After nearly a year of daily work with Claude Code, one pattern keeps coming back: the model prefers Bash over its own native tools. Here's what I've learned about why that happens and what you can do about it.
Cursor had hundreds of AI agents build a browser in a week. Three million lines of Rust. Six weeks later: one developer with one agent built the same thing in 20,000 lines. What does that tell us about multi-agent coding?
Why academic research on context files tells a different story than daily practice with AI coding agents.
If you've ever managed a large GitHub issue with multiple sub-tasks, you know the drill: create sub-issues one by one, set up a tracking PR, manually update status tables, ensure all the Closes #XXX statements are in sync. It's tedious, error-prone, and takes 20-30 minutes of pure overhead for each large feature.
What if you could compress that entire workflow into a single command that takes 2 minutes?