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View Clutch ProfileA broken checkout, a discount code stacking wrong, or a section that throws errors after a theme update, every hour a bug stays live is lost revenue and a customer who doesn’t come back. We diagnose the actual root cause, not just the symptom, fix it on staging, run it through regression testing, and deploy it with a rollback plan, so the same bug doesn’t resurface next release.
Bold startup or growing enterprise, we craft digital experiences engineered to scale with your vision.
Shopify bug fixing means diagnosing and resolving defects in a live store’s theme, custom app, checkout, or third-party integrations, then verifying the fix doesn’t break anything else before it ships. It’s for stores where something that used to work has stopped, or never worked quite right after a change. These are the eight issues we get called in for most often.
Checkout throws an error, hangs on the payment step, or refuses to complete for some customers.
A section renders broken, blank, or throws a 500 error after a theme edit or Shopify update.
Two apps fight over the same DOM element or JS variable, and one (or both) stops working.
Buttons, filters, or add-to-cart stop responding while red errors pile up in devtools.
Discount codes stack incorrectly, or a bundle miscalculates the cart total.
A section renders fine on desktop but collapses, overlaps, or hides content on a phone.
A Shopify platform or API version update silently breaks a custom feature that worked yesterday.
Webhooks stop firing, or orders quietly stop syncing to your ERP or fulfilment tool.
A bug fix isn’t the finish line if the same issue comes back next month. Here’s what a root-cause fix changes for the business.
Every hour a checkout bug stays live is orders that silently fail instead of complete.
A store that visibly breaks loses repeat customers faster than one that’s simply plain.
Bugs found and fixed before a sale, not discovered by customers during it.
A root-cause fix instead of a patch means the same error doesn’t reappear next release.
A cart that calculates correctly the first time keeps customers from giving up mid-purchase.
Fewer unresolved errors sitting in the background means fewer surprise outages.
A documented triage process means critical issues get diagnosed in hours, not days.
Fixing the cause instead of routing around it means fewer repeat complaints about the same thing.
Twelve categories of bugs we resolve most often, each with a documented root cause before any code changes.
Challenge: checkout errors or a payment method that silently fails for some customers.
Solution: reproduce on staging, trace the failing request, patch within Shopify’s supported checkout extensibility.
Outcome: orders complete again, verified before redeploy.
Challenge: a section throws an error or renders blank after an edit or theme update.
Solution: isolate the broken Liquid logic and fix without forking the rest of the theme.
Outcome: the section renders correctly across all devices.
Challenge: a button, filter, or interaction silently stops responding to clicks.
Solution: trace the console error to its source script and resolve the conflict.
Outcome: the interaction works reliably again, with the error gone from the log.
Challenge: two installed apps inject scripts that collide and break each other.
Solution: identify the conflicting script, sequence load order or isolate the DOM scope.
Outcome: both apps work side by side without breaking the storefront.
Challenge: discount codes stack wrong, or a bundle’s price doesn’t match its components.
Solution: trace the pricing logic through Shopify Functions or the app calculating it.
Outcome: the cart total is correct every time, verified with test orders.
Challenge: a private or public app your business depends on starts erroring or crashing.
Solution: debug the app’s own codebase against the Admin API and webhooks.
Outcome: the app is stable again, with tests added to catch a repeat.
Challenge: a webhook silently stops firing, so orders don’t sync to your ERP or CRM.
Solution: audit webhook subscriptions, retry logic, and payload handling.
Outcome: data flows again, with monitoring on the endpoint going forward.
Challenge: a layout that works on desktop collapses, overlaps, or clips on phones.
Solution: reproduce across real device widths and fix the responsive breakpoint.
Outcome: the section holds up correctly on every screen size.
Challenge: a recent change quietly slowed page load or Core Web Vitals scores.
Solution: profile the page, identify the added script or query, and remove the bottleneck.
Outcome: load times return to baseline, confirmed with before and after data.
Challenge: a Shopify platform, theme, or API version update breaks a feature that worked before.
Solution: diff what changed in the update against the affected code and patch the gap.
Outcome: the feature works again, on a version path that survives future updates.
Challenge: collection filters return the wrong products, or search stops matching correctly.
Solution: trace the filter logic or search index and correct the matching rules.
Outcome: customers find what they’re searching for again.
Challenge: a critical bug is live right now and costing orders every hour it stays up.
Solution: priority triage, a fast-tracked fix on staging, and an expedited, monitored deploy.
Outcome: the store is stable again the same day the report comes in.
AI doesn’t replace a senior engineer’s judgment on a fix, but it does cut down how long it takes to find what’s actually broken and confirm it stays fixed. Three ways it shows up in our bug fixing workflow.
Instead of reading browser console errors and server logs one ticket at a time, we use AI to cluster related errors by root cause, so twenty reports of “checkout is broken” collapse into the one actual bug behind them.
Every fix runs against a scripted set of checkout, cart, and product flows after it’s deployed, so a bug that’s resolved today doesn’t quietly reappear in next month’s app update or theme change.
Sudden spikes in cart abandonment or checkout errors get flagged automatically against historical patterns, so a store owner hears about a problem from us before customers start complaining about it.
If your store needs more than a one-off fix, monitoring dashboards, anomaly alerts, and automation layered on top of your existing setup, our AI Development Services team builds that ongoing detection and automation directly into your Shopify operations.
Every stage ends with something concrete, a classification, a diagnosis, or a tested fix, not just a status update.
Deliverable: a severity classification (critical, high, medium, low). Timeline: within hours.
Deliverable: confirmed repro steps on a staging store. Timeline: same day.
Deliverable: a written diagnosis of what’s actually broken. Timeline: 1 to 2 days.
Deliverable: a working patch on staging. Timeline: 1 to 5 days by severity.
Deliverable: a QA pass on the original bug plus adjacent flows. Timeline: 1 day.
Deliverable: your sign-off before anything touches production. Timeline: same day.
Deliverable: a production release with a rollback plan. Timeline: 1 day.
Deliverable: error tracking on the fixed area for a set window. Timeline: 7 days.
Deliverable: what caused it and how it’s prevented going forward. Timeline: same day fix closes.
We choose the right tool for how the bug actually presents, not a fixed checklist.
Where most fixes actually live.
For finding what’s actually broken.
For confirming the fix holds up.
Where sync bugs usually surface.
Where triage speeds up.
How fixes ship and get reversed if needed.
Anyone can silence an error message. The harder, more valuable job is finding why it happened and making sure it stays fixed.
You see the root cause before we touch any code, not after.
Every fix runs on a staging store before it goes anywhere near production.
A short report explaining what broke and why, so your team learns from it too.
No offshore handoff or junior triage, the person diagnosing the bug is the one fixing it.
You know what’s actually wrong, and roughly what fixing it involves, before any work starts.
Every fix is checked against the flows around it, not just the one symptom reported.
Every production release ships with a plan to revert it instantly if something’s off.
You get a written note on cause and prevention, not just a closed ticket.
The fixed area stays watched for a set window, so a quiet regression doesn’t slip back in.
What breaks, and what it costs when it does, changes with what the business actually sells.

Challenge: a flash sale exposes a discount-stacking bug that undercuts margin on every order.
Solution: emergency triage and a regression-tested fix before the next sale window.
Outcome: sale weekends run without pricing errors reaching checkout.
Challenge: a product configurator throws errors for one specific compatibility combination.
Solution: reproduce the exact combination, fix the rules engine, and add a regression test for it.
Outcome: fewer wrong-part orders and fewer resulting returns.
Challenge: a fitment rule breaks after an update, letting incompatible parts reach the cart.
Solution: fix the fitment API check and cover it with an automated regression test.
Outcome: fewer wrong-part returns and more confident checkout.

Challenge: an age or license verification step stops firing after a checkout extension update.
Solution: urgent fix with a compliance-safe rollback plan ready in case of any issue.
Outcome: compliant checkout restored the same day it’s reported.

Challenge: a timezone bug in the delivery-slot scheduler shows the wrong available dates.
Solution: fix the scheduling logic and monitor it through the next few delivery cycles.
Outcome: no more delivery promises the kitchen can’t actually keep.

Challenge: a net-terms checkout throws an error for one specific customer tier.
Solution: trace the approval workflow logic and patch the tier-specific condition.
Outcome: B2B orders process again without a manual workaround.
Real stores, where getting the details right meant the difference between a launch that held up and one that didn’t.
“The team at Raulji Technologies delivered an exceptional Shopify application that perfectly fits our vision. The WayuVega app was developed with strong performance, seamless Shopify integration, and a very intuitive interface for merchants.”
“The OTP login and GoKwik checkout completely transformed our conversion rates. Our customers love the shopping experience, and the combo builder has been a game-changer for our average order value.”
“Raulji Technologies delivered exactly what we envisioned for our brand. The Shopify website is fast, visually beautiful, and easy for our customers to explore and purchase products.”
Tell us what’s broken, or what you suspect is, and we’ll tell you honestly how serious it is and what fixing it properly involves.
Share what’s happening, when it started, and your current platform, and we’ll reply within one business day with an initial read on severity and next steps.
Discover why 100+ global brands choose Raulji Technologies for AI-driven eCommerce, web development, and digital transformation, scaling their digital growth with innovation, performance, and trust.
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