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Salesforce LLM and Agentforce for Developers: Your New Coding Ally

Salesforce LLM and Agentforce, designed to assist developers as innovative coding partners.
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Salesforce developers have a coding companion called Agentforce for Developers. It is powered by Salesforce AI Research’s cutting-edge large language models (LLMs). Salesforce LLM and Agentforce for Developers are here to revolutionise how you build on the Salesforce platform.

It’s designed to make your development process smarter, faster, and far more intuitive. With Agentforce, you’re not just writing code—you’re working with a generative AI toolset that anticipates your needs.

By integrating Salesforce LLMs into Agentforce, Salesforce has set a new benchmark for intelligent development tools. Ready to code smarter? Dive into the blog and your next innovation is just a prompt away!

What is Agentforce for Developers?

Agentforce for Developers is built to make your life as a Salesforce developer easier and more efficient. Think of it as having an intelligent coding assistant right inside your IDE (Integrated Development Environment), ready to handle complex coding tasks and streamline your workflow.

  1. Agentforce is a suite of generative artificial intelligence (AI) tools intended to increase productivity.
  2. Whether you need to generate Apex code, create unit tests, or get in-line code completion suggestions, it’s got you covered.
  3. Boilerplate code generation is one of its standout features, making it incredibly beginner-friendly while still being robust enough for seasoned developers.

But there’s more. Agentforce acts as your AI pair programmer, leveraging anonymised patterns from Salesforce’s proprietary AI models, CodeGen and xGen-Code.

These secure and custom-built models ensure your code not only works but also adheres to best practices, with built-in static analysis and security scanning tools.

Read our complete blog on Agentforce for Developers.

What is a Large Language Model (LLM)?

Comprehensive artificial intelligence (AI) systems are known as large language models (LLMs). Large datasets are used to train it to understand and generate human-like text.

Built on neural networks, specifically transformer models, LLMs excel at natural language processing (NLP) tasks like text generation, translation, and question-answering.

These models learn language patterns and context through extensive pre-training, enabling them to perform tasks across various domains, from coding to summarising documents.

Key Features of Large Language Models

Key features of large language models: data training, transformer design, multitasking, and self-learning.
Key Features of Large Language Models
  • Massive Data Training: Large datasets, often made up of billions of words, are used to train LLMs to comprehend and produce human language.
  • Transformer Architecture: They use a transformer model, consisting of encoders and decoders, to analyse text and its context.
  • Multitasking Ability: LLMs handle diverse tasks, including language translation, chatbots, summarisation, and even coding.
  • Fine-Tuning Potential: After pre-training, LLMs can be fine-tuned for specific industries like healthcare, finance, or entertainment.
  • Self-Learning: LLMs use self-attention mechanisms to recognise grammar, relationships between words, and deeper context.

Want to learn more about LLM? Enrol in our LLM certification course.

What is Salesforce LLM (Salesforce's Large Language Models)?

Salesforce Large Language Models are advanced AI models developed in-house by Salesforce AI Research to power tools like Agentforce.

These customised LLMs, including CodeGen2.5 and xGen-Code, are specifically designed to handle Salesforce developer tasks, offering precision, security, and sustainability.

Key Features of Salesforce Large Language Models

Key features of Salesforce language models: tailored, secure, sustainable, and efficient.
Key Features of Salesforce Large Language Models
  • Tailored for Salesforce: These models are fine-tuned for Salesforce-specific development needs, using insights from tools like Code Analyser and ApexGuru to deliver top-notch results.
  • Secure and Trusted: Your data remains within the Salesforce environment. Built-in safeguards, such as data masking and toxicity checks, protect sensitive information.
  • Sustainable and Efficient: Salesforce LLMs use right-sized models for each task, ensuring optimal performance while aligning with Salesforce’s commitment to sustainability.

Salesforce's Proprietary AI Models: CodeGen and xGen-Code

Salesforce's proprietary AI models: CodeGen and xGen-Code, emphasising cutting-edge solutions.
Salesforce's Proprietary AI Models

Salesforce has developed its own cutting-edge Large Language Models (LLMs) to power intelligent tools like Agentforce for Developers. These Salesforce proprietary models, CodeGen and xGen-Code are specifically designed to address the unique challenges of coding and developer tasks in Salesforce environments.

While CodeGen focuses on precision and speed, xGen-Code takes a deeper dive into complex reasoning and conversational interactions. Together, they redefine productivity for Salesforce developers.

-> CodeGen: Fast and Efficient for On-the-Fly Coding

CodeGen, developed by Salesforce AI Research, is a compact yet powerful LLM tailored for code understanding and generation. Its latest iteration, CodeGen2.5, is optimised for quick and low-latency tasks like code completion.

  • Domain-Specific Training: Salesforce CodeGen is fine-tuned for Apex programming language, ensuring it aligns perfectly with Salesforce use cases.
  • Continuous Learning: It benefits from expert feedback and rigorous testing to improve its performance over time.
  • Security by Design: All data stays within Salesforce’s trusted environment, ensuring your code and prompts remain secure.

With its speed and accuracy, CodeGen is perfect for handling repetitive coding tasks with minimal effort.

-> xGen-Code: A Deeper Dive into Intelligent Development

When it comes to more interactive and complex tasks, xGen-Code steps in. Designed for dynamic scenarios like multi-turn conversations, this LLM excels in both natural language processing and coding tasks.

  • Versatility: xGen-Code is fine-tuned to handle a mix of code and natural language, making it ideal for features like the Dev Assistant.
  • Enhanced Understanding: It offers deep insights into Salesforce-specific developer challenges, outperforming other models in accuracy and adaptability.
  • Dynamic Interactions: xGen-Code powers conversational experiences where the AI evolves with the context, enabling smarter programming support.
    For tasks that require more than just quick suggestions, xGen-Code delivers a richer, more engaging development experience.

By combining CodeGen for efficiency and xGen-Code for depth, Salesforce provides developers with Salesforce AI development tools tailored to every stage of the development process.

Enrol in our Salesforce Developer course to learn about Salesforce development.

Conclusion

The convergence of Salesforce’s powerful platform with cutting-edge large language models (LLMs) has ushered in a new era of development. Agentforce for Developers is powered by Salesforce’s cutting-edge LLMs like CodeGen and xGen-Code.

With its secure, sustainable, and highly customised AI capabilities, it sets a new standard in productivity and innovation. Whether you’re a beginner navigating the basics or an experienced developer tackling complex projects, Agentforce is designed to amplify your potential.

It’s time to code smarter, innovate faster, and redefine your development journey with Salesforce’s groundbreaking AI solutions.