AI Won’t Replace Ecommerce Development Teams - It Changes How They Work

Over the past year, the ecommerce world has been filled with promises around AI:

“Build a storefront in minutes.”
“AI will write code instead of developers.”
“Every brand will be able to develop on its own.”

And on the surface, for a moment, it really looked like that was where we were heading. Shopify is bringing AI into almost every layer of its system:
from Sidekick for store management, through AI tools for developers, to adapting for a world where customers will search, compare, and buy through AI engines and intelligent agents.

At BOA Ideas, we work with these tools every day: testing, developing, experimenting, and, in many cases, also enabling clients to use them independently. But the more we work with AI in real ecommerce projects, the clearer it becomes: AI can generate code quickly and often quite well. But it still cannot take responsibility for an ecommerce system over time. And that difference is much bigger than it may seem at first.

Shopify Is Not Just Adding AI: It Is Changing How Teams Work

One of the most interesting things happening now is that Shopify is not treating AI as just another feature. It is building the platform's future around it.

We can already see this in several directions:

• Sidekick - an AI assistant connected to store data

• Shopify Dev MCP - AI tools for developers

• Storefront MCP - building AI agents connected to site data

• Shop App with AI-powered product discovery

• Preparing sites for AI discovery and LLM search

• Direct purchasing through AI conversations and chats

This is not accidental. Shopify understands that the way people shop will change.

Gradually, we will see:

• less manual search

• more recommendation engines

• more conversational commerce

• more AI agents managing parts of the purchasing process

Or as we presented in one of our meetups:

“Whoever is not accessible to AI agents simply won’t be part of the shopping journey for potential customers.”

AI Can Really Accelerate Development Capabilities

And it is important to say this clearly: these tools are genuinely powerful.

AI can already help with:

• creating sections

• writing basic code

• automations

• generating reports

• writing content

• building flows

• analyzing data

• Identifying website issues

• improving operational workflows

For example, Sidekick can:

• identify products without images

• help create coupon codes

• generate sales reports

• analyze collection performance

• suggest marketing copy

• assist with daily operational tasks

And this really does change how quickly we can work. The problem starts when we confuse:

“AI can generate and assist”

with:

“AI can build a healthy ecommerce system.”

The New Problem Is No Longer Slow Development

In the past, most ecommerce projects suffered from slow development. Today, we are starting to see a completely different problem: development that is too fast, without proper management.

Because AI can generate:

• a lot of code

• a lot of components

• a lot of automations

• many “solutions”

But it does not truly understand:

• long-term maintenance

• the system’s ability to grow

• the impact on performance

• architectural consistency

• operational dependencies between systems

And that is exactly where projects start to get complicated.

One of the Biggest Risks: AI-Generated Technical Debt

This may be the topic that is currently discussed the least. For example, AI tools can generate Shopify sections very quickly.

But in practice, we see cases where:

• every section is written from scratch

• the code becomes duplicated and bloated

• performance is affected

• accessibility breaks

• the structure becomes hard to maintain

• Different areas of the site lack consistency

Shopify itself still limits some of the capabilities of its AI tools.

Based on our experience:

• Sidekick is mainly good at creating new sections, not editing existing ones

• many outputs look similar to each other

• complex requests still require manual work and significant QA

And that makes sense.

AI is good at creating; it’s still less capable when it comes to big-picture, systems-level thinking.

That’s why developers’ roles are changing

And this may be the most interesting shift happening right now.

Developers are moving away from writing every line of code by hand and increasingly acting as:

• architects

• reviewers

• QA owners

• integration managers

• system thinkers

Because in a world where AI can write code in seconds, the real value shifts to the ability to:

• understand implications

• manage complexity

• perform precise QA

• keep the system healthy over time

Because Not Everything Needs to Be Developed

One of the things we strongly believe in at BOA is this: first maximize what Shopify already provides, and only then develop custom solutions.

The same is true of AI.

Not every idea needs:

• a rebuild

• a custom app

• an AI agent

• a complex automation

• or a new flow

Sometimes the simpler solution, based on Shopify’s native capabilities, is more stable, faster, and much easier to maintain.

We encourage clients to experiment on their own. It is an important part of our approach. If clients can and want to:

• create content

• write prompts

• test ideas

• build simple flows

• or experiment with development

We are in favor of it. Technology does not have to “stay with the developers.” But it does need to be used properly.

That is why, in many cases, we recommend:

• setting up a test environment

• testing before production

• working with QA

• merging code in an organized way

• understanding the implications before pushing changes live

Because in real ecommerce, even a small change can affect:

• performance

• SEO

• checkout

• integrations

• tracking

• accessibility

• conversion rate

• Day-to-day operations

So How Should Brands Work with AI in Shopify?

1. First, check feasibility - not every AI idea makes sense from a business or technical perspective.

2. Work in a test environment - do not build directly on production.

3. Let AI help - not make decisions on its own.

4. Run thorough QA.

5. Implement changes in an organized way.

In conclusion - what’s next for the world of ecommerce?

We are likely entering a world where brands will be able to do more on their own, the shopping journey will become more conversational, and AI agents will become a more meaningful part of the way customers search, compare, and purchase products.

But at the same time, the ability to manage complexity will become more important than ever.

Because in the end, the site with the most AI will not win. The site that will win is the one that works reliably, grows properly, remains easy to maintain, and connects AI, operations, and real ecommerce in a smart way.

At BOA Ideas, we help brands understand where AI can truly improve their site and operations, and where it is better to pause, test, and build in a more stable way.

 

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