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Developer builds 37 AI agents using Claude Code subagents

A developer successfully created 37 Apify Actors, with 5 now live on the platform, by leveraging 25 Claude Code subagents in parallel. The process involved detailed, constrained prompts and running agents in the background to maximize throughput. The developer found that running four agents concurrently offered the best balance between speed and oversight, preventing output drift and ensuring adherence to specifications. AI

IMPACT Demonstrates how AI agents can be used to rapidly develop and deploy multiple software tools.

RANK_REASON A developer used an AI model to create multiple software tools, detailing their process and learnings.

Read on dev.to — Claude Code tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Developer builds 37 AI agents using Claude Code subagents

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Tool
A developer used an AI model to create multiple software tools, detailing their process and learnings.
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Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
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product, other
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High
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Story freshness
128 days old
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COVERAGE [1]

  1. dev.to — Claude Code tag TIER_1 English(EN) · Ian ·

    I spawned 25 Claude Code subagents in one night. Here's what I learned.

    <p>I gave myself $1,000 and 24 hours to ship something live. By hour 8 I had spawned roughly 25 Claude Code subagents in parallel, built 37 Apify Actors, and pushed all of them into Apify's publish pipeline. As of this morning, 5 are LIVE on the Apify Store; the other 31 are sitt…