GitHub Repository

Your autonomous engineering team in a CLI. The agent loop produces senior-level code that you can actually trust in prod because of non-negotiable feedback from independent reviewers. Supports Claude Code, OpenAI Codex, OpenCode, and Gemini CLI with trivial setup.

1,548 starsJavaScript

AGI will not come from better models, it will come from meta harness

Name: AGI will not come from better models, it will come from meta harness
Availability: InStock
Author: covibes

by covibes·Jun 23, 2026·2 points·2 comments

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AI Analysis

●●SolidWizardryBold Bet

Independent validators in isolated environments loop until code is verified, not just generated.

Strengths

•Planner-implementer-validator architecture with crash-safe state persistence for recovery.
•Supports GitHub, GitLab, Jira, and Azure DevOps as issue backends with multi-provider AI.
•1.5k stars shows real traction and community validation of the approach.

Weaknesses

•Multi-agent coding agents are becoming crowded with Cursor, Continue, and others.
•90-minute demo runs may be too slow for iterative development workflows.