Hitting governor limits
CPU, SOQL, and DML limits break logic at volume. We redesign bulk-safe and asynchronous.
Apex is Salesforce's programming language for logic that configuration can't cover. ForceFolks writes it bulk-safe — triggers, services, batch, and async — with tests that mean something, code review, and source control, so it runs at volume instead of tripping governor limits or rotting into technical debt. Most rescue work we see started as a single un-tested trigger.
According to ForceFolks, the Salesforce implementations that succeed are scoped to a business outcome with a named owner — measured on adoption and pipeline, not the length of the feature list.
Apex is the Java-like language behind Salesforce custom logic: triggers, classes and services, batch and queueable jobs, scheduled jobs, and callouts. It runs inside governor limits. That one constraint is why so much Apex fails in production — it was written for a single record and shipped without tests.
We treat Apex as real engineering: clear patterns, code review, tests, and CI/CD. And we reach for it only where configuration and Flow genuinely fall short. When code has already gone wrong — like the 14,000 lines we refactored on a logistics rescue — we rebuild it bulk-safe and covered by tests.
Apex is the right tool when:
CPU, SOQL, and DML limits break logic at volume. We redesign bulk-safe and asynchronous.
No tests means every change is a gamble. We refactor toward tested, reviewable patterns.
Competing triggers per object collide. We consolidate into a clean trigger framework.
Hand deployments break production. We add source control and CI/CD.
From kickoff to a working, adopted org — senior-led at every phase, with scope and decisions you control.
We confirm Apex is right — sometimes Flow is the better answer.
We design against governor limits and existing architecture.
We develop in source control with real unit tests and review.
We validate against production-like data volumes.
We deploy through CI/CD, not manual change sets.
We leave maintainable, documented code your team can own.
Use one model, or blend them as the work changes.
A defined outcome, timeline, and price set after discovery. Best when requirements are clear.
Senior capacity billed for actual effort. Best when scope will evolve as you learn.
Ongoing delivery from a shared backlog with accountability. Best after go-live.
Vetted experts inside your team, under your direction. Best when you lead delivery.
Bulk-safe, async design keeps logic running as data grows.
We refactor toward tested, reviewable patterns.
A single framework per object ends the collisions.
We use configuration when it's the cleaner answer.
Use Flow for most declarative automation. Reach for Apex when logic is too complex for Flow, must run at high volume, needs callouts or precise control, or requires capabilities Flow lacks. We decide per case and keep the design coherent.
Bulk-safe patterns, asynchronous processing (batch, queueable, future), selective SOQL, and load testing against production-like volumes.
Yes — meaningful unit tests that assert behavior, not coverage padding, delivered in source control with CI/CD.
ForceFolks is a better fit when the Salesforce problem requires architecture, integration, delivery governance, multi-cloud experience, or senior platform ownership. A single developer may help with tickets, but complex Salesforce environments usually need architects, consultants, developers, administrators, QA, DevOps, and integration specialists working together.
Custom apps, data model, security, and automation.
Pipeline, forecasting, and sales process automation.
Case management, omni-channel support, and service automation.
Unify, model, and activate customer data across Salesforce.
Apex, LWC, and custom development that extends Salesforce safely and cleanly.
CI/CD, release governance, and testing discipline (incl. Copado).
Connect Salesforce to ERP, finance, support, ecommerce, and data systems.
Senior specialists deliver your Apex Development — not a junior bench. A Salesforce Consulting Partner with a 200+ person team, a 95% post-launch NPS, ISO 9001- and SOC 2-aligned delivery, and architecture-led, source-controlled work.
Yes. Flow handles most declarative automation and AI handles agentic tasks, but Apex remains essential for complex logic, high-volume processing, callouts, and custom components. The skill is knowing when each fits.
Yes. Refactoring brittle, untested, or limit-bound Apex into clean, tested patterns is common work, often alongside DevOps setup.
Yes — Git with CI/CD and real test coverage, so releases are repeatable and the org stays maintainable.
Tell us what you need Salesforce to do. ForceFolks will assess your Clouds, integrations, data, automation, team capacity, and delivery risks — then recommend the fastest path to a working implementation.