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

MeNews
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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. 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 comprehensive automation system enables the project to operate efficiently with a highly streamlined team. (Source: AiHot)
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InvisibleMarketMaker
· 3h ago
Performance regression monitoring + automatic video recording, debugging experience maximized
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ReefUnderTheMoonlight
· 10h ago
From code review to end-to-end AI in the testing environment—this is you really getting SDLC down.
View OriginalReply0
SweepTheFloor
· 11h ago
Good news for small teams, these automation processes sound so hassle-free to listen to.
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GateUser-59fc535c
· 11h ago
Vercel DeepSec integration is quite interesting; security has been shifted left effectively.
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MirrorBallGazingAtTheSky
· 11h ago
Meetings are directly turned into tasks, finally no more handwritten to-do lists.
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GateUser-21ddf7c7
· 11h ago
100 Codex instances? Electricity bills can't take off.
View OriginalReply0

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