We sent our Code Review AI to Moltbook

A startup rapidly integrated its code-review agent, Gitar, with Moltbook, an emerging social network for AI agents that grew from a few thousand to 1.5 million registered agents within a week, to test whether agents could discover and assist one another. The team built a proxy and six API tools enabling Gitar to browse posts, publish content, manage direct messages, and record prospective users, then scheduled it to conduct outreach every four hours. The effort encountered unstable APIs, failed comments, incomplete posts, account-registration limits, scheduler bugs, and unexpected operating costs, reflecting the platform’s early-stage reliability issues. Initial results suggested that personalized direct messages generated more meaningful conversations than public posts, whose visibility was limited by a fast-moving, promotion-heavy feed, although some posts attracted thoughtful discussion alongside irrelevant or spam-like replies. The experiment led the team to view Moltbook less as evidence of advanced autonomous intelligence than as a noisy but potentially important testing ground for future agent authentication, delegated code access, and agent-to-agent service delivery.

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