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

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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. Using tools like clawpatch.ai, the project is broken down into functional units for review, and security analysis is integrated with Vercel DeepSec and others. This entire automation system enables the project to operate efficiently with a highly streamlined team. (Source: AiHot)
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SilverLiningOfPessimism
· 8h ago
Topic deduplication is so realistic, duplicate issues on GitHub are a headache to look at.
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YieldGardenKid
· 8h ago
Do Codex instances conflict with each other? I'm curious about how the architecture is designed.
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