Training course · Agentic Coding · Salesforce Development

Agentic Coding for Salesforce Developers

Use autonomous coding agents effectively: specs instead of prompts, task decomposition, test-driven loops, multi-agent setups and governance.

Duration
2 days (14 hrs)
Format
Online or on-site
Language
German or English
Participants
open dates or exclusive for your team
Certificate
Certificate of attendance

Overview

This course connects Agentic Coding with the everyday processes of Salesforce Development. Participants work on realistic scenarios and leave with prompts, workflows and checklists they can use straight away.

Agentic coding means working with AI agents that carry out development tasks largely on their own: they read code, plan changes, run commands and tests, and correct themselves based on the results. Tools such as Claude Code, OpenAI Codex, the GitHub Copilot coding agent and Cursor’s agent mode have made this way of working practical for everyday use. This vendor-neutral course teaches the underlying methodology so that you achieve reliable results whatever the tool, and redefine the developer’s role within your engineering team.

The core shift is from ad hoc prompts to robust specifications. You will learn to decompose and describe tasks so that agents solve them reliably, to set up test-driven loops in which tests act as objective acceptance criteria, and to run several agents in parallel or with a division of labour. We also cover review strategies for agent-generated code and team governance: permissions, security boundaries, accountability, cost control and the gradual introduction of agentic workflows into your existing development processes.

Salesforce orgs grow over the years into complex platforms of Apex classes, triggers, flows, Lightning Web Components and integrations. AI coding assistants and agents help Salesforce developers write Apex and LWC faster, generate test classes with meaningful coverage, account for governor limits early and move sprawling trigger logic into clean frameworks. They support SOQL optimisation, metadata analysis and the migration from Process Builder and workflow rules to Flow. Because Salesforce code must be multi-tenant aware, bulkified and security-conscious, AI needs targeted context and clear rules. In this course you learn to combine AI tools with Salesforce CLI, scratch orgs and your DevOps pipeline while reliably respecting sharing rules, field-level security and platform limits.

The course is delivered live – either online in a virtual classroom or on-site in our training rooms in Munich, Salzburg, Berlin, Augsburg, Hanover, Bremen, Stuttgart and Kaiserslautern. We can also run it exclusively for your team.

Who is this course for?

  • Salesforce developers working with Apex and Lightning Web Components
  • Salesforce architects and technical leads
  • Salesforce administrators who also develop
  • Integration developers building Salesforce interfaces
  • Salesforce consultancies and partner teams

Typical challenges we address

  • Governor limits, bulkification and trigger recursion cause hard-to-reproduce errors
  • Mandatory test coverage consumes a lot of time writing test classes
  • Mature orgs with overlapping triggers, flows and processes and no documentation
  • Security requirements such as CRUD and FLS checks and sharing are often forgotten in code

What you will be able to do

  • You understand how coding agents work and choose the right tool and level of autonomy.
  • You write specifications and project context that agents can work with reliably.
  • You break initiatives into verifiable sub-tasks and steer agents through test-driven loops.
  • You use multi-agent setups and parallel work in a controlled way.
  • Develop Apex and Lightning Web Components with AI support that are bulkified, secure and within limits.
  • Generate meaningful test classes and analyse org metadata systematically with AI agents.
  • Integrate AI tools with Salesforce CLI, scratch orgs and your deployment pipeline.

Course outline

Day 1

Module 1 Foundations of agentic development
  • How coding agents work: tool calls, context windows and feedback loops
  • Comparing tools: terminal agents, IDE agents and cloud agents
  • Recognising suitable tasks and choosing levels of autonomy deliberately
  • The new role in the team: from implementation to steering and acceptance
Module 2 Specifications instead of prompts
  • Describing tasks with goal, context, constraints and acceptance criteria
  • Keeping project context in files such as CLAUDE.md, AGENTS.md or rules
  • Plan-first approach: let the agent draft a solution and review it before implementation
  • Versioning specifications and maintaining them as part of the repository
Module 3 Task decomposition and test-driven agent loops
  • Breaking large initiatives into independent, verifiable sub-tasks
  • Having tests written first and using them as an objective stopping criterion
  • Using linters, type checks and builds as automatic feedback
  • Recognising stuck loops and restarting with a new strategy
Module 4 Multi-agent setups and parallel work
  • Defining specialised subagents for research, implementation, testing and review
  • Organising parallel work with branches, worktrees and isolated environments
  • Orchestration: merging results and resolving conflicts
  • Sharing tools and data sources through MCP

Day 2

Module 5 Review, security and team governance
  • Review strategies for large, agent-generated changes
  • Defining permissions, sandboxing and protection against prompt injection
  • Embedding agents in CI pipelines and pull request processes
  • Planning team guidelines, accountability, costs and a phased rollout
Module 6 Practice lab: Salesforce Development
  • Writing bulkified Apex
  • Generating test classes
  • Building Lightning Web Components
  • Optimising SOQL and performance
  • Analysing org metadata
  • Preparing for security review
Module 7 Data protection, quality & transfer to daily work
  • Salesforce orgs hold customer and sales data: you learn to share only metadata and anonymised samples with AI services, protect credentials and connected app secrets, implement GDPR requirements for data retention and clarify licensing questions around generated code in AppExchange packages.
  • Ground rules for safe AI use in your team
  • Checking results: facts, sources, tests and the four-eyes principle
  • Personal action plan for the next 30 days
  • Open questions, outlook and resources for further learning

Practical scenarios from your field

Writing bulkified Apex

Generate trigger handlers, service classes and batch or queueable jobs that keep SOQL and DML out of loops, respect governor limits and apply patterns such as trigger frameworks consistently.

Generating test classes

Create meaningful Apex tests with test data factories, positive and negative cases, bulk scenarios and assertions that verify real logic rather than just coverage, including mocks for callouts.

Building Lightning Web Components

Develop LWC components with wire adapters, Apex controllers, Lightning Data Service and Jest tests, and migrate existing Aura components step by step. Accessibility and loading states are covered too.

Optimising SOQL and performance

Write selective queries, interpret Query Plan results, spot large data volume issues and propose alternatives such as custom indexes, skinny tables or asynchronous processing. This prevents timeouts as data grows.

Analysing org metadata

Evaluate retrieved metadata to document automations per object, dependencies between fields, flows and Apex, and unused components, and plan clean-up work. The result is finally up-to-date documentation.

Preparing for security review

Examine Apex and LWC for missing CRUD and FLS checks, SOQL injection, unsafe sharing settings and cross-site scripting, and implement fixes using user mode and stripInaccessible.

Possible hands-on projects

Automation map

A script that reads an org’s metadata and shows every trigger, flow and validation rule per object, including execution order, in one overview.

Test data factory generator

A tool that produces a reusable Apex factory from object and field definitions, with required fields and valid picklist values.

LWC dashboard component

A Lightning Web Component that aggregates an account’s key figures from several objects and displays them with filters and drill-down.

Prerequisites

You have several years of development experience, are confident with Git, testing and CI, and ideally have already used AI coding tools. You already develop in Apex or Lightning Web Components and have a working knowledge of the Salesforce data model, governor limits and Salesforce CLI.

Technical requirements

Your own laptop with Git, a terminal and your development environment, plus access to at least one coding agent such as Claude Code, Codex, Copilot or Cursor.

Data protection & compliance

Salesforce orgs hold customer and sales data: you learn to share only metadata and anonymised samples with AI services, protect credentials and connected app secrets, implement GDPR requirements for data retention and clarify licensing questions around generated code in AppExchange packages.

Suggested dates

All dates are suggestions – your preferred date is always possible.

  • Wed, 25 November 2026 – Thu, 26 November 2026 Online Request
  • Wed, 9 December 2026 – Thu, 10 December 2026 Salzburg Request
  • Wed, 16 December 2026 – Thu, 17 December 2026 Online Request
  • Thu, 7 January 2027 – Fri, 8 January 2027 Online Request
  • Thu, 21 January 2027 – Fri, 22 January 2027 Bremen Request
  • Thu, 28 January 2027 – Fri, 29 January 2027 Online Request

Frequently asked questions

How does agentic coding differ from vibe coding?

Vibe coding relies on fast, intuitive iteration in natural language and is particularly suited to prototypes. Agentic coding is an engineering discipline for professional codebases: precise specifications, tests as acceptance criteria, clear permissions and structured reviews ensure that agents deliver reliable, maintainable results even in complex, long-lived projects.

Is the course tied to a specific tool?

No. The course teaches methods that work with Claude Code, OpenAI Codex, the GitHub Copilot coding agent, Cursor and comparable tools. The exercises highlight differences and common ground, for example in context files, permissions and subagents. You can work with whichever tool your organisation already uses or plans to adopt.

How do we stay in control of quality and security with autonomous agents?

Control comes from several layers: tightly scoped permissions and sandboxing, tests and static analysis as automatic checks, mandatory human review before merging, and clear team rules on accountability. During the course you develop a governance concept that fits your processes, security requirements and regulatory obligations.

How well do general-purpose AI assistants know Apex and Salesforce specifics?

Current models handle Apex syntax and common patterns well. Weaknesses show up around governor limits, bulkification and org-specific objects. With rule files covering your trigger framework, naming conventions and security standards, plus retrieved metadata as context, results become far more reliable. In the course you build exactly this context for your org.

Should an AI agent deploy straight into our Salesforce org?

We recommend letting agents work in scratch orgs or sandboxes and promoting changes to higher environments through version control and your deployment pipeline. That preserves reviews, test runs and approvals. Production orgs should be reachable by agents read-only at most, using a restricted user. You practise this way of working hands-on in the course.

How much does “Agentic Coding for Salesforce Developers” cost?

The course costs a flat €949 plus VAT per participant – whether online or on-site. This includes 2 training day(s) with a live trainer, course materials, a lab environment and a certificate of attendance.

Can I suggest my own date?

Yes. Our suggested dates are just a guide. In the request form you can always describe your preferred date or period in free text – we check availability and confirm within one working day.

Is the course online or on-site?

Both are possible: live online in a virtual classroom or on-site in Munich, Salzburg, Berlin, Augsburg, Hanover, Bremen, Stuttgart or Kaiserslautern. We can also run the course exclusively for your team.

More courses for Salesforce Developers

More Agentic Coding courses

All 32 Agentic Coding courses

Agentic Coding · MunichAgentic Coding · SalzburgAgentic Coding · BerlinAgentic Coding · AugsburgAgentic Coding · HanoverAgentic Coding · BremenAgentic Coding · StuttgartAgentic Coding · KaiserslauternAgentic Coding · Online