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Large Language ModelsHacker NewsPublished: May 13, 2026, 01:00 JST1 min read

Developer uses Claude Code agents to automate side-project feature development over seven weeks, building a pool of workers that generated 5–7 features per day

Developer uses Claude Code agents to automate side-project feature development over seven weeks, building a pool of workers that generated 5–7 features per day

3 Key Points

  1. On March 6th, the author left Claude Code running overnight on Townleap (a relocation-planning website) with the prompt 'you have full freedom, add most creative features you can come up with.' It produced 109 commits and hit Vercel's 100 deployments/day limit, costing $90 ($20 subscription + $70 overage). Half the output was usable (Score Simulator, Cost Breakdown, Timezone Overlap tool, Heat Map); half was discarded (City Rap Battle, fake newspaper generator).

  2. After initial chaos, the author built a dispatcher system: a simple cron + bash script that spawned up to 5 Docker workers, each running Claude Code on a single GitHub issue in its own container and branch. Each worker self-reviewed with screenshots before opening a PR; author comments triggered follow-up workers. Merge conflicts auto-resolved. The author subscribed to the $200 Max plan and ran persona tests (synthetic LLM users with goals like 'find optimal city') in the morning, reviewed fixes at lunch, and evolved the setup nights and evenings.

  3. Over seven weeks, the pool delivered 5–7 features per day. The author shifted from coding individual features to managing the agent pool, losing hands-on design work but gaining the ability to batch-process a backlog of half-finished ideas.

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