Developer Creates Multi-Agent Coding System for Supervised Automation

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A developer built a multi-agent coding setup to manage AI assistants on real tasks without constant oversight. The system, called Jancera/skills, uses rules to limit agent prompts to only significant decisions and splits large features into small, testable tasks. Each task runs in an isolated sandbox and is manually reviewed and merged by the developer. The system was tested on a side project, where it successfully implemented four concurrent feature updates over about a day.

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