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Run OpenClaw agents for Terraform infra and GitOps from Telegram

Several OpenClaw agents with separate identities set up Terraform infrastructure, did coding work, code reviews, merges and built a CD and GitOps system.

Time saved
Not reported
Setup time
Not reported
Running cost
Not reported
Cost range
Not reported

Use case overview

Several OpenClaw agents with separate identities set up Terraform infrastructure, did coding work, code reviews, merges and built a CD and GitOps system.

Reported experience

  1. What they did

    The poster ran multiple OpenClaw agents, each with its own Google Workspace email, Git account, and EC2 instance. The agents could assume AWS roles in a development account and used Redis pub/sub they set up themselves to coordinate work across Terraform repos, coding tasks, reviews, merges, and building a CD/GitOps system, while the human mainly assigned big tasks over Telegram.

  2. How it went

    They say the setup delivered overnight, with large projects completed and operational by morning, effectively acting like a team of “10x engineers.” It broke down after they switched models from Claude to openai-codex/gpt-5.4, which they say stopped reliably finishing the work.

  3. Worth knowing

    The key catch was model cost and reliability: Anthropic Max became too expensive for their OpenClaw use, and the cheaper replacement reportedly could not complete complex multi-step jobs.

Example prompts

Try with OpenClaw
Set up separate agents on my [Telegram or chat app] for [infrastructure setup, code review, and deployment]. Using my [GitHub repo], have the infra agent write Terraform for [cloud provider and resources], have the review agent comment on pull requests, and have the deploy agent run a GitOps pipeline for [environment]. Finished means a working pipeline from merged PR to deployed change. Pause and show me the plan before applying any Terraform, merging, or deleting anything.
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