AI is becoming an increasingly important part of the day-to-day work of e-commerce development teams. It helps generate code, write tests, analyze existing solutions, create documentation and navigate unfamiliar parts of a project more quickly. In e-commerce platform development, this sounds particularly attractive. Projects are complex, backlogs are long and developer time is expensive. If some of the work can be completed faster with AI, a natural question follows: can artificial intelligence genuinely shorten development time and, as a result, reduce the time and cost of an e-commerce implementation?
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Until recently, building a custom CRM, ERP, or operational backend meant months wiring up low-level infrastructure. Open Mercato changes that calculus: an open-source AI-Engineering Foundation Framework for bespoke CRM, ERP, WMS, and B2B backends built for the AI era.
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Increasingly, engineering teams maintaining e-commerce platforms based on Sylius 1.x are reaching a critical point where planning a migration to the next version is no longer optional. With the fast-approaching End of Life (EOL) for older tech stacks and the rapid evolution of the Symfony-based framework, upgrading to Sylius 2 has become a cornerstone of many organizations' technological roadmaps.
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If you’ve ever had that gut feeling that your e-commerce system isn’t quite right, you’re probably onto something. Maybe it’s the pages that load just a little too slowly. Or those bugs that seem to come and go without explanation. Or perhaps it’s the way developers avoid certain parts of the codebase like it’s cursed. Sounds familiar? That’s where a Quality & Performance Audit comes in.
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As we head into 2025, I've been thinking about how much I wanted to contribute to Symfony UX over the past year, but didn't quite get around to it.
Read more →We go deep under the hood of backend engineering. Navigate from Doctrine ORM query optimization and performance profiling to implementing asynchronous processes with Symfony Messenger. Explore the exact design patterns required for custom Sylius deployments at a high-volume scale. We focus entirely on solving complex engineering bottlenecks, ensuring robust application security, and mastering automated testing pipelines with Behat and PHPUnit. Strictly practical. Code-driven.
