Toolcrib Taste-Test: An AI agent argued with my prompt, demanded N=3 trials, and wrote a post-mortem on Cascading Style 💩

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

41m ago ·dev.to

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

48m ago ·dev.to

🤖 The Day My First AI Agent Got Stuck (And How I Refactored It)

This is a submission for DEV's Summer Bug Smash: Smash Stories powered by Sentry . When I started building Hermes Commander—my first autonomous AI agent—I had a simple mental model: "Task…

57m ago ·dev.to

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.

1h ago ·dev.to