AI coding agents make it easier to follow SonarCloud rules consistently, including stylistic rules that help keep a codebase uniform.
A short outline of how increasingly capable AI models can help refine prompts and improve the interaction loop, but, at the same time, they can over engineer if you already have skills and procedures in place that already does that.
Copilot Auto and Claude Code advisor show two ways AI tools are taking model selection off our hands—and changing what human control means.
Claude Code is not just a coding assistant: how to use it for tasks beyond writing code.
Testing a heavily quantized Qwen 3.6 local model with an isolated email workflow to find out whether aggressive quantization is practical for real-world use.
Use OpenSSH connection multiplexing to let an AI agent run SSH commands without exposing your password.
How I used the speckit-full and speckit-gh skills in azdo-cli to turn GitHub issues and pull requests into a primitive natural-language control plane for a human-in-the-loop spec-to-PR workflow.
Using an AI-controlled browser with your primary accounts is a significant security risk. Here are progressive isolation levels to minimize attack surface, from simple VM separation to full network isolation.
Explore how GitHub Copilot's plan-then-execute workflow with git worktrees enables true parallel development, allowing developers to delegate tasks to autonomous AI agents while maintaining productivity on other work.
I always use LLMs to help write detailed specs for software I want to create, especially when vibe coding. Claude Code seems promising for creating agents to automate this process.