Developer Fundamentals · Topic 4 of 4
Agentforce for Developers
Agentforce for Developers use cases and limits: code generation, autocomplete, explanations and test drafts in VS Code, with review and testing required.
- 4 min
- Agentforce for Developers runs in VS Code and Code Builder, not the Developer Console.
- It offers autocomplete, chat, code explanation and test generation.
- Prompts are protected by the Einstein Trust Layer, with zero data retention by model providers.
What it is
Agentforce for Developers is Salesforce's AI coding assistant. It runs as an extension in Visual Studio Code with the Salesforce Extension Pack and in Code Builder, the browser-based editor. It helps developers write, explain and test Apex and Lightning Web Components.
It is an assistant, not an autopilot. It suggests code; the developer decides what to accept, reviews it, tests it and deploys it through the normal process.
How it works
What it can do
| Capability | Example |
|---|---|
| Inline autocomplete | Suggests the rest of a line or block as grey text; Tab accepts it |
| Chat (Dev Assistant) | Ask in natural language for a method, a SOQL query or an LWC |
| Explain code | Describes selected code in plain language, useful for undocumented classes |
| Generate tests | Drafts an Apex test class for a class open in the editor |
| Generate from comments | Writes code that matches a description you type |
Where it runs
| Environment | Supported |
|---|---|
| VS Code with the Salesforce Extension Pack | Yes |
| Code Builder (VS Code in the browser) | Yes |
| Developer Console | No |
| Setup's Apex Classes editor | No |
Trust and data
Prompts and responses go through the Einstein Trust Layer. Salesforce states that model providers do not retain the prompt or response data, and generated responses are checked for toxicity. Even so, do not paste real customer data into a prompt; use invented sample data.
Limitations
| Limitation | What it means |
|---|---|
| Output can be wrong | It may invent fields, methods or behaviour, such as a field that does not exist in your org |
| Output varies | The same prompt can return different code on different runs |
| No automatic best practice | Generated code may query in loops, skip sharing or ignore bulk cases |
| No deployment or test run | It does not deploy or prove the code works; you run tests and deploy |
| Same platform rules | Generated Apex has the same governor limits and the same 75% coverage rule as hand-written code |
Reviewing generated code
A short checklist for anything it writes:
- Does every field and object exist in the org? Check the schema.
- Is it bulk safe for 200 records: no SOQL or DML in loops?
- Does it respect security:
with sharing, user mode queries, bind variables instead of string concatenation? - Do the tests assert results, cover bulk and negative cases, and create their own data?
A worked example
A developer asks Agentforce for Developers for a before insert trigger on Opportunity and a test class. The test inserts one opportunity and reports 85% coverage. An integration will insert 200 records per call.
The right next step is not to deploy because coverage is above 75%. The developer adds a 200-record test, checks the trigger for queries and DML inside loops, and adds assertions on the expected field values. Coverage proves lines ran; only assertions and bulk tests prove the trigger works.
In exam scenarios, the answer is almost always "review and test the generated code", never "trust the assistant" or "ask it whether the code is correct".
How the exam asks about this
- "Grey text appears as the developer types." Inline autocomplete.
- "Understand an inherited class." Ask it to explain the selected code.
- "Generated code references a field that does not exist." The model guessed; check the schema and correct the code.
What to remember for the exam
- Agentforce for Developers runs in VS Code and Code Builder, not the Developer Console.
- It offers autocomplete, chat, code explanation and test generation.
- Prompts are protected by the Einstein Trust Layer, with zero data retention by model providers.
- Output can be wrong and can vary; the developer reviews, tests and deploys it.
- Generated Apex follows the same governor limits and coverage rules as any Apex.
A test the assistant writes may call the method without any assertions. That raises coverage but checks nothing. Add assertions before you rely on it.
Common mistakes
Assuming generated code is validated against the org. It is not; missing fields cause compile or deploy errors.
Pasting production records into the chat. Use fabricated sample data.
Treating its explanation as proof of correctness. Only tests prove behaviour.
Check yourself
Which two environments support Agentforce for Developers?
Visual Studio Code with the Salesforce Extension Pack, and Code Builder.
Generated Apex fails to deploy because a field does not exist. Why?
The model guessed a field name; the developer must check the org's schema and fix the code.
Does generated Apex get different governor limits?
No. It runs under the same limits and the same 75% coverage rule as any other Apex.
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