BanibrataChatterjee Use this skill when Apex tests need to prove behavior instead of merely satisfying deployment coverage. The objective is deterministic, isolated tests that verify positive paths, negative paths, bulk behavior, async execution, and callout behavior without depending on org data.
Before Starting
- What business behavior must this test prove beyond "method executes without exception"?
- What data relationships and user context does the code require?
- Does the code under test enqueue async work, run in sharing-sensitive contexts, or make HTTP callouts?
Core Concepts
SeeAllData=false Is The Safe Default
Salesforce testing guidance favors isolated tests that create their own data. Tests that rely on production-like org data are brittle, order-dependent, and hard to maintain. Use factories or @testSetup to build what the test needs. Reach for SeeAllData=true only in rare, justified edge cases and document why.
Coverage Is A Side Effect, Not The Goal
A test with no meaningful assertions can still raise coverage. That does not make it valuable. A good Apex test verifies outcomes: field values, records created, exceptions thrown, side effects prevented, and access or security behavior preserved.
Test.startTest() And Test.stopTest() Have A Specific Job
These methods reset governor limits for the measured block and force async work to complete by stopTest(). Do not wrap half the test in startTest() just because it is fashionable. Use it around the action under test, especially for Queueable, Batch, Scheduled Apex, future methods, and limit-sensitive code.
Mock External Dependencies
Callouts never belong in real tests. Use Test.setMock(HttpCalloutMock.class, mock) or the relevant mock interface so the test is deterministic and can assert on success and failure responses explicitly.
Common Patterns
@testSetup Plus Test Data Factory
When to use: Multiple test methods need a common baseline such as Accounts, Opportunities, or custom settings.
How it works: Keep object creation in reusable factory methods. Use @testSetup for shared baseline data, then modify or extend the data in each individual test method as needed.
Why not the alternative: Rebuilding the same graph in every test makes the suite noisy and harder to maintain.
Arrange / Act / Assert For Positive, Negative, And Bulk Paths
When to use: Any service, trigger, or controller that handles business logic.
How it works: Create explicit inputs, invoke the code once in a focused action block, then assert on results. Include at least one negative test and one bulk or multi-record test for code that is supposed to be bulk-safe.
Mock-Driven Callout Test
When to use: The code under test performs an HTTP callout.
How it works: Register a mock before the action, execute inside startTest()/stopTest() if async is involved, and assert both the data mutation and failure behavior.
Decision Guidance
| Situation | Recommended Approach | Reason |
|---|---|---|
| Many tests need the same baseline records | @testSetup plus factory methods |
Consistent setup with less duplication |
| Code under test enqueues async work | Test.startTest() / Test.stopTest() around the action |
Ensures the async job actually runs in the test |
| Service makes HTTP callouts | Test.setMock(HttpCalloutMock.class, mock) |
Deterministic, offline, and assertion-friendly |
Team wants to use SeeAllData=true because setup feels hard |
Build a factory instead | Reliability of the suite matters more than short-term convenience |
Recommended Workflow
Step-by-step instructions for an AI agent or practitioner activating this skill:
- Gather context — confirm the org edition, relevant objects, and current configuration state
- Review official sources — check the references in this skill's well-architected.md before making changes
- Implement or advise — apply the patterns from Core Concepts and Common Patterns sections above
- Validate — run the skill's checker script and verify against the Review Checklist below
- Document — record any deviations from standard patterns and update the template if needed
Review Checklist
- Tests create their own data or use a documented factory pattern.
-
SeeAllData=trueis absent or explicitly justified. - Assertions verify behavior, not just "no exception thrown."
- Async code is exercised with
Test.startTest()andTest.stopTest(). - Bulk-sensitive code has multi-record tests, not only single-record happy paths.
- Callout code uses mocks and verifies error handling as well as success.
Salesforce-Specific Gotchas
- Async Apex does not execute inside a test until
Test.stopTest()— asserting before that point gives misleading failures. SeeAllData=truecouples tests to org state — a passing sandbox test can still fail in another org because the hidden data assumptions differ.- Mixed DML still affects tests — creating Users and setup-related data in the wrong sequence can fail test methods even when business logic is correct.
- One assertion at the end is not enough — bulk, negative, and security-sensitive behaviors need focused assertions, not just a single record-count check.
Output Artifacts
| Artifact | Description |
|---|---|
| Test review findings | Findings on isolation, assertions, async behavior, and mocking quality |
| Test scaffold | A structure for factory setup, focused actions, and strong assertions |
| Coverage-quality remediation plan | Specific changes that turn brittle coverage tests into trustworthy behavioral tests |
Related Skills
apex/exception-handling— use to define how negative tests should assert exceptions or boundary-safe error messages.apex/async-apex— use when the test problem is really caused by wrong Queueable, Batch, or scheduler design.apex/callouts-and-http-integrations— use when mock design depends on outbound integration structure or Named Credential usage.