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Author accidentally builds 'dark software factory' for long-running AI agents

By PulseAugur Editorial · [1 sources] ·

The author describes the accidental creation of a "dark software factory" named Holodeck, designed to overcome limitations with long-running AI agents. Initially struggling with Claude's tendency to stop after a few minutes and suffer from context drift, the author developed a mechanism to feed the AI one task at a time with a fresh context window. This approach, which evolved into a "Ralph loop," involved documenting failures, running loops from the command line, and implementing deterministic tests to create guardrails. The process ultimately led to the development of a more robust software factory. AI

IMPACT Provides insights into overcoming challenges with long-running AI agents and context drift, potentially informing future agent development.

RANK_REASON The item is a personal narrative about building a tool for AI agents, not a release from a frontier lab or a significant industry event.

Read on dev.to — LLM tag →

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

Author accidentally builds 'dark software factory' for long-running AI agents

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5 / 100
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Commentary
The item is a personal narrative about building a tool for AI agents, not a release from a frontier lab or a significant industry event.
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product, infra
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High
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Breaking (< 6h)
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COVERAGE [1]

  1. dev.to — LLM tag TIER_1 English(EN) · Ben Dechrai ·

    I Accidentally Built a Dark Software Factory. Here's How.

    <blockquote> <p>This is the first in a series of articles about my dark software factory, Holodeck. This one covers how it came to be and the principles underneath it. In future articles I'd like to dive into particular aspects in more detail. Want to know more about something I'…

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