From Vibe Coding to Agentic Engineering: What's Next

In February 2025, Andrej Karpathy posted a tweet that gave a name to something thousands of people were already doing. He called it "vibe coding" — writing software by describing what you want in natural language and letting AI handle the implementation. "I just see things, say things, run things, and copy paste things," he wrote. "It mostly works."

That tweet crystallized a movement. Suddenly, non-technical founders, designers, product managers, and random people with ideas realized they could build software. The floodgates opened. An entire generation of vibe coders emerged — people like me who had never written a line of code but were now shipping production applications.

That was 2025. It is now 2026. And vibe coding is already evolving into something else. Something more powerful, more autonomous, and more consequential for solopreneurs than anything we have seen so far.

I am calling it what the industry is starting to call it: agentic engineering.

And if you think vibe coding changed the game, you are not ready for what comes next.

The Evolution: A Timeline

To understand where we are going, it helps to see where we have been. The shift happened in three stages, and I lived through all of them.

Stage 1: AI as Autocomplete (2022-2023)

The first wave of AI coding tools — GitHub Copilot, early ChatGPT — treated AI as a sophisticated autocomplete. You wrote code, and AI suggested the next line. Helpful for developers. Useless for non-technical people. You still needed to understand the code to use the suggestions.

I was not building software during this stage. I was running KINS and creating content manually. AI coding existed, but it existed for coders.

Stage 2: Vibe Coding (2024-2025)

The second wave flipped the model. Instead of AI completing your code, AI wrote the code from your description. Claude Code, Cursor, and similar tools made it possible to say "build me a dashboard" and get a dashboard. The human went from coder to director.

This is the stage I entered. This is when I built my first product, then my second, then my third. The power shift was dramatic — non-technical founders could suddenly build real software. The barrier to entry for starting a software business dropped from "years of education" to "an afternoon of experimentation."

But vibe coding still has a fundamental constraint: the human is in the loop for every decision. You describe a feature. AI builds it. You review it. You describe the next feature. AI builds it. You review it. The human is the bottleneck. The human sets the pace.

Stage 3: Agentic Engineering (2025-Now)

The third wave — the one we are entering right now — removes the human from the loop for large stretches of the process. Not entirely. But substantially.

Agentic engineering means AI systems that do not just execute instructions — they plan, build, test, deploy, monitor, and iterate autonomously. You do not tell an agent "build this feature." You tell an agent "here is the goal" and it figures out the features, builds them, tests them, identifies problems, fixes them, and deploys the result.

The human goes from director to executive. You set strategy. The agents execute.

This is not science fiction. I am already doing it.

What I Am Already Running

Let me be concrete, because this conversation tends to drift into abstraction. Here is what autonomous agents do in my business today.

The SEO Agent

My SEO agent is a Node.js process running on PM2. It runs 24/7 with zero human input. Every day, it:

I did not tell it to check a specific keyword this morning. I did not tell it to scan competitor sites. I set the goal — "improve organic search visibility for these topic clusters" — and the agent figures out the daily actions.

This is not vibe coding. This is an autonomous agent operating continuously on my behalf. The difference is not subtle.

The Content Scout

Every morning at 8am Berlin time, a bot sends me a curated list of trending topics relevant to my audience. It monitors X, LinkedIn trends, Google Trends, and niche newsletters. It scores each topic for relevance, novelty, and alignment with my content strategy. It does not just find topics — it evaluates them against criteria I defined once, months ago, and have not touched since.

Before this agent existed, I spent an hour every morning figuring out what to write about. Now I spend 5 minutes reviewing a list that an agent curated while I slept.

The Ops Monitor

I have a process that checks the health of every system in my business — every PM2 process, every Vercel deployment, every Supabase connection, every scheduled task. If something goes down, it attempts to fix it automatically. If it cannot fix it, it sends me a Telegram alert with a diagnosis and suggested action.

Last month, a background process crashed at 3am. The ops agent detected it, restarted it, verified the restart was successful, and logged the event. I found out about it in the morning from a notification that said "Process X crashed and was auto-restarted at 03:14. No data loss. Root cause: memory limit exceeded. Recommendation: increase allocation." I approved the recommendation with a one-word reply. Total time I spent on a production incident: 15 seconds.

That is agentic engineering. Not "AI helped me write some code." AI identified a problem, fixed it, verified the fix, and briefed me on what happened — all without my involvement.

The Karpathy Progression

Andrej Karpathy's journey mirrors the broader evolution, and watching it play out has been instructive.

In February 2025, he coined "vibe coding" and described it as a casual, intuitive approach: you tell the AI what you want, you do not really look at the code, it mostly works.

By late 2025, the conversation had shifted. Karpathy and others began talking about AI agents that could handle entire development workflows — not just writing code, but planning architecture, writing tests, debugging failures, and deploying changes. The human was still present but increasingly as a reviewer, not a driver.

In early 2026, the tools caught up to the vision. Claude Code began handling multi-step tasks autonomously — "build this feature, write tests for it, run the tests, fix any failures, then deploy." One command. Multiple steps. Autonomous execution.

The progression is clear:

Each step removes the human from a layer of the process. Not from all layers. From the layers that do not require human judgment.

What This Means for Solopreneurs

If vibe coding democratized building, agentic engineering democratizes operating. And for solopreneurs, that is the bigger deal.

Building a product is a one-time effort. Operating a product — maintaining it, improving it, monitoring it, marketing it, supporting it — is an ongoing, never-ending drain on your time. It is the reason solopreneurs burn out. Not because they cannot build, but because they cannot keep up.

Agentic engineering changes the math. Here is what my daily workload looks like compared to 18 months ago:

Task Before Agents After Agents
SEO monitoring 1 hour/day 5 min reviewing digest
Content ideation 1 hour/day 5 min reviewing scout
System monitoring 30 min/day 15 sec responding to alerts
Bug detection Random (found by users) Continuous (found by agents)
Competitive analysis 2 hours/week Included in SEO digest
Content distribution 1 hour/day 20 min reviewing outputs

I recovered roughly 3-4 hours per day. That is not optimization. That is liberation. Those hours go into thinking, creating, and the strategic work that agents cannot do — deciding what to build next, understanding what my audience needs, writing the long-form essays that establish trust.

The solopreneur model was always constrained by one thing: there is only one of you. Agentic engineering does not give you a team. It gives you something better — autonomous systems that handle the operational load while you focus on the work that only you can do.

The New Skills

Vibe coding required three skills: prompting, architecture thinking, and a debugging mindset. Agentic engineering requires three different skills.

Goal Setting Over Task Setting

In vibe coding, you describe tasks: "Build a dashboard. Add a filter. Fix this bug." In agentic engineering, you describe goals: "Improve our search visibility. Keep all systems running. Surface content opportunities."

The difference is enormous. A task has a clear start and end. A goal is ongoing. Setting effective goals for AI agents requires the same clarity you would need to manage a team — except the "team" runs 24/7, never gets tired, and executes without emotion or ego.

The skill is not technical. It is managerial. Solopreneurs who can set clear goals and define success criteria will build better agents than those who can write better prompts. The game has shifted from communication to strategy.

System Design Over Feature Design

Vibe coding is feature-oriented: build this, then this, then this. Agentic engineering is system-oriented: how do these components interact? What monitors what? What triggers what? What happens when something fails?

I spend more time now designing the relationships between my agents than I spend on any individual agent. The SEO agent feeds data to the content scout. The ops monitor watches both. The content pipeline takes briefs from the SEO agent and scouts from the content bot. It is an ecosystem, not a list of features.

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Thinking in systems is a learnable skill. It is closer to how a business executive thinks than how a programmer thinks. Which means, paradoxically, non-technical founders may be better suited for agentic engineering than technical ones — because they are already used to thinking about organizations, workflows, and interconnected processes.

Trust Calibration

This is the hard one. How much do you trust your agents?

Too little trust, and you review everything, and you have recreated vibe coding with extra steps — you are still in the loop for every decision, and the agents are just fancy scripts.

Too much trust, and your agents make decisions you would not have made. They optimize for the metrics you defined instead of the intent behind those metrics. They find edge cases you did not anticipate. They scale a mistake as efficiently as they scale a success.

The skill is calibration. Trusting agents with low-stakes decisions immediately (restart a crashed process, adjust a scheduled task, flag a trending topic). Keeping yourself in the loop for high-stakes decisions (changing pricing, publishing content under your name, modifying user-facing features). Moving the trust boundary outward as agents prove themselves reliable.

I trust my SEO agent to monitor rankings and generate briefs. I do not trust it to publish content without my review. I trust my ops agent to restart crashed processes. I do not trust it to change infrastructure configuration. The boundary is different for each agent, and it moves over time.

Getting this right is not a technical problem. It is a judgment problem. And judgment is the one thing that cannot be automated.

What Comes After Agentic Engineering

I spend a lot of time thinking about what this trajectory leads to. If we went from autocomplete to vibe coding to agentic engineering in three years, where are we in three more?

My best guess — and it is a guess, not a prediction — is that the solopreneur of 2029 will not build products or run agents. They will set intentions.

"I want to help people recover from burnout" becomes a sufficient input for an agentic system that researches the market, identifies an underserved niche, builds a product, launches it, markets it, iterates based on user feedback, and reports back on results. The human chooses the direction. The system handles everything between intention and outcome.

That sounds utopian. Maybe it is. But three years ago, "I will describe my app in English and AI will build it" also sounded utopian. And now it is Tuesday.

The implication for solopreneurs is profound: the advantage will not go to the people who can build the best products. It will go to the people who can identify the most meaningful problems. Taste, empathy, and judgment — the deeply human skills — become the bottleneck. Everything else becomes machinery.

How to Prepare

If you are a solopreneur right now, here is what I would do to prepare for the agentic engineering wave:

Start building agents today. Even simple ones. A bot that checks something and sends you a message. A script that runs on a schedule. A process that monitors a data source and alerts you when something changes. Each agent you build teaches you how to think about autonomous systems.

Move from tasks to goals. The next time you sit down to vibe code, try describing a goal instead of a task. Instead of "build a function that checks keyword rankings," try "I want a system that continuously improves my search visibility." See how the AI responds. See what you need to add for it to produce something useful. That exercise — translating intentions into goal specifications — is the core skill of agentic engineering.

Get comfortable with imperfect autonomy. Your agents will not be perfect. They will make mistakes. The question is not "will they make mistakes?" but "are their mistakes smaller and less frequent than the mistakes I make when I try to do everything manually?" If yes, let them run.

Think in systems, not features. Draw the map of your business on paper. Every process, every workflow, every repetitive task. Now ask: which of these could be an autonomous agent? Which ones talk to each other? What is the monitoring layer? You are designing an organization chart — except the employees are software.

The Future Is Already Here

I want to end with something concrete. Because I know this essay has drifted into big-picture territory, and big-picture territory can feel disconnected from the reality of sitting at a desk in Berlin at 9am trying to figure out what to work on.

Here is my 9am this morning: I opened Telegram. My SEO agent had sent the daily digest — two new page-one rankings, one technical issue flagged and auto-fixed, three content briefs generated from newly trending queries. My content scout had three topic suggestions scored and ranked. My ops monitor had a green-light report — all systems nominal, no incidents since last check.

I reviewed the content briefs. Chose one. Wrote a raw thought in 10 minutes. Fed it through the content pipeline. Thirty-five posts generated. Reviewed them. Scheduled them.

By 9:45am, my business had been monitored, my content had been planned, and my marketing for the week had been generated. I had not written a line of code. I had not vibe-coded anything. I had reviewed the output of agents I built months ago — agents that run whether I am awake or not.

At 10am, I started writing this essay. The thing only I can do. The thinking, the synthesizing, the connecting of ideas across domains. The human work.

That is agentic engineering. Not the elimination of human work — the concentration of it. The stripping away of everything that does not require your specific mind, so that your specific mind can do the work that matters.

Karpathy gave us vibe coding. The industry is giving us agentic engineering. What comes next, I think, is something that does not have a name yet — but it starts with the realization that the most valuable thing a solopreneur can do is not build. It is decide what is worth building.

Everything else, the agents will handle.

And that changes everything.

What would you build if your agents handled the rest?

I write about freedom, healing, and building alone. The full archive is at soulin.co.

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