SFDCAMPLIFIED | SMRITI SHARAN
You have so many choices in 2026 to vibe code, which you didn’t have a year ago. However, that choice makes it most confusing which AI tool is best for which scenario.
Knowing this will give immense power in your hand.
Let’s get started: Happy Learning!!!
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What you’ll learn
- How to Setup Agentforce Vibes (Step by Step Setup with Screenshots for every step)
- Pricing Comparison
- Real time scenarios where Agentforce Vibes Lack
- Deep Dive comparison on when to use Claude Code vs Agentforce Vibes
Prerequisites
- Salesforce Developer Edition org (free at developer.salesforce.com)
- VS Code installed with Salesforce Extension Pack
- Salesforce CLI (sf) installed and org authenticated
- A DX project initialized with basic metadata retrieved
The stack for this walkthrough
- VS Code with Salesforce Extension Pack
- Agentforce Vibes extension v3.32.0
- Salesforce CLI authenticated to MyDevOrg
- Project: salesforce-mcp-demo (DX project with FSL metadata retrieved)
Part 1 — Install & set up Agentforce Vibes
Install from Extensions
Open VS Code’s Extensions panel (Ctrl+Shift+X), search for “Agentforce Vibes”, and install. The extension is free, a paid Flex Credits model activates after June 1, 2026.
Verify command availability
Open the Command Palette with Ctrl+Shift+P and type “Agentforce”. If the extension installed correctly, you’ll see a set of Agentforce commands including “Let’s Vibe” (the main entry point), “Sign In”, and workflow-related commands.
Restart after install
After installing, VS Code will prompt you to restart for XML Language Server changes. Accept.
Part 2 — First launch & org connection
The “Let’s Vibe” welcome screen
Click the Agentforce Vibes icon in the VS Code activity bar (left sidebar) to open the main panel. The welcome screen shows five starting-point options — from scratch, from existing code, template-based, from a Salesforce DX project, or using a connected org’s metadata.
Note: The free-access notice at the top (“discontinuing June 1, 2026”) is your planning cue — pilot now, budget for Flex Credits for Q3.
Org auto-connection
After restart, check the bottom status bar. If you had a default Salesforce CLI org set (sf config set target-org), Vibes auto-connects to it — no separate Agentforce login needed. The status bar will show your org alias (in my case, MyDevOrg).
Part 3 — Your first agentic workflow
This is where Agentforce Vibes differentiate from basic Copilot-style tools. Instead of line-by-line autocomplete, you give Vibes a structured prompt describing a complete feature, and it executes an agentic multi-step workflow.
The prompt that kicked off a 15-task workflow
I asked Vibes to create a Customer Health Score calculator with specific technical requirements — weighting logic, industry categorization, documentation, error handling. Notice how the prompt specifies intent and constraints, not implementation. Vibes decides the structure.
I said “public static method that returns 0-100 based on AnnualRevenue, NumberOfEmployees, Industry” — I didn’t say “use a Map, instantiate these constants, follow this pattern.” That freedom is where Vibes shows off its metadata awareness.
200K token context window
When Vibes loads your prompt, it reserves a 200,000-token context window. This is enough to load an entire medium-complexity SF project into working memory — meaning Vibes can cross-reference your existing classes, triggers, flows, and permission sets during generation. For comparison: your average code file is 1,000-5,000 tokens.
200K tokens is the architectural limit that makes multi-file reasoning possible. For reference: the full Apex language reference guide is ~180K tokens. Vibes can hold that plus your org context in active memory during a single task.
The agentic workflow begins
Vibes starts by selecting a skill — in this case, generating-apex — then reads existing files in your project to discover conventions. This isn’t flavor text; it actually opens and analyzes files like FSLDataGenerator.cls to understand your naming, error handling patterns, and structure before writing anything new.
The “skill selection” step is awesome. Vibes has 30+ preconfigured Salesforce skills (generating-apex, generating-apex-test, generating-lwc, deploying-metadata). These skills are Salesforce best practices hardcoded into the agent — bulkification, governor limits, test patterns. You don’t need to prompt for these.
Part 4 — What Vibes actually generated
CustomerScoreCalculator.cls — the main class
The generated class shows what Salesforce-native generation looks like.
Metadata XML auto-created
Every Apex class in a DX project requires a .cls-meta.xml file specifying the API version and status. Vibes generates this automatically, using the API version from your sfdx-project.json.
Bonus: TestDataFactory
Without being asked, Vibes created a reusable test data factory (TestDataFactory.cls). This is a Salesforce best practice — centralized test record creation prevents test brittleness across classes.
CustomerScoreCalculatorTest.cls — the test class
The test class uses @TestSetup for shared test data initialization, scenario-based method names (testHighValueAccount, testMediumValueAccount, testNullAccountId, etc.), and Given-When-Then structure inside each method.
Test class metadata
Part 5 — Safe Commands
By default, every time Vibes wants to run a terminal command (sf deploy, npm install, git status), it prompts you for approval. This is safe but slow. Safe Commands lets you pre-approve specific command patterns — skipping the prompt while still blocking anything unexpected.
The code analyzer approval prompt
After generating the classes, Vibes tried to run sf scanner to check code quality — and asked for permission since it wasn’t pre-approved. This is the default behavior for any non-whitelisted command.
The Safe Commands allowlist file
The allowlist lives at %APPDATA%\Code\User\globalStorage\salesforce.salesforcedx-einstein-gpt\settings\a4d_safe_commands. Each line is a shell command pattern that Vibes will auto-approve. The file starts with example entries showing the pattern format.
Commands I added for my workflow
I added these to the allowlist for typical Salesforce dev work:
Auto-approve settings panel
The final step is enabling Execute safe commands in the Vibes auto-approve panel.
Part 6 — The completion report
At the end of the workflow, Vibes shows a structured completion report — what was generated, what succeeded, what failed, and what you should do next.
Two tasks failed in my workflow: sf scanner run (because Java 11+ isn’t configured on my machine) and the test run itself (because classes must be deployed to the org first).
Part 7 — Deploying to the org
Agentforce generated the classes locally in your DX project, but nothing is in your org yet. This part walks through deploying and verifying — and covers a real-world CLI bug we hit along the way.
The deploy command
With the classes in force-app/main/default/classes/, deploy to the org:
sf project deploy start –source-dir force-app/main/default/classes
Verifying via SOQL query
To confirm the classes are actually in the org, I ran a SOQL query against the ApexClass object:
sf data query –query “SELECT Name FROM ApexClass WHERE Name IN (‘CustomerScoreCalculator’, ‘TestDataFactory’, ‘CustomerScoreCalculatorTest’)” –target-org MyDevOrg
Part 8 — Inline completion
The setup: a comment inside an existing class
Open an existing Apex class in your project. Inside the class body (not outside it), on a blank line, type a comment describing what you want:
// Create a method to fetch top 5 accounts by AnnualRevenue with their Customer Health Score
Press Enter and wait 2-3 seconds. Agentforce streams an inline suggestion in gray italic text below your cursor.
What Vibes suggested
Part 9 — Quick Actions: hidden power feature
The three actions
Mapping to your daily workflow
- Add to Agentforce: use when you need to ask follow-up questions about selected code in the main chat
- Explain with Agentforce: use when onboarding to a new codebase, during code review, or documenting legacy code
- Improve with Agentforce: use before submitting a PR, during refactoring sprints, or when reviewing your own older work
Part 10 — “Explain with Agentforce” in action
I clicked “Explain with Agentforce” on the CustomerScoreCalculator.cls file. The output — delivered as a structured document in the Vibes chat panel — is worth reviewing in detail because it demonstrates Vibes as a code analyst, not just a generator.
Overview & class structure
Public API method breakdown
Private helper methods
Key features & best practices audit
Task completion summary
Part 11 — When Agentforce Vibes isn’t the right tool
Vibes is excellent for pure Salesforce development. However, here are five scenarios where you’ll want Claude Code, Cursor, or a combination.
Scenario 1: Multi-stack integration work
If your project spans Salesforce + Apigee/MuleSoft + SAP CPQ or similar — like a bidirectional quote integration — Vibes only sees the Salesforce layer. It can’t reason across Apigee proxy XML, SAP REST schemas, or webhook signatures. Claude Code with multiple MCP servers is the right tool.
Scenario 2: Complex architecture reasoning
Vibes uses Claude Sonnet 4.5. For deep architectural work — race conditions, distributed transaction patterns, multi-region failover design — Claude Opus 4.7’s adaptive thinking (available in Claude Code on Max/Team Premium plans) is meaningfully better. 3× more SWE-Bench tasks resolved.
Scenario 3: Polyglot development
Writing React + Node + Python + Apex in the same project? Vibes is SF-only. Use Cursor or Claude Code for polyglot work, Vibes for SF-specific files. Many senior devs run both.
Scenario 4: CI/CD pipeline integration
Vibes lives inside VS Code. You can’t run it from a bash script, a GitHub Action, or a Jenkins pipeline. Claude Code is terminal-native — run it headless in any automation context.
Part 12— Scenario where Agentforce Vibes Win
Scenario 1: You’re writing Apex classes, building LWC components, configuring flows, managing permission sets. Your day is 100% Salesforce. Your stack is Salesforce.
Agentforce Vibes wins hands down.
Scenario 2: You’re building an integration that spans Salesforce + a middleware (Apigee, MuleSoft, Boomi) + an external system (SAP, Oracle, Workday).
Claude Code wins.
Scenario 3: You want gray ghost-text autocomplete as you type — Copilot-style. Comment-to-code in real time, Tab to accept.
Agentforce Vibes does this natively for Apex and LWC, with metadata-awareness that generic Copilot can’t match
Scenario 4: You’re architecting a multi-service integration, doing deep code review, or debugging a race condition that’s been haunting production for two weeks. You need a model that thinks before it acts.
Claude Opus 4.7 with adaptive thinking is purpose-built for this.
Cursor and Windsurf are amazing for general dev work. But if you’re a Salesforce developer. agentforce Vibes already knows Salesforce — metadata, patterns, governor limits, deployment.
Part 13— Product Features and Plan Comparison
| Feature | Agentforce Vibes | Claude Code | GitHub Copilot | Cursor |
|---|---|---|---|---|
| Inline gray ghost text | Yes | No | Yes | Yes (best) |
| Tab-to-accept | Yes | No | Yes | Yes |
| Chat-based generation | Yes | Yes (primary) | Limited | Yes |
| Agentic multi-file workflows | Yes | Yes (strongest) | No | Limited |
| Salesforce metadata-aware | Yes (native) | Via DX MCP | No | No |
| Polyglot (non-SF langs) | SF-only | Yes | Yes | Yes |
| Default model | Sonnet 4.5 | Opus 4.7 (Max) | Varies | Claude + GPT hybrid |
| Pricing | Free (→ Flex Credits Jun) | $20 / $100-200 / API | $10/month | $20/month |
My recommended setup for Salesforce Dev /Admin (April 2026)
- Primary tool: Agentforce Vibes 2.0 — for all Apex, LWC, SOQL, and metadata work
- Secondary tool: Claude Code with Max / Pro plan — for architecture spikes, integration POCs, non-SF work, complex debugging
- Inline completion: Vibes handles this for SF files. If I also write React/Node/Python daily, add Cursor.
- MCP servers connected to Claude Code: Salesforce DX MCP, Jira, Postman, Google Drive. Apigee custom if the project needs it.
Part 14— Practical Example Where Agentforce Vibes Struggles
Salesforce creates Opportunities. When a sales rep is ready to quote, they click a button. A middleware — Apigee — sits between Salesforce and SAP CPQ, handling authentication, rate limiting, and payload transformation. SAP CPQ creates the quote and sends it back. Users can edit quotes in either system. Both sides must stay in sync. Bidirectional integration.
Why Agentforce Vibes struggles?
No SAP CPQ metadata or API knowledge : Agentforce Vibes context is Salesforce metadata. SAP CPQ’s REST endpoints, OAuth flow, and configuration schema aren’t in its skills library.
Zero help on Apigee proxy development: Apigee policies are XML — quota, OAuth verification, JSON-to-XML transformation, error flows. Vibes generates generic XML, it doesn’t know Apigee-specific patterns.
Cross-stack testing is blind: A quote edit in SF → Apigee call → SAP CPQ update → callback → SF update needs coordinated testing across all four systems. Vibes only sees the SF side.
Integration-level architectural decisions: Platform Events vs async callouts. Named Credentials vs Connected Apps. Apigee spike arrest thresholds. These span layers Vibes doesn’t reason about.
Part 15— Frequently Asked Questions
Does Vibes work in sandbox?
Yes. Agentforce Vibes is a VS Code extension — it connects to any Salesforce org via sf org login web. Developer Edition, Sandbox, Production — the extension treats them identically. The workflow is the same.
About the Author
I am an avid blogger and youtuber at sfdcamplified. I love to simplify complex topics. By profession, I am a Senior Technical Project Manager.
If you enjoy my work, follow sfdcamplified
