Flow
Declarative automation with clear structure, consistent naming and documentation.
Development & automation
Implementation vs. Development. Reasoned Choice in the AI Era
Building automations and custom development on Salesforce with a deliberate choice between declarative and code, based on complexity, performance and maintenance cost - including testing, version control and technical-debt reduction.
Capability map
What's included, and in what order
Development & Automation — Capability Map
Flow
Declarative automation with clear structure, consistent naming and documentation.
Apex
Complex logic, high volumes and real unit tests.
LWC
Purpose-built interfaces that speed up everyday work.
Platform Events
Decoupling systems through events instead of direct calls.
Testing & quality
Meaningful, not just formal, test coverage, plus code review.
Version control
Sandboxes, controlled release, and change documentation.
Background
What actually determines the outcome
Most technical debt in Salesforce doesn't come from bad code — it comes from a pile-up of automations built separately on the same object, with nobody seeing the full picture.
The practical rule is simple: whatever can be solved declaratively and clearly should be built that way. Whatever requires complex logic, high volume, or precise control over execution order is justified in code, with tests.
Every automation needs an owner and documentation. An automation nobody understands the purpose of will sit in the system for years and quietly break things.
What we do
Areas of work
Apex
Complex logic, high volumes and real unit tests.
LWC
Purpose-built interfaces that speed up everyday work.
Platform Events
Decoupling systems through events instead of direct calls.
Testing & quality
Meaningful, not just formal, test coverage, plus code review.
Version control
Sandboxes, controlled release, and change documentation.
Decision matrix
The decisions that determine the outcome
| Requirement | Declarative | Code | What decides it |
|---|---|---|---|
| Field updates and conditions | Flow | — | Simplicity and maintainability |
| Logic with many exceptions | Hard to maintain | Apex | Number of conditions and calls |
| High record volume | May hit limits | Optimized Apex | Scale of processing |
| Purpose-built interface | Standard page | LWC | Complexity of the interaction |
| Publishing to multiple systems | Direct calls | Platform Events | Number of consumers and failure tolerance |
Field updates and conditions
- Declarative
- Flow
- Code
- —
- What decides it
- Simplicity and maintainability
Logic with many exceptions
- Declarative
- Hard to maintain
- Code
- Apex
- What decides it
- Number of conditions and calls
High record volume
- Declarative
- May hit limits
- Code
- Optimized Apex
- What decides it
- Scale of processing
Purpose-built interface
- Declarative
- Standard page
- Code
- LWC
- What decides it
- Complexity of the interaction
Publishing to multiple systems
- Declarative
- Direct calls
- Code
- Platform Events
- What decides it
- Number of consumers and failure tolerance
How we work
Delivery steps
- 01
Map existing automations
What's running on each object and in what order.
- 02
Decide the approach
Declarative or code, with a documented rationale.
- 03
Build
Naming standard, modularity and duplicate prevention.
- 04
Testing
Positive and negative scenarios, not just coverage.
- 05
Release
Sandbox, review and a defined release window.
- 06
Cleanup
Remove redundant automation and reduce debt.
Keep exploring
Related services and guides
FAQ
Development & automation — questions we hear often
Is Flow always better than Apex?
No. Flow is preferable when the logic is simple and clear, because it's cheap to maintain and accessible to admins too. When there's complex logic, high volumes, or a need for precise control over execution order, Apex with tests is the safer choice.
How many automations are allowed on one object?
The count matters less than transparency. The real problem starts when nobody knows what's running and in what order. A tidy standard and documentation matter more than a rigid rule.
What counts as technical debt here?
Duplicate automations, untested code, unused fields, overly broad permissions and ownerless logic. All of these increase the risk of any future change.
Do we need a DevOps tool?
Yes, once you have more than one developer or a steady release cadence. In a small environment, a disciplined sandbox process and documentation may be enough at first.
Next step
Review your automation layer
We'll map what's running today, flag duplicates, and define a standard your team can actually maintain.
Next step
Review your automation layer
We'll map what's running today, flag duplicates, and define a standard your team can actually maintain.