Openclaw on ROBOCO

OpenClaw's Five-Layer Gatekeeping: Quality Control in the Age of AI Agents

Fri, 27 Mar 2026 00:00:00 +0900

Thousands of PRs pouring into a 310K-star project, plus parallel commits from eight AI agents. The secret to keeping quality from collapsing amid that chaos is five layers of automated gatekeeping.

Dohyun Jung - Principal Consultant, ROBOCO

In an earlier post I analyzed the productivity principles embedded in OpenClaw’s AGENTS.md. The heart of that piece was “writing the rules down.” But writing rules and enforcing them are entirely different problems.

The Line Between Repository Rules and Personal Taste in the Vibe Coding Era

Thu, 26 Mar 2026 17:26:21 +0900

The job of AGENTS.md is not to clone your developers. It is to pin down only the boundaries where accidents must be prevented.

Dohyun Jung - Principal Consultant, ROBOCO

Teams that adopt vibe coding soon run into a similar question. Once you start putting an AGENTS.md or CLAUDE.md in every repository to tell AI agents the rules, it becomes murky how far you should pin things down as shared rules and where you should leave things to individual taste. Draw that line wrong and two problems appear at once: the safety rules that absolutely must hold get loose, while choices that are really just preferences become needlessly rigid.

OpenClaw: Nine Best Practices from the World's Largest Vibe Coding Project

Sat, 14 Mar 2026 10:00:00 +0900

“I used to lead a team. I had a lot of software engineers under me. Even then, I had to accept that they would not write code exactly the way I wanted it written.” – Peter Steinberger¹

Dohyun Jung - Principal Consultant, ROBOCO

OpenClaw is the most-starred software repository on GitHub (310K+ stars) and the definitive case study in large-scale AI-assisted “vibe coding.”² Built by Austrian developer Peter Steinberger using three to eight parallel AI agent instances,³ the project demonstrates that a single developer can orchestrate a 300K+ LOC TypeScript monorepo, more than 20 messaging integrations, and native apps for three platforms — while barely reading most of the code.¹