DotDev 2026: Shopify’s Vision for AI, Development and Commerce

Every year, DotDev provides a glimpse into the strategic direction that will shape Shopify’s future. This year, the message went far beyond new features: artificial intelligence is transforming the way developers build on Shopify, redefining tools, processes and even the role of development teams.

This article brings together my key takeaways from the event, along with insights from Alex, Lead Developer at Novatize.

AI Is No Longer Just a Tool, It’s Becoming a New Way to Build

One of the biggest takeaways from DotDev was that artificial intelligence should no longer be viewed as just another development assistant.

Over the past several months, Shopify has invested heavily in initiatives such as the Shopify AI Toolkit, Dev MCP, Shopify UCP and more broadly, agentic approaches. While these technologies have already been on the radar of Shopify developers, DotDev 2026 confirmed that they are no longer experimental innovation projects, they now sit at the core of Shopify’s platform vision and strategy.

For Alexandre, the real transformation is organizational.

“Artificial intelligence tools now need to play a much bigger role in how we work and more broadly, across the entire organization.”

The goal is no longer simply to accelerate software development. These tools also accelerate exploration, prototyping and problem-solving while making knowledge, workflows and specialized expertise much more accessible across teams. AI becomes a catalyst for sharing knowledge, improving collaboration and enabling more people to contribute effectively to projects.

River Shows What the Future of Development Could Look Like

One of the most memorable presentations at the event focused on River, an internal tool developed by Shopify. Initially, River was simply connected to the company’s internal Slack workspace. Today, it has evolved into a full AI-assisted collaboration platform.

To support this evolution, Shopify consolidated much of its codebase and internal knowledge into a monorepository, giving River access to significantly more context and allowing it to operate across the organization.

Connected to this environment, River can explore code, answer technical questions, write or modify code, run tests, review pull requests and propose fixes. Even more impressively, it can create pull requests to improve its own code, including its skills, prompts and configuration. While every change is still reviewed and approved by humans, River now actively contributes to its own evolution.

Beyond its technical capabilities, what stands out most is how seamlessly River is integrated into everyday work. Because it operates directly within Shopify’s public Slack channels, developers can observe how colleagues use AI, learn from their approaches, reuse proven solutions and continuously learn from one another. AI becomes a powerful engine for knowledge sharing and continuous improvement across the organization.

Developers Must Avoid Technological Inertia

Another presentation that particularly stood out focused on technological inertia.

For many years, certain ideas were simply unrealistic because they required months of development. Today, with AI agents, many of those same ideas can be explored or prototyped in just a few hours or days.

Technological inertia appears when developers continue approaching projects with yesterday’s mindset: using AI only as an autocomplete tool, manually performing tasks that could be automated, dismissing ideas because they were once too complex or expensive to implement, or consistently relying on traditional architectures without reassessing the new capabilities the platform now provides.

It also shows up in the way we evaluate AI tools themselves. Sometimes a single unsuccessful attempt is enough to conclude that a tool cannot perform a given task, even though its capabilities are evolving at an extraordinary pace. A feature that seemed impossible only a few weeks ago may now work perfectly. Technological inertia therefore also means judging today’s tools based on yesterday’s limitations rather than their current capabilities.

As these technologies continue to evolve, so does the role of the developer. It is no longer just about writing every line of code, but increasingly about defining the problems to solve, guiding AI agents, evaluating proposed solutions and making the technical decisions that ensure the quality, security and long-term sustainability of projects.

SEO Becomes Even More Important in the Age of AI Search

Contrary to common assumptions, DotDev confirmed that SEO is not disappearing with the rise of AI assistants. On the contrary, conversational search engines continue relying on the existing web to understand, validate and recommend products.

Shopify shared several particularly interesting statistics:

• Traffic coming from AI assistants has increased more than 8 times over the past year.
• Orders generated by AI assistants have grown nearly 13 times.
• More than half of AI-driven visitors land directly on a product page.
• These visitors convert nearly 50% better than those coming from organic search.
• Their average order value is approximately 14% higher.

This evolution confirms that buying journeys are becoming far more direct. Instead of navigating through multiple categories and products, shoppers increasingly begin their journey in an AI assistant before landing directly on a highly specific product page.

For businesses, this reinforces the importance of investing in high-quality content, structured product data and an SEO strategy adapted to the new generation of AI-powered search engines.

Shopify’s Global Catalog Is Becoming a Strategic Asset

Shopify is making significant investments in its Global Catalog, a database designed to help AI agents better understand the products available across Shopify stores.

As a result, product information becomes even more valuable. Product descriptions, attributes, metadata, images, availability and technical specifications may increasingly influence whether an AI assistant recommends one product over another.

For merchants, high-quality product data is becoming a genuine competitive advantage.

Shopify Continues Investing in Unified Commerce

DotDev also highlighted Shopify’s continued investments in unified commerce.

While online commerce continues to grow, Shopify reminded attendees that most purchases still happen in physical stores, making Point of Sale (POS) solutions a central part of its ecosystem.

The company sees strong innovation opportunities in areas such as customer loyalty, clienteling, inventory management, workforce management, appointments, returns and industry-specific applications. This vision reinforces Shopify’s commitment to better connecting digital and physical experiences, delivering a more consistent customer journey regardless of where customers choose to buy.

What We’re Taking Away from DotDev 2026

Beyond the new features, DotDev 2026 confirms a much deeper shift.

Artificial intelligence is already transforming Shopify development.

The teams that will benefit the most from this transformation will not necessarily be those using the largest number of AI tools, but those that successfully integrate AI into their processes, knowledge sharing and the way they design digital solutions.

At Novatize, these announcements reinforce several initiatives already underway around agentic commerce, product data optimization and the evolution of our development practices. We look forward to turning these insights into tangible solutions for our clients.

Discover how we help manufacturers, distributors and retailers build scalable commerce platforms, optimize product data and create experiences ready for the new AI-powered customer journeys.

Interested in discussing this with an eCommerce expert?

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Pierre-Olivier Brassard

Vice President - Products and Technology, Partner

contact@novatize.com+1 844 932-6682

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