Now

• Most of my engineering attention is now on Agent Harnesses and benchmarks: context routers, tool registries, permission gates, verifiers, traces, and reproducible evaluation.
• md2wechat-skill has reached 3,617 GitHub stars. The next experiment is a dsh-plugin for DeepSeek Harness, testing how the WeChat publishing workflow fits into a plugin-based Agent runtime.
• Shipped Weekly Wisereads, turning Readwise's most-highlighted weekly articles, videos, PDFs, and curated ebooks into Chinese deep-reading reports with discovery, research, quality gates, and atomic publishing.
• Started cycling seriously and filming vlogs. I am also exploring an Agent-native cycling iOS app centered on habits, progression, and feedback, while turning AI-enabled efficiency into a better pace of life.

Writing about Agent Harnesses, benchmarks, Skill engineering, open-source retrospectives, and Weekly Wisereads. Cycling is now part of the content plan too: first rides, city routes, and the question of where the time saved by AI actually goes.

Continuing to run an AI Builder community around Agent Harnesses, benchmarks, open-source projects, md2wechat, Codex workflows, and lessons from building a real content growth system. Join my ZhiShiXingQiu: 杰尼·AI 实战圈. Join

• Studying how context, memory, tools, permissions, verifiers, and traces work together across DeepSeek Harness, Codex, and other Agent runtimes.
• After running many benchmarks, I am focusing on how to evaluate evidence gathering, tool use, error repair, and verification across the full Agent process.
• Treating cycling as a long-term experiment in habits, immediate feedback, and low-friction interaction, while gathering real input for an Agent-native cycling product.