AI

AI coding agents are powerful, but giving an agent unrestricted access to your development machine can be uncomfortable. You want the convenience of an AI-powered development workflow without turning your entire host system into the agent’s playground.

That’s where snowdon-dev/opencode-docker comes in.

OpenCode doesn’t impose an opinion on the sandbox its agents run in, and opencode-docker takes advantage of that. It is a security- and human-control-oriented workflow for running OpenCode inside Docker containers. Your project is available inside the container at /workspace/project, while toolchain caches for Go, Rust, Node.js and Python persist between runs.

We’re excited to announce LLMTest, a new program designed to evaluate the core intelligence modes of Large Language Models (LLMs). This isn’t your standard comprehension test—it’s a deep dive into an LLM’s capacity for pure reasoning, independent of its vast training data.

👉 Visit the web application now: llmtest-online

What is LLMTest?

LLMTest uses a linear-time algorithm to generate infinitely many unique test instances. Each test is a simple logical puzzle presented in a token-efficient format, using a domain and steps that are naturally aligned with a computer agent.