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Ignore token costs, automatically drive open-source projects with hundreds of AI instances

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Abstract generation in progress
AIMPACT News, May 16 (UTC+8), the author extensively uses AI in the OpenClaw project to explore how to build software in a future where "token cost is irrelevant." The team continuously runs about 100 Codex instances to automate several core tasks: reviewing code and security issues, deduplicating and categorizing topics, automatically reproducing complex test environments and recording verification videos, proactively creating tasks from meeting discussions, filtering spam comments, and monitoring performance regressions. Tools like clawpatch.ai break down the project into functional units for review, and integrate Vercel DeepSec for security analysis. The entire automation system enables the project to operate efficiently with a highly streamlined team. (Source: AiHot)
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ColdWalletUnderTheNeonLights
· 14h ago
Can the electricity bill handle 100 Codex instance stacks?
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FragilePosition
· 14h ago
Automatically recording verification videos is so useful, debugging becomes a breeze.
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YieldCartographer
· 14h ago
Generate tasks directly from meetings, finally no more handwritten to-do lists.
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FragmentGlowFlower
· 14h ago
Good news for small teams, this level of automation is a bit outrageous
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PocketValidator
· 14h ago
Vercel DeepSec collaboration security analysis—the link design is quite smooth.
View OriginalReply0

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