter vs LiteLLM

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OpenRouter is a hosted gateway, LiteLLM a self-hosted proxy, and Stripe now owns one of them. Which one belongs in your home lab as of August 2026?

Function Calling in Local LLMs

Function Calling in Local LLMs

Local LLMs can call tools, query APIs, and run code if you set them up right. Function calling on Ollama and llama.cpp explained, patterns that actually work.