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Yes. Governor-limit discipline is the first thing we verify. Every Apex developer we place writes bulkified code that operates on collections rather than single records, keeps SOQL queries and DML statements outside of for loops, and uses maps and sets to avoid the 100-query and 150-DML synchronous limits. They understand the difference between synchronous and asynchronous limits, and reach for Batch Apex, Queueable, or future methods when a job needs to process more than 50,000 records or hit higher heap and CPU ceilings. They profile transactions with the Limits class and the developer console, watch the CPU time limit that often bites before query limits do, and use Platform Cache and selective SOQL with indexed fields to stay fast. The PM confirms your org type and data volumes so the developer designs within the right limit envelope from day one.

Yes. Our Apex developers follow the one-trigger-per-object pattern and route logic through a trigger handler class so context (before/after, insert/update/delete) is dispatched cleanly and unit-tested in isolation. They guard against recursion with static flags or a recursion-control utility, bulkify every branch to handle 200-record batches from Data Loader, and avoid hard-coded IDs by querying configuration from Custom Metadata or Custom Settings. They know when to use trigger logic versus a Flow or a Process and will recommend the lowest-code option that meets the requirement. For complex domains they apply patterns from frameworks like fflib (Apex Enterprise Patterns) with service, domain, and selector layers so logic stays testable and maintainable. Every trigger ships with ApexUnit tests that assert behaviour, not just coverage.

Apex integration work is core to what we staff. Developers build inbound REST services with @RestResource and outbound callouts with HttpRequest, wrapping them in Named Credentials so endpoints, auth, and tokens stay out of the code. They implement OAuth 2.0 flows, handle the callout-after-DML restriction using Queueable or @future(callout=true), and design for idempotency and retry on partner failures. They parse and serialise with JSON.deserialize and typed wrapper classes, respect the 100-callout and timeout limits, and use Platform Events or Change Data Capture for event-driven patterns instead of polling. For high-volume integrations they apply the Bulk API and batch the payloads. They also mock callouts in tests with HttpCalloutMock so coverage does not depend on live endpoints. The PM confirms which external systems you integrate so the right protocol is targeted.

A PM is assigned within 10 minutes of booking and scopes your requirement on the first call. For a clearly defined task a trigger fix, a single REST service, a batch job, an LWC-backed controller a vetted Apex developer typically starts the same day. We offer three engagement models: project-based (a fixed deliverable with milestones, ideal for a defined integration or feature), dedicated (a developer embedded with your team full-time for a sprint or longer), and on-call burst capacity (hours drawn down as production issues arise). You can scale up or down between sprints and cancel after any engagement. The PM coordinates the developer with your admins and release managers so sandboxes, deployment, and permissions are never a blocker.

Yes. Every Apex developer we place works to a source-driven workflow. They build in a scratch org or developer sandbox, version everything in Git with the Salesforce DX (SFDX) source format, and deploy through CI using the sf CLI or a tool like Gearset or Copado rather than manual change sets where possible. They write meaningful ApexUnit tests with Test.startTest/stopTest, TestSetup data factories, and System.assert statements that verify behaviour not tests written only to hit the 75% coverage gate. They use mock callouts, run tests in the target org before promotion, and document deployment steps and post-deployment config. If your team still relies on change sets, the developer will package and validate the inbound set against your release window. The PM aligns the developer to your branching and release process.