In February 2025, Andrej Karpathy coined "Vibe Coding"—using natural language to direct AI to write code, forgetting that code even exists. That December, Collins Dictionary named it Word of the Year. In February 2026, Karpathy himself "retired" the concept, proposing Agentic Engineering instead—the evolution from "humans directing AI to write code" to "AI Agents autonomously completing the development loop."
Vibe Coding changed how programmers work. Claude Code can handle requirement decomposition, code writing, testing, and deployment from a single terminal prompt. ByteDance's Trae, in its SOLO mode, lets AI develop autonomously while developers only need to review and approve.
But Vibe Coding belongs only to programmers. Lawyers, marketers, and product managers also need Agentic AI to handle their business tasks—but they can't use Claude Code or Trae.
Vibe Everything—people in every industry can use natural language to assemble AI Agent teams that autonomously handle business tasks. Lawyers build legal Agent teams. Marketers build research Agent teams. Product managers build requirements analysis Agent teams.
On June 3, Xiaomi released the latest version of its open-source project, SoloEngine. The first low-code Agentic AI development platform. Vibe Everything now has a platform to land on.
I. From Vibe Coding to Vibe Everything: Where's the Gap?
Vibe Coding has supercharged programmer productivity—Claude Code achieves an 80.9% autonomous problem-solving rate on SWE-bench Verified, while Trae's SOLO mode hits a 92% first-attempt success rate. But the value of Agentic AI extends far beyond programming.
In the legal industry, Wolters Kluwer's 2026 survey shows 92% of legal professionals use at least one AI tool. Yet Bloomberg Law's data reveals that only 5% of lawyers have actually used an AI Agent. The gap lies between "using AI to draft emails" and "letting AI autonomously handle contract review."
In the marketing industry, 87% of marketers use AI. But 34% of enterprise marketing teams are already running autonomous Agents in production—more than double the figure from six months ago. Supply can't keep up: too few people can build truly Agentic AI marketing tools.
The root cause mirrors the programming world. LangChain and CrewAI require writing Python. Dify and n8n do workflows—preset paths, if/else branching, not true autonomous decision-making. The ability to build Agentic AI is gated by a technical barrier, and the people who need Agentic AI the most—lawyers, marketers, product managers—are the very ones kept on the other side.
SoloEngine's mission is to tear down that barrier. The first development platform that satisfies both "zero-code" and "true Agentic AI" at the same time.
II. How SoloEngine Rewrites the Rules
Open a browser. Drag Agents onto a canvas. Connect collaboration relationships. Configure the tools you need. Hit run. The backend automatically compiles the visual design into an executable Agentic AI system—one that plans tasks, executes operations, and delivers results. Users just review and confirm. No lines of code. No if/else logic to configure.
Each Agent runs a ReAct loop of "think → act → observe → repeat," with all decisions made dynamically at runtime. Take contract review as an example: the Agent doesn't follow a preset checklist item by item. It first identifies high-risk clauses, discovers that a non-compete provision is ambiguous, searches relevant case law on its own, and adjusts its review direction based on what it finds. There are no preset paths—every step is dynamically determined by the result of the previous one.
SoloEngine doesn't try to be a "super-Agent that does everything." Claude Code and Trae are developer-only tools. Manus took the "general-purpose Agent" route—capable of doing everything, but 87% of its test cases focused on information gathering and basic analysis, automated reports required manual review 43% of the time, and the mid-step error rate was around 12%—doing everything, excelling at nothing. SoloEngine lets domain experts in every industry define what their Agents do, how they do it, and what tools they use. A lawyer's Agent handles only legal work. A marketer's Agent handles only marketing—vertical and precise.
SoloEngine supports multi-Agent collaboration. Multiple Agents independently process the same task and then cross-verify their outputs. One Agent's blind spot is caught by another; one Agent's judgment bias is corrected by another. Bloomberg Law's survey shows that only 5% of lawyers have actually used an AI Agent, and their core concern is accuracy of AI output. Multi-Agent cross-verification directly addresses that concern.
A unified adaptation layer covers OpenAI, Anthropic, Ollama, DeepSeek, Tongyi Qianwen, Zhipu, and other major models—one interface, seamless switching. Progressive disclosure lets tools, Skills, and MCP protocols load on demand, cutting token consumption by over 85%.
Assembled Agent teams can be one-click packaged into complete products. Vibe Lawyering—a lawyer packages a legal Agent and sells it to fellow practitioners. Vibe Marketing—a marketing team packages a marketing Agent and serves 100+ clients.
| Dify/n8n | LangChain/CrewAI | SoloEngine | |
|---|---|---|---|
| True Agentic AI support | ✗ Preset-path workflows only | ✓ ReAct / multi-Agent | ✓ ReAct / multi-Agent |
| Programming required | No | ✗ Must know Python | No |
| Visual orchestration | Partial | ✗ None | ✓ Full canvas experience |
| Can domain experts build independently | Yes (but no true autonomous decision-making) | ✗ | ✓ |
| Multi-Agent collaboration | ✗ | ✓ | ✓ |
III. Vibe Everything in Practice
Vibe Lawyering. A lawyer drags a "Case File Analysis Agent," a "Legal Statute Search Agent," a "Case Precedent Compilation Agent," an "Argument Analysis Agent," and a "Document Agent" onto the canvas, connects their collaboration relationships, and hits run. Multi-Agent cross-verification ensures that outputs are validated by multiple Agents before delivery. Fully zero-code.
Vibe Marketing. A marketer drags an "Audience Analysis Agent," a "Competitive Research Agent," a "Strategy Writing Agent," and a "Copy Generation Agent" onto the canvas, hits run, and a complete marketing plan is automatically delivered.
One-Person Companies. One-person limited liability companies nationwide have surpassed 16 million, accounting for 27.4% of all enterprises. 2026 has been dubbed "the Year of the OPC," with over 20 cities rolling out dedicated OPC support policies. SoloEngine's one-click packaging lets OPC entrepreneurs build Agent teams and package them directly into products for sale.
Karpathy said Vibe Coding lets people forget code exists. SoloEngine brings Vibe Everything to every industry—letting everyone forget the technical barrier exists and simply create in their own domain.
SoloEngine's positioning: No Workflow. No orchestration code. Just Agents that get things done.
Visit SoloEngine on GitHub and experience Vibe Everything.
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