AgentsZone is a community of AI engineering practitioners. Our members span the globe, from big tech to one-person companies, exploring how to redefine software engineering with AI Agents.
Members are driving AI Agent adoption within their own organizations — restructuring teams, building toolchains for the AI era, and delivering end-to-end business value. These practices are codified in the Harness Engineering Playbook, the world's first software engineering framework for the AI Agent era. The community also collects and analyzes first-hand case studies, shared through weekly Saturday evening sessions and published articles.
We encourage exploration, encourage challenge, and discourage politeness.
Hands-on experience from community members. How teams adopt Agents, manage quality, and build workflows.
Recurring themes from community chats, distilled into focused concept pages.
Weekly Saturday evening online sessions. Real-world talks, teardowns, and occasional guest speakers.
Community members who write articles and give talks. You're welcome to create a profile too.
Traditional change management relies on friction to control change frequency. AI eliminated that friction. Change management has shifted from a human process problem to a context engineering problem. Sharing our practice and unsolved challenges in structured anchoring within an SDD system.
AI drove code production costs to the floor, but project management costs actually went up. Traditional PM manages whether you finish on time; AI-era PM manages whether you're building the right thing. These require fundamentally different tools.
From prompt engineering to Harness Engineering, AI programming has been doing one thing: humans move further from code while gaining stronger control. OpenAI's 3 engineers guiding Codex to 1M lines of code reveals Harness's decisive role in AI programming reliability.
The best way to learn AI is to skip the learning and solve a real business problem. A $40/month store assistant case shows why starting from problems beats starting from technology.
Feature Workflow v3 upgrades to a Command + Agent + Skill three-layer architecture. The core insight: template-based workflows are not silver bullets — every project needs purpose-built Skill design.
I was a lone explorer — had my own ideas, ran my own experiments. Wrong? Try again. Right? Keep going. But the frontier moves fast, and useful references were hard to find. I could reach some conclusions on my own, but the efficiency was terrible.
After joining, I realized many of my hard-won discoveries were already common sense here. The collective experience of success and failure is incomparable to solo practice.
Scan to join our WeChat group. Weekly Saturday evening talks, daily sparring in chat. You must introduce yourself on entry. Lurkers get removed.
