Stop Prompting, Start Looping
Loop engineering, a term coined by Addy Osmani in June 2026, is replacing prompt engineering as the dominant paradigm for coding agents, shifting focus from prompting models to designing autonomous lo…
Loop engineering, a term coined by Addy Osmani in June 2026, is replacing prompt engineering as the dominant paradigm for coding agents, shifting focus from prompting models to designing autonomous lo…
Loop engineering, the practice of designing autonomous AI agent cycles that run without constant human supervision, emerged as a defined term in June 2026 after developer Peter Steinberger posted on X…
A viral joke by Peter Steinberger, creator of OpenClaw, and Hamel Husain, known for AI evals, sparked debate over whether 'loop engineering' is dead and 'graph engineering' is the new discipline. The …
Google Research tested 180 agent configurations across five architectures and found that multi-agent graph variants degraded performance by 39–70% on sequential reasoning tasks while boosting parallel…
The /goal function in OpenAI's Codex has shifted the author's understanding of AI-assisted coding from prompting an AI step-by-step to setting up autonomous loops where a system works until evidence s…
Boris Cherny, who leads Claude Code at Anthropic, and Peter Steinberger, creator of the open-source agent OpenClaw, have stopped manually prompting AI agents and now design systems that automate promp…
Anthropic's Claude Code lead Boris Cherny and developer Peter Steinberger advocate for 'loop engineering' over prompt engineering, where agents autonomously iterate toward a goal rather than requiring…
A March 2026 study from MIT's Computer Science and Artificial Intelligence Laboratory analyzing 809 large language models released between 2022 and 2025 found that 80 to 90% of frontier AI model perfo…
Anthropic reversed its policy of covertly degrading Claude Fable 5 for AI-research-related use cases within roughly a day after public backlash, with critics arguing that opaque sandbagging violates t…
In 2026, developers are shifting from prompt-based coding to loop engineering, a method that automates repetitive tasks and reduces manual input, according to a viral tweet by Peter Steinberger, creat…
OpenClaw creator Peter Steinberger revealed at TED2026 that his AI agent, unleashed on the internet, sparked one of the world's fastest-growing open-source projects, arguing that agents represent a fu…
Developers should stop prompting coding agents one message at a time and start designing loops that prompt the agents instead, according to Peter Steinberger, developer of the OpenClaw framework, and …
Loop engineering, a trend where developers design automated loops to prompt AI agents instead of writing prompts manually, has gained traction after Anthropic's Boris Cherny and OpenAI's Peter Steinbe…
Legibility—the ability to see and understand a complex system well enough to trust, improve, and change it—has become a scaling bottleneck for human comprehension in the age of agentic AI, according t…
OpenClaw has become a nonprofit foundation, aiming to serve as a neutral steward for the AI agent platform, with creator Peter Steinberger continuing to lead technical decisions while employed by Open…
Loop Engineering introduces a framework and CLI toolkit for designing systems that prompt coding agents, shifting the bottleneck from individual prompts to orchestration loops. The project, published …
Developer Peter Steinberger, maintainer of a 300k-line TypeScript React ecosystem, advocates for using AI agents with minimal prompts and parallel Codex instances. He emphasizes practical techniques s…
The AI engineering community has adopted the term 'loop' to describe at least four distinct architectures: execution loops for agent decision-making, task loops that restart agents until tests pass, p…
The OpenClaw Foundation has been launched to govern the wildly popular but insecure open-source AI assistant framework OpenClaw, following months of explosive growth and security warnings from researc…
OpenClaw, a personal AI assistant created by Peter Steinberger, bridges local Ollama models to messaging apps like Telegram, WhatsApp, and Slack, enabling private, hardware-based AI interactions. The …