Run a multi-bot team that opens draft PRs
this prompt turns Grok into a small engineering team that helped me ship 1,000+ PRs here's how the setup works: 1. Task: The author configured a multi-agent workflow using Grok to automate software development tasks. The process involves sequential bots: one maps the repository context, another assesses task risk and routing, a builder writes minimal code changes, a tester runs validation checks, a reviewer audits the diff, and a final bot checks security before opening a draft PR. Human involvement is not explicitly detailed in the source, but the workflow ends at a draft PR, implying human review before merging.; tools: Grok Bot. Human role: The original post does not say how a person stayed involved.; limitations: The source is a social media post with secondary evidence reliability. It lacks details on the specific Grok configuration, prompt engineering, or infrastructure costs. The workflow assumes a repository structure that allows for automated context mapping. Human approval steps are implied but not defined, creating uncertainty about safety protocols for automated code generation..
Tools
Published on Agent Work Atlas:
Overview
this prompt turns Grok into a small engineering team that helped me ship 1,000+ PRs here's how the setup works: 1.
Workflow
The author configured a multi-agent workflow using Grok to automate software development tasks. The process involves sequential bots: one maps the repository context, another assesses task risk and routing, a builder writes minimal code changes, a tester runs validation checks, a reviewer audits the diff, and a final bot checks security before opening a draft PR. Human involvement is not explicitly detailed in the source, but the workflow ends at a draft PR, implying human review before merging.
Reported result
The author claims this setup helped ship over 1,000 pull requests. The source does not provide specific metrics on code quality, time saved, or failure rates. It is unclear if these PRs were all merged or if the 1,000+ figure includes rejected drafts. No independent verification of these outcomes is available.
Human role
The original post does not say how a person stayed involved.
Limitations
The source is a social media post with secondary evidence reliability. It lacks details on the specific Grok configuration, prompt engineering, or infrastructure costs. The workflow assumes a repository structure that allows for automated context mapping. Human approval steps are implied but not defined, creating uncertainty about safety protocols for automated code generation.
Try it
Act as an engineering lead implementing a multi-agent code review system using Grok. I will provide a repository URL [replaceable input] and a specific issue description [replaceable input]. First, configure a 'Context Mapper' agent to identify relevant files and dependencies. Second, set up a 'Risk Assessor' to categorize the task. Third, instruct a 'Builder' agent to generate a minimal code patch. Fourth, run a 'Tester' agent for linting and unit tests. Fifth, use a 'Reviewer' agent to check for regressions. Finally, have a 'Security' agent scan for secrets. Output a draft PR description with the full context chain. Before executing any real code changes or opening PRs, perform a dry run on a sample issue and present the simulated output for my approval. Do not proceed to actual deployment without my explicit confirmation.
Source reports are not independently verified. Publication date is the catalog publication date, not the original article date.