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AI-Generated Shell Commands: Test in a Throwaway Container

A disposable container will not make an AI-generated shell command safe, but it gives you a cheap, repeatable early warning before that command reaches your laptop, your dotfiles, or a shared server. The point is not to trust the model more; it is to fail faster when a command does something you did not expect. The problem starts innocently. You ask a model for a one-liner to rename a batch of…

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Why GPT-5.6 Luna High Is My Default for Agentic Engineering

I used to pick coding models the same way people pick sports cars: choose the most powerful one and pretend the fuel bill is somebody else's problem.

  • GPT-5.6 Luna favored for agentic engineering tasks
  • Low input ($0.20) and output ($1.20) token costs
  • High reasoning effort ensures effectiveness

Using RLM Cut's Token Costs by 96% for LLM

As someone who is constantly exploring ways to make AI applications faster and cheaper, I found myself looking for a solution to a problem that kept slowing me down: processing 100,000+ token context…

  • Developer rewrote RLM code in Rust, achieving 37.6% faster execution
  • RLM-Rust implementation reduced token costs by 96.1% for 120,000 tokens
  • Rust-based solution enables efficient processing of large context windows