Flow Builder vs Apex: When to Choose What?

One of the most common questions in Salesforce development: "Should I use a Flow or write Apex code?" This guide helps you make the right decision based on your context.

The "Clicks, not Code" Principle

Salesforce recommends the "Clicks, not Code" philosophy: prefer declarative tools (Flow Builder, Process Builder) over code when possible.

Why?

✅ Faster development
✅ Easier maintenance (visual interface)
✅ Fewer tests required (no 75% coverage)
✅ Accessible to non-developer admins

But beware: this principle has limits. Sometimes code is the best option.

Quick Decision Matrix

| Criteria | Flow Builder | Apex | |----------|-------------|------| | Simple logic | ✅ Excellent | ⚠️ Overkill | | Complex logic | ⚠️ Possible but verbose | ✅ Excellent | | Critical performance | ⚠️ Limited | ✅ Optimizable | | Reusability | ⚠️ Limited | ✅ Service layer | | Maintenance | ✅ Visual interface | ⚠️ Requires dev skills | | Testing | ✅ No coverage required | ❌ 75% minimum | | Debugging | ⚠️ Debug Logs | ✅ Debug logs + IDE | | Bulk operations | ⚠️ Watch limits | ✅ Full control | | External integrations | ❌ Limited HTTP callouts | ✅ Total control |

Scenarios: Flow Builder is Ideal

1. Simple CRUD Automations

Example: Auto-create a Contact when creating an Account.

Flow: "Auto-Create Primary Contact"
Type: Record-Triggered Flow
Trigger: Account - After Save - Create

Logic:
1. Get Records: Check if Contact exists for this Account
2. Decision: Contact exists?
   - No → Create Contact with default values
   - Yes → End

Why Flow?

Linear and simple logic
No complex business logic
Visible and modifiable by an admin

2. Business Validations with Error Messages

Example: Prevent deletion of Account with open Opportunities.

Flow: "Prevent Account Deletion with Open Opps"
Type: Record-Triggered Flow
Trigger: Account - Before Delete

Logic:
1. Get Records: Count Opportunities (StageName != 'Closed Won/Lost')
2. Decision: Count > 0?
   - Yes → Show Error: "Cannot delete Account with open Opportunities"
   - No → Allow deletion

Why Flow?

Simple validation based on condition
User-friendly error message
No code needed for this case

3. Calculated Field Updates

Example: Calculate total Opportunity amount for an Account.

Flow: "Calculate Account Total Opportunity Amount"
Type: Record-Triggered Flow
Trigger: Opportunity - After Save - Create, Update, Delete

Logic:
1. Get Records: Get parent Account
2. Get Records: Sum all Opportunities.Amount for this Account
3. Update Records: Update Account.Total_Opportunity_Amount__c

Why Flow?

Simple arithmetic calculation
Standard automation
Easily maintained by an admin

4. Transactional Email Sending

Example: Send welcome email after Lead creation.

Flow: "Welcome Email to New Leads"
Type: Record-Triggered Flow
Trigger: Lead - After Save - Create

Logic:
1. Decision: Lead Source = 'Web'?
   - Yes → Send Email (Email Template: "Welcome_Lead")
   - No → End

Why Flow?

Native "Send Email" action available
Email template managed via Setup
No complexity justifying code

Scenarios: Apex is Required

1. Complex Business Logic with Algorithms

Example: Dynamic pricing calculation with progressive discounts.

public class PricingEngine {
    
    public static Decimal calculatePrice(Opportunity opp) {
        Decimal basePrice = opp.Amount;
        Decimal discount = 0;
        
        // Progressive discount by tier
        if (basePrice > 100000) {
            discount = 0.15; // 15% above 100k
        } else if (basePrice > 50000) {
            discount = 0.10; // 10% between 50k-100k
        } else if (basePrice > 10000) {
            discount = 0.05; // 5% between 10k-50k
        }
        
        // Additional discount for loyal customer
        if (opp.Account.Years_as_Customer__c > 5) {
            discount += 0.05;
        }
        
        // Seasonal discount (Q4)
        if (System.today().month() >= 10) {
            discount += 0.03;
        }
        
        return basePrice * (1 - discount);
    }
}

Why Apex?

Logic with multiple nested conditions
Complex arithmetic calculations
Reusable and testable code
Flow would be too verbose and hard to maintain

2. Bulk Operations with Thousands of Records

Example: Batch update of 50,000 Contacts.

public class ContactUpdateBatch implements Database.Batchable<SObject> {
    
    public Database.QueryLocator start(Database.BatchableContext bc) {
        return Database.getQueryLocator([
            SELECT Id, MailingPostalCode, MailingCity 
            FROM Contact 
            WHERE LastModifiedDate < LAST_N_DAYS:365
        ]);
    }
    
    public void execute(Database.BatchableContext bc, List<Contact> scope) {
        // Geocoding API call for each Contact
        Map<Id, Contact> contactsToUpdate = new Map<Id, Contact>();
        
        for (Contact con : scope) {
            // Call external geocoding service
            Geocoding.Result result = GeocodingService.geocode(
                con.MailingPostalCode, 
                con.MailingCity
            );
            
            if (result.success) {
                con.Geolocation__Latitude__s = result.latitude;
                con.Geolocation__Longitude__s = result.longitude;
                contactsToUpdate.put(con.Id, con);
            }
        }
        
        if (!contactsToUpdate.isEmpty()) {
            update contactsToUpdate.values();
        }
    }
    
    public void finish(Database.BatchableContext bc) {
        // Send completion email
        Messaging.SingleEmailMessage mail = new Messaging.SingleEmailMessage();
        mail.setToAddresses(new String[] {'admin@company.com'});
        mail.setSubject('Contact Geocoding Batch Completed');
        mail.setPlainTextBody('Batch job finished successfully.');
        Messaging.sendEmail(new Messaging.SingleEmailMessage[] { mail });
    }
}

Why Apex?

Processing tens of thousands of records
External HTTP calls (geocoding API)
Fine-grained chunking control (200 records/batch)
Advanced error handling

3. Complex REST/SOAP Integrations

Example: Bidirectional integration with external ERP.

public class ERPIntegrationService {
    
    @future(callout=true)
    public static void syncOrderToERP(Id orderId) {
        Order order = [
            SELECT Id, OrderNumber, TotalAmount, Account.Name, 
                   (SELECT Product2.Name, Quantity, UnitPrice FROM OrderItems)
            FROM Order 
            WHERE Id = :orderId
        ];
        
        // Construct JSON payload
        Map<String, Object> payload = new Map<String, Object>{
            'orderNumber' => order.OrderNumber,
            'customer' => order.Account.Name,
            'totalAmount' => order.TotalAmount,
            'items' => buildOrderItems(order.OrderItems)
        };
        
        // HTTP Callout
        HttpRequest req = new HttpRequest();
        req.setEndpoint('callout:ERP_API/orders');
        req.setMethod('POST');
        req.setHeader('Content-Type', 'application/json');
        req.setBody(JSON.serialize(payload));
        req.setTimeout(120000);
        
        Http http = new Http();
        HttpResponse res = http.send(req);
        
        if (res.getStatusCode() == 201) {
            // Parse response and update Order with ERP ID
            Map<String, Object> responseData = 
                (Map<String, Object>) JSON.deserializeUntyped(res.getBody());
            
            order.ERP_Order_ID__c = (String) responseData.get('erpOrderId');
            order.ERP_Sync_Status__c = 'Synced';
            update order;
        } else {
            throw new ERPIntegrationException('ERP sync failed: ' + res.getBody());
        }
    }
    
    private static List<Map<String, Object>> buildOrderItems(List<OrderItem> items) {
        List<Map<String, Object>> result = new List<Map<String, Object>>();
        for (OrderItem item : items) {
            result.add(new Map<String, Object>{
                'productName' => item.Product2.Name,
                'quantity' => item.Quantity,
                'unitPrice' => item.UnitPrice
            });
        }
        return result;
    }
}

Why Apex?

Dynamic construction of complex JSON
Fine timeout and retry management
Structured response parsing
Error handling with custom exceptions

4. Critical Unit Testing

Example: Critical business class requiring 100% tests.

@isTest
private class PricingEngine_Test {
    
    @isTest
    static void testCalculatePrice_BaseDiscount() {
        // Arrange
        Account acc = new Account(Name = 'Test Corp', Years_as_Customer__c = 3);
        insert acc;
        
        Opportunity opp = new Opportunity(
            Name = 'Test Deal',
            AccountId = acc.Id,
            Amount = 60000,
            StageName = 'Prospecting',
            CloseDate = Date.today().addDays(30)
        );
        insert opp;
        
        // Act
        Test.startTest();
        Decimal finalPrice = PricingEngine.calculatePrice(opp);
        Test.stopTest();
        
        // Assert
        Decimal expected = 60000 * 0.90; // 10% discount
        System.assertEquals(expected, finalPrice, 
            'Price should have 10% discount for amount between 50k-100k');
    }
    
    @isTest
    static void testCalculatePrice_LoyalCustomer() {
        // Arrange
        Account acc = new Account(Name = 'Loyal Corp', Years_as_Customer__c = 7);
        insert acc;
        
        Opportunity opp = new Opportunity(
            Name = 'Test Deal',
            AccountId = acc.Id,
            Amount = 60000,
            StageName = 'Prospecting',
            CloseDate = Date.today().addDays(30)
        );
        insert opp;
        
        // Act
        Test.startTest();
        Decimal finalPrice = PricingEngine.calculatePrice(opp);
        Test.stopTest();
        
        // Assert
        Decimal expected = 60000 * 0.85; // 10% base + 5% loyalty
        System.assertEquals(expected, finalPrice, 
            'Loyal customer should get additional 5% discount');
    }
}

Why Apex?

Tests with precise assertions
Full control of test context
Validation of each logic branch
Code coverage required

Hybrid Approach: Best of Both Worlds

In many cases, the best solution is a combination of Flow + Apex.

Recommended Pattern: Flow Calls Apex

Example: French SIRET validation with external API.

1. Create an invocable Apex class:

public class SIRETValidator {
    
    @InvocableMethod(label='Validate SIRET' 
                     description='Validates French SIRET number via external API')
    public static List<Result> validateSIRET(List<Request> requests) {
        List<Result> results = new List<Result>();
        
        for (Request req : requests) {
            Result result = new Result();
            result.isValid = callSIRETAPI(req.siretNumber);
            results.add(result);
        }
        
        return results;
    }
    
    private static Boolean callSIRETAPI(String siret) {
        // HTTP Callout to SIRENE API
        HttpRequest req = new HttpRequest();
        req.setEndpoint('callout:SIRENE_API/siret/' + siret);
        req.setMethod('GET');
        
        Http http = new Http();
        HttpResponse res = http.send(req);
        
        return res.getStatusCode() == 200;
    }
    
    public class Request {
        @InvocableVariable(required=true)
        public String siretNumber;
    }
    
    public class Result {
        @InvocableVariable
        public Boolean isValid;
    }
}

2. Call from a Flow:

Flow: "Validate Account SIRET"
Type: Record-Triggered Flow
Trigger: Account - Before Save - Create, Update

Logic:
1. Decision: Country = 'France' AND SIRET changed?
   - Yes → Continue
   - No → End

2. Action: Apex - SIRETValidator.validateSIRET
   Input: SIRET__c
   Output: isValid

3. Decision: isValid = false?
   - Yes → Show Error: "Invalid SIRET number"
   - No → Allow save

Benefits:

✅ Simple and readable Flow logic
✅ Technical complexity isolated in Apex
✅ Testable (Apex tests for API call)
✅ Maintainable (admin can modify Flow, dev handles API)

Decision Checklist

Use this checklist to choose:

Prefer Flow Builder if:

[ ] Logic is linear (< 10 steps)
[ ] No complex algorithms
[ ] No external HTTP calls
[ ] < 1,000 records processed
[ ] Maintenance by non-developer admins

Prefer Apex if:

[ ] Logic with multiple nested conditions
[ ] Complex mathematical calculations
[ ] REST/SOAP integrations
[ ] Bulk processing (> 10,000 records)
[ ] Critical reusability (service layer)
[ ] Critical performance
[ ] Advanced unit tests required

Hybrid approach (Flow + invocable Apex) if:

[ ] Overall simple logic BUT one complex step
[ ] Need to call external API mid-Flow
[ ] Shared admin/developer maintenance

Conclusion

The golden rule: Always start by evaluating if Flow Builder is sufficient. If you identify a clear limitation (performance, complexity, integration), then move to Apex.

Recommended pattern:

Flow for orchestration and high-level logic
Invocable Apex for specific complex operations
Apex trigger/batch only for advanced cases

This approach balances maintainability (Flow), power (Apex), and governance (separation of concerns).

Useful Resources:

One of the most common questions in Salesforce development: "Should I use a Flow or write Apex code?" This guide helps you make the right decision based on your context.

The "Clicks, not Code" Principle

Salesforce recommends the "Clicks, not Code" philosophy: prefer declarative tools (Flow Builder, Process Builder) over code when possible.

Why?

✅ Faster development
✅ Easier maintenance (visual interface)
✅ Fewer tests required (no 75% coverage)
✅ Accessible to non-developer admins

But beware: this principle has limits. Sometimes code is the best option.

Quick Decision Matrix

Scenarios: Flow Builder is Ideal

1. Simple CRUD Automations

Example: Auto-create a Contact when creating an Account.

Flow: "Auto-Create Primary Contact"
Type: Record-Triggered Flow
Trigger: Account - After Save - Create

Logic:
1. Get Records: Check if Contact exists for this Account
2. Decision: Contact exists?
   - No → Create Contact with default values
   - Yes → End

Why Flow?

Linear and simple logic
No complex business logic
Visible and modifiable by an admin

2. Business Validations with Error Messages

Example: Prevent deletion of Account with open Opportunities.

Flow: "Prevent Account Deletion with Open Opps"
Type: Record-Triggered Flow
Trigger: Account - Before Delete

Logic:
1. Get Records: Count Opportunities (StageName != 'Closed Won/Lost')
2. Decision: Count > 0?
   - Yes → Show Error: "Cannot delete Account with open Opportunities"
   - No → Allow deletion

Why Flow?

Simple validation based on condition
User-friendly error message
No code needed for this case

3. Calculated Field Updates

Example: Calculate total Opportunity amount for an Account.

Flow: "Calculate Account Total Opportunity Amount"
Type: Record-Triggered Flow
Trigger: Opportunity - After Save - Create, Update, Delete

Logic:
1. Get Records: Get parent Account
2. Get Records: Sum all Opportunities.Amount for this Account
3. Update Records: Update Account.Total_Opportunity_Amount__c

Why Flow?

Simple arithmetic calculation
Standard automation
Easily maintained by an admin

4. Transactional Email Sending

Example: Send welcome email after Lead creation.

Flow: "Welcome Email to New Leads"
Type: Record-Triggered Flow
Trigger: Lead - After Save - Create

Logic:
1. Decision: Lead Source = 'Web'?
   - Yes → Send Email (Email Template: "Welcome_Lead")
   - No → End

Why Flow?

Native "Send Email" action available
Email template managed via Setup
No complexity justifying code

Scenarios: Apex is Required

1. Complex Business Logic with Algorithms

Example: Dynamic pricing calculation with progressive discounts.

public class PricingEngine {
    
    public static Decimal calculatePrice(Opportunity opp) {
        Decimal basePrice = opp.Amount;
        Decimal discount = 0;
        
        // Progressive discount by tier
        if (basePrice > 100000) {
            discount = 0.15; // 15% above 100k
        } else if (basePrice > 50000) {
            discount = 0.10; // 10% between 50k-100k
        } else if (basePrice > 10000) {
            discount = 0.05; // 5% between 10k-50k
        }
        
        // Additional discount for loyal customer
        if (opp.Account.Years_as_Customer__c > 5) {
            discount += 0.05;
        }
        
        // Seasonal discount (Q4)
        if (System.today().month() >= 10) {
            discount += 0.03;
        }
        
        return basePrice * (1 - discount);
    }
}

Why Apex?

Logic with multiple nested conditions
Complex arithmetic calculations
Reusable and testable code
Flow would be too verbose and hard to maintain

2. Bulk Operations with Thousands of Records

Example: Batch update of 50,000 Contacts.

public class ContactUpdateBatch implements Database.Batchable<SObject> {
    
    public Database.QueryLocator start(Database.BatchableContext bc) {
        return Database.getQueryLocator([
            SELECT Id, MailingPostalCode, MailingCity 
            FROM Contact 
            WHERE LastModifiedDate < LAST_N_DAYS:365
        ]);
    }
    
    public void execute(Database.BatchableContext bc, List<Contact> scope) {
        // Geocoding API call for each Contact
        Map<Id, Contact> contactsToUpdate = new Map<Id, Contact>();
        
        for (Contact con : scope) {
            // Call external geocoding service
            Geocoding.Result result = GeocodingService.geocode(
                con.MailingPostalCode, 
                con.MailingCity
            );
            
            if (result.success) {
                con.Geolocation__Latitude__s = result.latitude;
                con.Geolocation__Longitude__s = result.longitude;
                contactsToUpdate.put(con.Id, con);
            }
        }
        
        if (!contactsToUpdate.isEmpty()) {
            update contactsToUpdate.values();
        }
    }
    
    public void finish(Database.BatchableContext bc) {
        // Send completion email
        Messaging.SingleEmailMessage mail = new Messaging.SingleEmailMessage();
        mail.setToAddresses(new String[] {'admin@company.com'});
        mail.setSubject('Contact Geocoding Batch Completed');
        mail.setPlainTextBody('Batch job finished successfully.');
        Messaging.sendEmail(new Messaging.SingleEmailMessage[] { mail });
    }
}

Why Apex?

Processing tens of thousands of records
External HTTP calls (geocoding API)
Fine-grained chunking control (200 records/batch)
Advanced error handling

3. Complex REST/SOAP Integrations

Example: Bidirectional integration with external ERP.

public class ERPIntegrationService {
    
    @future(callout=true)
    public static void syncOrderToERP(Id orderId) {
        Order order = [
            SELECT Id, OrderNumber, TotalAmount, Account.Name, 
                   (SELECT Product2.Name, Quantity, UnitPrice FROM OrderItems)
            FROM Order 
            WHERE Id = :orderId
        ];
        
        // Construct JSON payload
        Map<String, Object> payload = new Map<String, Object>{
            'orderNumber' => order.OrderNumber,
            'customer' => order.Account.Name,
            'totalAmount' => order.TotalAmount,
            'items' => buildOrderItems(order.OrderItems)
        };
        
        // HTTP Callout
        HttpRequest req = new HttpRequest();
        req.setEndpoint('callout:ERP_API/orders');
        req.setMethod('POST');
        req.setHeader('Content-Type', 'application/json');
        req.setBody(JSON.serialize(payload));
        req.setTimeout(120000);
        
        Http http = new Http();
        HttpResponse res = http.send(req);
        
        if (res.getStatusCode() == 201) {
            // Parse response and update Order with ERP ID
            Map<String, Object> responseData = 
                (Map<String, Object>) JSON.deserializeUntyped(res.getBody());
            
            order.ERP_Order_ID__c = (String) responseData.get('erpOrderId');
            order.ERP_Sync_Status__c = 'Synced';
            update order;
        } else {
            throw new ERPIntegrationException('ERP sync failed: ' + res.getBody());
        }
    }
    
    private static List<Map<String, Object>> buildOrderItems(List<OrderItem> items) {
        List<Map<String, Object>> result = new List<Map<String, Object>>();
        for (OrderItem item : items) {
            result.add(new Map<String, Object>{
                'productName' => item.Product2.Name,
                'quantity' => item.Quantity,
                'unitPrice' => item.UnitPrice
            });
        }
        return result;
    }
}

Why Apex?

Dynamic construction of complex JSON
Fine timeout and retry management
Structured response parsing
Error handling with custom exceptions

4. Critical Unit Testing

Example: Critical business class requiring 100% tests.

@isTest
private class PricingEngine_Test {
    
    @isTest
    static void testCalculatePrice_BaseDiscount() {
        // Arrange
        Account acc = new Account(Name = 'Test Corp', Years_as_Customer__c = 3);
        insert acc;
        
        Opportunity opp = new Opportunity(
            Name = 'Test Deal',
            AccountId = acc.Id,
            Amount = 60000,
            StageName = 'Prospecting',
            CloseDate = Date.today().addDays(30)
        );
        insert opp;
        
        // Act
        Test.startTest();
        Decimal finalPrice = PricingEngine.calculatePrice(opp);
        Test.stopTest();
        
        // Assert
        Decimal expected = 60000 * 0.90; // 10% discount
        System.assertEquals(expected, finalPrice, 
            'Price should have 10% discount for amount between 50k-100k');
    }
    
    @isTest
    static void testCalculatePrice_LoyalCustomer() {
        // Arrange
        Account acc = new Account(Name = 'Loyal Corp', Years_as_Customer__c = 7);
        insert acc;
        
        Opportunity opp = new Opportunity(
            Name = 'Test Deal',
            AccountId = acc.Id,
            Amount = 60000,
            StageName = 'Prospecting',
            CloseDate = Date.today().addDays(30)
        );
        insert opp;
        
        // Act
        Test.startTest();
        Decimal finalPrice = PricingEngine.calculatePrice(opp);
        Test.stopTest();
        
        // Assert
        Decimal expected = 60000 * 0.85; // 10% base + 5% loyalty
        System.assertEquals(expected, finalPrice, 
            'Loyal customer should get additional 5% discount');
    }
}

Why Apex?

Tests with precise assertions
Full control of test context
Validation of each logic branch
Code coverage required

Hybrid Approach: Best of Both Worlds

In many cases, the best solution is a combination of Flow + Apex.

Recommended Pattern: Flow Calls Apex

Example: French SIRET validation with external API.

1. Create an invocable Apex class:

public class SIRETValidator {
    
    @InvocableMethod(label='Validate SIRET' 
                     description='Validates French SIRET number via external API')
    public static List<Result> validateSIRET(List<Request> requests) {
        List<Result> results = new List<Result>();
        
        for (Request req : requests) {
            Result result = new Result();
            result.isValid = callSIRETAPI(req.siretNumber);
            results.add(result);
        }
        
        return results;
    }
    
    private static Boolean callSIRETAPI(String siret) {
        // HTTP Callout to SIRENE API
        HttpRequest req = new HttpRequest();
        req.setEndpoint('callout:SIRENE_API/siret/' + siret);
        req.setMethod('GET');
        
        Http http = new Http();
        HttpResponse res = http.send(req);
        
        return res.getStatusCode() == 200;
    }
    
    public class Request {
        @InvocableVariable(required=true)
        public String siretNumber;
    }
    
    public class Result {
        @InvocableVariable
        public Boolean isValid;
    }
}

2. Call from a Flow:

Flow: "Validate Account SIRET"
Type: Record-Triggered Flow
Trigger: Account - Before Save - Create, Update

Logic:
1. Decision: Country = 'France' AND SIRET changed?
   - Yes → Continue
   - No → End

2. Action: Apex - SIRETValidator.validateSIRET
   Input: SIRET__c
   Output: isValid

3. Decision: isValid = false?
   - Yes → Show Error: "Invalid SIRET number"
   - No → Allow save

Benefits:

✅ Simple and readable Flow logic
✅ Technical complexity isolated in Apex
✅ Testable (Apex tests for API call)
✅ Maintainable (admin can modify Flow, dev handles API)

Decision Checklist

Use this checklist to choose:

Prefer Flow Builder if:

[ ] Logic is linear (< 10 steps)
[ ] No complex algorithms
[ ] No external HTTP calls
[ ] < 1,000 records processed
[ ] Maintenance by non-developer admins

Prefer Apex if:

[ ] Logic with multiple nested conditions
[ ] Complex mathematical calculations
[ ] REST/SOAP integrations
[ ] Bulk processing (> 10,000 records)
[ ] Critical reusability (service layer)
[ ] Critical performance
[ ] Advanced unit tests required

Hybrid approach (Flow + invocable Apex) if:

[ ] Overall simple logic BUT one complex step
[ ] Need to call external API mid-Flow
[ ] Shared admin/developer maintenance

Conclusion

The golden rule: Always start by evaluating if Flow Builder is sufficient. If you identify a clear limitation (performance, complexity, integration), then move to Apex.

Recommended pattern:

Flow for orchestration and high-level logic
Invocable Apex for specific complex operations
Apex trigger/batch only for advanced cases

This approach balances maintainability (Flow), power (Apex), and governance (separation of concerns).

Useful Resources:

Flow Builder vs Apex: When to Choose What?

The "Clicks, not Code" Principle

Quick Decision Matrix

Scenarios: Flow Builder is Ideal

1. Simple CRUD Automations

2. Business Validations with Error Messages

3. Calculated Field Updates

4. Transactional Email Sending

Scenarios: Apex is Required

1. Complex Business Logic with Algorithms

2. Bulk Operations with Thousands of Records

3. Complex REST/SOAP Integrations

4. Critical Unit Testing

Hybrid Approach: Best of Both Worlds

Recommended Pattern: Flow Calls Apex

Decision Checklist

Conclusion

Related posts

Flow Builder vs Apex: When to Choose What?

The "Clicks, not Code" Principle

Quick Decision Matrix

Scenarios: Flow Builder is Ideal

1. Simple CRUD Automations

2. Business Validations with Error Messages

3. Calculated Field Updates

4. Transactional Email Sending

Scenarios: Apex is Required

1. Complex Business Logic with Algorithms

2. Bulk Operations with Thousands of Records

3. Complex REST/SOAP Integrations

4. Critical Unit Testing

Hybrid Approach: Best of Both Worlds

Recommended Pattern: Flow Calls Apex

Decision Checklist

Conclusion

Related posts