OpenClaw creator working on agents at OpenAI
Peter Steinberger
Peter Steinberger created OpenClaw and works on AI agents at OpenAI. He previously founded PSPDFKit and writes about AI-assisted software development.
About Peter Steinberger
Peter Steinberger is a software developer who created OpenClaw and works on AI agents at OpenAI. He announced joining OpenAI in February 2026, describing his goal as making agents accessible to more people while keeping OpenClaw open and independent.
He previously founded PSPDFKit, a software toolkit for working with PDF documents. His public projects and technical writing cover AI coding workflows, developer tools, and software for macOS and Swift. He publishes under the username steipete.
Mentioned in our coverage
36 articles name Peter Steinberger, excluding author credits.
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- Pi Agent Harness: Mario Zechner's Minimal Coding Agent You Can Own (2026) →
Pi's tagline is blunt: there are many agent harnesses, but this one is yours. Built by Mario Zechner (badlogic), Pi ships a small core — no baked-in MCP, sub-agents, or plan mode — and lets you extend everything via skills, extensions, and npm packages. Here is how Pi fits the harness layer we define in our agent harness guide, and why OpenClaw embeds it.
- Top 10 AI Agent Loops for Coding Workflows (2026 Guide) →
Loop engineering replaced one-shot prompting as the default AI coding skill in 2026. These ten loops cover the workflows teams run most — fixing CI, triaging bugs, building test coverage, syncing docs, and clearing review feedback — each with a verifiable stop condition. Browse all ~100 loops at explainx.ai/loops.
- Loop Engineering Is Now the Most-Discussed AI Skill on Developer Twitter →
One week ago "loop engineering" was a term most developers hadn't heard. Today it is trending across X with 2,200+ posts, championed by Anthropic's Boris Cherny and OpenAI's Peter Steinberger, critiqued by Matt Pocock, and joked about by everyone who has watched Claude say "You're right to push back! I over-engineered this!" 87 times in a row. Here is the full picture.
- What Is Loop Engineering? The New Paradigm Beyond Prompt Engineering →
Prompt engineering optimizes a single instruction you type by hand. Loop engineering optimizes the autonomous system that decides what to prompt, when to prompt it, and whether the result is acceptable. Here's what it means and why it matters.
- Anthropic VirBench: Why Biological Agents Need Deterministic Tools Like gget virus (2026) →