igorpcosta
Joined 9 years ago
Joined 9 years ago
There are only 3 companies doing this to date: Google, Sakana AI and Autohand AI.
This made me laugh https://www.forbes.com/sites/annatong/2026/03/05/cursor-goes...
If that's what winning looks like AI Summer is coming!
You can see the turns, tools called, outputs, changes. Similar to what he's trying to achieve.
My view is that software engineering is splitting into two paths. One is deep craftsmanship. The other is guided operators who know how to steer tools, systems, and LLMs toward the right result.
I am keen to hear where others agree or disagree, and how you see this playing out in real teams.
Machine orchestration: stateless execution, structured outputs, designed for CI/CD and batch runs, not just interactive use Auto mode: autohand -p "fix the tests" --yes --auto-commit runs the full task without prompts. Three permission levels plus granular command whitelist/blacklist Skills system: modular instruction packages that activate on demand. Run --auto-skill and it generates skills tailored to your project
One thing that's been surprisingly useful: because it's provider-agnostic, you can prototype with a fast cheap model, then swap to something heavier for the actual run. No code changes, just config. It's TypeScript + Bun, 40+ tools (file ops, full git, semantic search, multi-file edits), sessions persist and resume.