Archestra uses a coding agent with read-only access to Slack and Kubernetes to automatically fix bugs reported via emoji. The agent provisions a VM with development tools, investigates issues, creates pull requests with automated review feedback, and posts video demos back to Slack, reducing the time from bug report to merged fix from days to minutes.
kdy1, creator of SWC compiler, describes how AI agents have transformed his development workflow by handling most implementation work while humans remain decision-makers. Using Labor0 and AI tools like GPT 6 Astra, he converted a single prompt into 46 bug reports and 45 pull requests across multiple projects, demonstrating that humans are the bottleneck in modern AI-native development.
Benzi is a code intelligence harness that outperforms Claude Code and CodeGraph on bug-fixing benchmarks, resolving 78.2% of 500 real GitHub issues at under 10¢ per fix on SWE-bench Verified. Comparisons across 24 issues in 10 languages show Benzi requires fewer lines read and lower costs as difficulty increases, while Claude Code's expense climbs more steeply with problem complexity.