Look, I’m going to be straight with you. The traditional article is powerful. But it’s only one way to present your reporting.

You spend weeks on an investigation. You publish 3,000 sharp words. But what happens to the data behind it? The full timeline? The quotes that didn’t fit?

What if you could turn that investigation into an interactive experience, complete with clickable timelines, hover-activated charts and tagged insights, in about 20 minutes?

With vibe coding, it’s possible.

What is vibe coding?

The term vibe coding came out of developer culture, but it is no longer just for developers. It’s for anyone who wants to tell a story that harnesses the power of coding.

When you vibe code, you’re building an application with the help of AI by focusing on what you want it to do. Rather than coding with HTML, JavaScript or other technical languages, a builder describes the user experience in plain language to a Large Language Model (or LLM).

You might type a prompt like, “Build me an interactive timeline showing [x, y, z] events.”

Here’s what worked for the journalists I’ve seen succeed with vibe coding:

• Step 1: Pick something simple. Don’t try to rebuild your entire investigation. Start with one article, dataset or interview.
• Step 2: Use a basic prompt structure, like: “Build an interactive [website/dashboard/story] that shows [your content] in [style you want]. Focus on [what matters most].”
• Step 3: After you have something simple, iterate 3-5 times. First pass: structure. Second: visual style. Third: functionality. Fourth: polish.
• Step 4: Share your creation with a colleague. Don’t talk, just watch. See if they click around. If they get stuck, that means you built it for yourself, not your audience. Time to iterate again or start over.

Why vibe coding and journalism make sense

When I taught vibe coding through the Google News Initiative AI Lab, I watched journalists with zero coding experience build interactive financial dashboards, data visualizations and branded microsites, all in about 90 minutes.

“This would have taken our dev team a month,” one person told me. “I did it during our session.”

While you can move quickly to an initial application with vibe coding, you still want to get your product or development support staff on board before launching. The real benefit is that vibe coding lets you prototype faster to see if your idea works before needing to commit resources.

This matters because most newsrooms don’t have a developer on speed dial. At the Adirondack Explorer, a small regional outlet covering New York’s Adirondack Park, journalists are building a civic information product that aggregates town meeting recordings, transcripts and minutes across dozens of municipalities. That kind of project would normally require hiring contractors or a dedicated dev team. Instead, their reporters are building it themselves.

When I worked with VTDigger through the Google News Initiative, they automated campaign emails across four audience segments, work that directly generated $40,000 in donations that likely wouldn’t have happened with manual effort alone. Vibe coding turns “we can’t afford to build that” into “let me show you what I made this morning.”

Think of vibe coding as a creative prototyping partner. Get to 80% quickly. Then decide if you need developer support to get to 100%.

Tips for those who are new to vibe coding

I’m repeating this because it’s important: Start simple. Pick one piece of your big investigation. It could be a dense PDF that needs to be more accessible. It could be data sitting in a spreadsheet. It could even be an interview transcript with great quotes that couldn’t all make it into the article.

When describing what I want to the LLM, I get experimental with my prompts. I’ll type things like, “use the most modern UI and UX interactions and animations to make my charts and graphs more interesting and allow me to parse through the data visually.” Or, “build this in the style of a high-end investigative journalism piece meets Wired magazine’s data viz.”

Then I iterate with edits like, “change the color scheme to match our brand,” or, “pull out more quotes from the sources,” or even, “make [x, y, z] section more prominent.”

Three high-level no-no’s when vibe coding

1. Never use it for final production without verification.
2. Don't use it for anything requiring real-time data without a proper backend.
3. Never publish AI-generated content without independent verification. In high-stakes areas like health, legal, financial or public safety, errors can cause real harm.

A Google AI Overview recently told pancreatic cancer patients to avoid high-fat foods, which is the exact opposite of what oncologists recommend and could jeopardize a patient’s ability to tolerate chemotherapy.

AI can generate beautiful visualizations, but it can also confidently present wrong numbers. For anything where errors could harm your readers, verify everything against primary sources.

Vibe coding tools to try

The main platform I use for vibe coding is Lovable.dev. For a simple interactive graphic such as a timeline, searchable transcript or basic data visualization, you can expect to use roughly 3-8 credits to produce a solid prototype.

More complex builds with multiple views, filtering or light database features can take 15-30 credits depending on how much you iterate. The free tier is typically enough to experiment with small projects, while paid plans make sense if you’re building regularly or refining more advanced applications.

Bolt.new is another tool worth knowing. For a simple interactive project, such as a timeline or basic data visualization, you might use roughly 20,000 to 60,000 tokens depending on how much you iterate. More complex builds with custom logic, multiple components or repeated revisions can exceed 100,000 tokens. The free tier is generally sufficient for small experiments, while larger or ongoing projects may require a paid plan.

Bolt tends to give you more control over the code and works well if you want to edit things directly. Lovable is more beginner-friendly with a cleaner interface for non-technical users.

Both tools let you attach content like article text, CSV files or transcripts, describe what you want in plain language, and get a working prototype you can publish immediately.

You might wonder why you need these tools when you already have ChatGPT or Claude. The difference is output.

When you ask ChatGPT to build you a dashboard, it gives you code snippets you’d need to assemble yourself, often requiring a developer to make sense of it. When you ask Lovable the same thing, you get a working application with a live preview, hosting, and a chat interface to iterate on it.

Lovable is actually powered by Claude, but it wraps the AI in a full-stack builder that handles deployment, databases and design. For journalists without coding experience, that’s the difference between “here’s some code” and “here’s how it looks.”

Go build something new

The article format has served us well. It’s not dead, but it is not the only option.

When thousands of people fly to a conference, share incredible insights and then go home, that knowledge evaporates unless it’s transformed into something people can continue to engage with.

Vibe coding lets us do that better than text-only articles can. Not just for conferences, but for city council meetings, investigative data, community journalism and breaking news.

My hope is you’ll take these vibe coding tips and run. You’ll build interactive story formats your newsroom has never seen. You’ll prototype tools that solve real problems. You’ll make journalism more engaging, more accessible and more honest about its data and sources.

Journalists who can write, build, prototype, ship and transform their own work into new formats will define what news looks like in five years. So, go vibe code something. I can’t wait to see what you build.

This post first appeared in News Media Help Desk.

The post Vibe coding for journalists: Build interactive stories without writing a single line of code appeared first on The Media Copilot.

When I teach AI to editorial and PR teams, there’s one topic that reliably flips the room from curious to electric: vibe coding. It’s the rare session where I end up less like an instructor and more like a court stenographer—watching students click through the highly visual, interactive projects they’ve just coaxed into existence and trying to keep up with the ideas.

Vibe coding is definitely having a moment, and not just because it’s fun. It’s arguably the most impactful thing to come out of the field of generative AI in the past year, at least as far as applied AI goes, because it pulls AI out of the document and drops it into the product. Broadly, vibe coding is the practice of using AI to create not just “content,” but webpages, apps, and experiences—software people can actually do things with. You don’t need to know a lick of code, either: The AI takes your plain-language prompts, translates them into functioning software, and spits out pages—or even entire websites—in minutes.

The first click changes everything

The high that you feel the first time you vibe-code something is similar to what you probably felt the first time you asked ChatGPT to write an essay: a rush of capability, followed by the uneasy sense that you’ve just gotten away with something. “It can’t be that easy,” is the thought that hangs in the air. And you’d be right to be skeptical. Vibe-coded experiences can be visually and technically impressive, but they’re almost always one-offs. The gap between “this works” and “this works every day” is where reality lives, and crossing it typically requires a wider set of software and developer skills.

But even with that caveat, vibe coding matters—especially for media. It has the potential to be transformative for storytelling, newsrooms, and the media at large because it breaks a long-running constraint: the people crafting content are no longer limited to whatever tools their organizations happen to provide. I remember the publication I worked at in the early days of blogging didn’t even have a gallery tool for readers to quickly scroll through images. If you wanted an experience beyond the basic post template, you either begged for engineering time or learned to live without it. Today—AI or no AI—there are countless platforms and plug-and-play tools, but they rarely include every feature you want, and incorporating new software is still a lengthy process inside most organizations.

Vibe coding flips that dynamic. Instead of contorting a story to fit the CMS, creators can build experiences that fit the story. That shift is why it so often ignites enthusiasm in storytellers and domain experts, and why we’re seeing an uncorking of creativity as more journalists dabble with vibe coding. The examples are already piling up: an interactive explorer of Newark’s municipal service data; a webpage that turns wildfire point data into Datawrapper-ready hexagon maps. Those aren’t just “nice interactives.” They’re proof that the barrier between idea and interface has collapsed.

The hard part, of course, is what comes next. For media organizations, the challenge is translating that enthusiasm into deeper audience engagement by doing it in an ongoing way. That requires more than permission slips and hack days. It requires new skills, specialized tools, and above all a culture shift that treats this kind of building as part of editorial work, not a weird extracurricular.

From solo experiments to shared workflows

Getting good at vibe coding isn’t wildly different from developing “normal” AI skills: structured prompting, clear iteration, and an understanding of how to collaborate with the model will get you a long way. What changes is the nature of the output, which includes behavior as well as content.

So before you open a tool, it helps to think like a builder: What inputs do you need beyond the story itself? What data, parameters, or user choices will the experience depend on? What existing interactives are close to what you want, and what patterns can you borrow? Most importantly, what does the audience actually want to do here, and what do you expect readers to click, enter, explore, or share? Data journalists may have an advantage, but the core shift is more universal: you’re thinking more like a product manager than a writer.

You can vibe-code in the same places you’re probably already using AI, like ChatGPT and Claude, but tools built specifically for vibe coding tend to take you from prompt to product faster. They’re optimized for the “build the thing” loop, not the “talk about the thing” loop. And if your goal is to broaden participation beyond a small group of enthusiasts, the familiar chat interface, the basis of vibe-coding platforms like Lovable and Base44, will be less intimidating than anything that resembles a traditional dev environment.

At the team level, the goal isn’t to turn every reporter into a full-stack engineer. It’s to create a safe, repeatable lane for experimentation: a go-to platform where anyone can prototype story experiences privately, share them internally, and decide which ones deserve the next level of investment. That’s easier said than done because usually the whole point is publishing something audiences can touch. But most vibe-coding platforms recognize the risk and ship with controls that keep things secure by default, while still enabling you to publish to a public-facing site when you want to.

This is where culture enters the chat. Many media organizations still treat product and editorial as separate silos with a thin bridge between them. AI has already begun to chip away at that wall, and vibe coding essentially takes a sledgehammer to it. That can be unnerving to product teams that are used to roadmaps, strict QA, and defined KPIs. It can also be unnerving to editorial leaders who’ve spent years being told that “interactive” equals “slow,” “expensive,” or “not our job.” The organizations that get this right will balance the desire to let creative teams experiment—sometimes publicly—without turning their sites and strategy into the Wild West.

That balance depends on collaboration and alignment. If vibe coding stays siloed as a novelty, it will produce a steady stream of clever one-offs and not much else. If it’s treated as a pipeline, from prototype to review to polish to launch, it becomes a repeatable way to create new, highly engaging experiences. And that pipeline needs shared goals: what success looks like, how experiments graduate, who signs off, what “good enough” means, and how learnings get captured so the next experiment doesn’t start from scratch.

The urgency here is bigger than tooling. As we move closer to “Google Zero” in 2026, media brands need to do more with the audiences they have. Vibe coding offers a path where the entire team—not just product managers and engineers—can contribute to building experiences that keep people coming back.

Why the adaptable newsroom wins

Vibe coding doesn’t need to replace existing newsroom workflows to matter. Its value is additive: it gives non-coder domain experts like journalists room to test ideas and think beyond the constraints of the CMS without waiting for an opening in the roadmap. Some ideas will remain one-offs, and that’s fine. Others will reveal formats worth formalizing—because the best way to discover what audiences want is often to build it and see. The organizations that benefit most will be the ones that treat vibe coding as legitimate editorial exploration, support it with light structure rather than heavy oversight, and accept that the path to stronger audience relationships now runs through experimentation as much as execution.

A version of this column first appeared in Fast Company.

The post Vibe coding is giving journalists the power to build, not just publish appeared first on The Media Copilot.