Add a sticky add-to-cart bar on mobile product pages.
ContextCustom product template, variant selector and subscription widget already exist.
ResultA scoped implementation that preserves variant and selling-plan behavior in staging.
Direct answer
TaskerArmy reads the relevant theme files, prepares the change, runs QA and provides a staging preview.
Real requests
Recognizable Shopify work, routed honestly.
The example shows the request, the files that may be affected and what the team reviews in staging.
Fix a collection filter that stops responding after dynamic updates.
ContextTheme JavaScript owns the interaction and can be reproduced.
ResultA targeted JavaScript/Liquid change with interaction testing.
Redesign checkout and connect custom ERP allocation rules.
ContextCheckout, backend systems and business policy are intertwined.
ResultEscalation to senior Shopify Plus engineering.
Inside one job
Add a mobile sticky add-to-cart without breaking variants or subscriptions.
The agent must understand the existing product form and app behavior before it writes code.
- 01Complete
Map purchase behavior
Locate the product form, variant events, selling-plan state and current responsive rules.
- 02Approved
Confirm acceptance criteria
Define when the bar appears, what it displays and which existing events it must reuse.
- 03Complete
Implement on staging
Add the section, styles and event wiring without duplicating purchase logic.
- 04Passed
Test representative states
Validate unavailable variants, subscriptions, quantity changes and mobile viewport behavior.
- 05Ready
Present the preview
Show the working PDP and changed files for merchant review.
Delivered outcomeA complete job answers whether the storefront works, not merely whether the code parses.
Follow one Shopify job from request to approval
The engineering agent is not valuable because it can produce a plausible code answer. Its value comes from moving a specific request through store investigation, scoped implementation, staging, QA evidence and an explicit production decision.
Example Engineering Run
Reduce layout shift in the product gallery
Finding
The gallery reserves inconsistent space before responsive media dimensions are known.
Plan
Add stable aspect-ratio behavior and preserve existing variant-media logic.
Technical surface
One Liquid section and one stylesheet; no app or checkout changes.
Capacity
Illustrative well-defined scope: 2 Engineering Runs, shown before execution.
Evidence
Seven automated checks, AI review, preview and one visible compatibility warning.
Authority
The agent may prepare staging work; the merchant owns the live-theme decision.
Merchant request
Keep the product page visually stable while images load
Request: Reduce layout shift in the product gallery without changing the current design or app behavior.
- Inspect the active theme, product template, gallery section, image markup and related CSS.
- Identify missing dimensions and the containers that change size during loading.
- Confirm whether variant media, video, zoom or review apps affect the gallery.
- Propose a well-defined plan that preserves the design and avoids unrelated optimization work.
- Prepare changes in the staging theme and produce a file-level changeset.
- Run automated checks plus AI engineering review.
- Generate a preview with the expected outcome and any remaining warning.
- Wait for an authorized merchant to approve the exact artifact before production.
Review point: The merchant reviews a concrete result: the request, the interpretation, the files changed, expected customer impact, QA evidence, preview URL, Engineering Run count and remaining uncertainty.
Controlled lifecycle
The workflow around the model
A general coding assistant can help at several points in this sequence, but it does not supply tenant isolation, store selection, staging authority, artifact identity, approval state or recovery records by itself.
TaskerArmy treats those controls as product behavior. The model can change over time; the operational boundaries should remain understandable.
- Merchant request
- Store and theme context
- Scope and clarification
- Implementation plan
- Staging changeset
- Automated QA
- Preview and evidence
- Merchant approval
- Production verification
Boundaries
What the engineering agent should do, and when it should stop
| Suitable well-defined work | Pause, clarify or escalate |
|---|---|
| Focused Liquid, CSS and JavaScript changes | A request whose business objective is still unclear |
| Theme sections, blocks and template adjustments | A complete redesign or theme migration |
| Performance and technical SEO fixes inside the theme | ERP, PIM, WMS or custom backend architecture |
| App-code cleanup after dependencies are verified | Regulated claims, legal judgment or security exceptions |
| clear work with observable acceptance criteria | Changes requiring unrestricted access or undocumented production overrides |
What the merchant receives
An approval packet instead of a “done” message
Intent and scope
- Original merchant request
- Agent interpretation and expected outcome
- Included and excluded work
- Engineering Run estimate and final consumption
Technical evidence
- Files created, updated or deleted
- File-level diff and artifact version
- Automated check results
- AI review findings and unresolved warnings
Release decision
- Working staging preview
- Expected customer-facing impact
- Approver identity and timestamp
- Production and rollback preconditions
Product honesty
Current workflow versus systems still being hardened
| Available in the current workflow | Still being strengthened |
|---|---|
| Shopify store connection and active-theme identification | More durable execution-attempt journaling |
| Staging-theme creation and agent-prepared staging writes | Automated reconciliation after ambiguous remote failures |
| File-level changesets and merchant review | More granular exceptional-action permissions |
| Seven automated checks plus AI code review | Concurrency-safe Engineering Run reservation lifecycle |
| Explicit production decision | Stronger rollback drift protection and staging-sync evidence |
Operational state
A job should show where it is, not merely whether it is done
Engineering work can pause for clarification, fail QA, wait for approval or require verification after an ambiguous remote response. Treating every non-complete outcome as one generic error makes recovery harder and hides what the merchant should do next.
- Planning
- Clarification required
- Executing on staging
- QA failed or warning
- Preview ready
- Approved
- Deploying
- Verification required
- Completed or rolled back
Intent
Begin with the storefront behavior that needs to improve.
The agent captures the affected customer journey, constraints and acceptance criteria before deciding whether the request fits a well-defined job.
Theme map
Read how the current storefront is assembled.
Relevant Liquid, JSON templates, sections, snippets, CSS, JavaScript, locales, settings and app extensions are inspected before implementation.
Plan
Show what will change and what will remain untouched.
The plan names affected files, dependencies, expected Engineering Runs, validation steps and any uncertainty requiring merchant input.
Change set
Implement the approved scope as one attributable unit.
The delivery is a coherent diff against staging, not a collection of disconnected suggestions.
Quality gates
Block the ready state when evidence is missing.
Seven automated checks cover defined failure classes. AI review examines intent and completeness. Storefront preview confirms behavior that static tooling cannot prove.
Merchant review
Make the result understandable to technical and non-technical reviewers.
The job presents the request, plan, files, checks, preview and remaining risks before production approval.
Failure handling
Keep blocked and escalated work legible.
Missing permissions, failed checks, unclear requirements and architecture-heavy work produce explicit next actions rather than a false success state.
Continue exploring
Related TaskerArmy pages
Questions
Direct answers before installation
Can the agent work with a heavily customized theme?
Yes when the relevant architecture and dependencies can be inspected and the request remains well-defined. Highly bespoke systems may require clarification or senior review.
What happens after QA fails?
The job remains blocked or returns to revision. The failed check and the next action remain visible; the result is not presented as ready.
Can a developer review the exact files?
Yes. The product keeps the plan and file-level evidence available alongside the merchant-facing preview.
Not sure what to change first?
Start with the free audit and turn the best findings into engineering work.
TaskerArmy separates what is ready to execute, what needs clarification and what should remain informational, without turning every alert into a task.
Next step
Give the agent a real storefront problem.
Connect your store, review the audit and convert a suitable finding into the first staged job.
Product capability
The product is the controlled workflow around the model.
This page explains TaskerArmy itself: job state, store permissions, review artifacts, escalation and the merchant decision that separates staging from production.