OpenClaw’s Creator Shows How AI Builds OpenClaw
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OpenClaw’s Creator Shows How AI Builds OpenClaw
2 485 просмотров · 2 нед. назад
AI Signal
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2 485 просмотров · 2 нед. назад
OpenClaw creator Peter Steinberger shows how his team uses AI agents to build and maintain OpenClaw itself. One task ran for eighteen days and produced more than a hundred pull requests. The talk also demonstrates a shared workspace, reusable prompts, bug-fix loops, and the difference between a repeating loop and a goal with a finish line.
OpenAI’s Kevin Lin then explains permissions, sandboxing and agent identities. A live community-assistant demo shows both what works and where people still have to step in. Peter’s maintenance argument brings the discussion back to taste, responsibility and useful work.
00:00 One task, eighteen days
00:27 OpenClaw builds OpenClaw
01:39 Working in a shared workspace
04:13 Share the reasoning behind the code
05:46 From bug report to fix
06:38 Loops and goals
07:09 Permissions and security boundaries
09:11 A live demo with rough edges
10:02 What the team still owns
10:53 A practical place to begin
Original source: OpenAI — ClawLabs: Building Open Source Together | DevDay 2026
• ClawLabs: Building Open Source Together | ...
Published October 7, 2026.
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