Developers / Artificial Intelligence

10 Ways AI Can Turbocharge Salesforce Developer Productivity

By Simion Petrov

Branded content with OSF Digital

When Salesforce Developers are asked to improve the speed and quality of their tasks, as well as the overall solution, they often face limitations due to human and time constraints. However, with the emergence of coding and knowledge copilots using GenAI models, developers are entering a new era of productivity. These AI models help reduce errors and enable developers to tackle more complex projects.

Generative AI models have gained significant attention from business leaders worldwide, and their expanded use is creating new economic opportunities for businesses. It is crucial for developers to understand how to incorporate AI into their workflow to meet the industry’s demands.

10 Ways Developers Can Use AI

1. Code Generation and Assistance

AI-powered tools can assist you by providing code suggestions, auto-completion, and intelligent recommendations based on context, reducing coding errors and improving code efficiency. AI can generate written summaries of code changes during commits or merge requests, facilitating quicker and more informed code reviews. 

AI-generated code will give suggestions within their Integrated Development Environments, offering efficient code completion, logic generation, and other time-saving capabilities.

2. Automated Test Suggestions

AI-powered testing tools can automatically run tests and generate reports saving you time and providing quick feedback on code changes. AI can recommend tests and generate scripts directly within the merge request, enhancing testing practices, reducing the time spent on test-related activities, and identifying potential issues before deployment. 

3. Chatbot-Driven Documentation Queries

Leveraging AI-powered assistants or copilots to inquire about documentation can provide faster access to relevant information – all without leaving the coding environment. AI-powered chatbots can give instant support by answering queries, offering guidance, and providing documentation links.

4. Code Reviewer Recommendations

AI analyzes code changes and offers project contribution graphs to automatically suggest reviewers, improving the efficiency and quality of code reviews. Analyzing code for adherence to best practices, coding standards, and security guidelines can also help you catch potential issues early and recommend fixing suggestions.

5. Greater Concentration on End User Experience

By using AI for other development tasks, owners are free to work with UX experts to design effective and efficient ways of interacting with users. Complex UX designs, rules, and workflows are quickly consumed by AI tools, leading to frequent releases and improved user satisfaction.

6. Vulnerability Summaries and Remediation Suggestions

AI-generated summaries of security vulnerabilities help you comprehend and address issues efficiently, including suggested mitigations with sample code. This helps you with your overall security, adding an extra layer of protection.

7. Productivity Metrics Forecasting

Developers can use AI to forecast productivity metrics, identifying trends and anomalies across the development lifecycle for better-informed decision-making. 

8. Debugging Assistance

One of the major burdens of a developer is bugs. AI can streamline the debugging process by helping developers identify and fix issues – providing intelligent insights into the root causes of issues and suggesting possible solutions.

9. Automated Security Scans

AI can perform automated security scans to identify vulnerabilities in the code and configuration, helping developers ensure that their deployments adhere to best practices and safeguarding potential issues down the line.

10. Code Migration and Data Cleanup

Looking to streamline the data migration process? AI can help ensure accurate and efficient data transfer between environments during deployment. It can also assist in identifying and cleaning up duplicate or inconsistent data, ensuring data integrity during deployment.

How Developers Can Extend Their AI Use

Salesforce Developers can generate code in seconds using natural language, speed up code with auto completions, and understand existing code without having to Google answers. Plus, this is all done through an interactive chat interface.

The AllAi Productivity Platform is an AI programmer that speeds up tedious tasks. AllAi Code, a component of the platform, is a VS Code extension that helps you write faster and better code. It has a wide range of capabilities, including code completion, code explanation, an interactive chat interface, and teacher mode, providing a user-friendly coding experience. 

It is optimized for Salesforce technology, which helps enhance development workflows and decreases implementation risk. Plus, users can document code with a click and automate bug detection and fixing.

Developers using AllAi Code increased productivity by:

  • 42% more lines of AI-generated code
  • 11% less time spent on assignments
  • 40% more closed tickets
  • 15% more satisfaction with the quality of work

Developers found better code quality with:

  • 62% fewer comments
  • 45% shorter PR lifetime

To learn more about how the platform could help you, book your demo today!

Summary

Salesforce Developers can eliminate boilerplate code and accelerate their learning curve using an AI assistant to explain every piece of code they need help with. Ultimately, this helps developers to improve software quality with a more consistent, higher-quality codebase.

By leveraging AI, you can benefit from increased productivity, improved code quality, and a more streamlined deployment process on the Salesforce platform. Just imagine what you could accomplish if you spent less time on routine and error-prone tasks!

The Author

Simion Petrov

Simion Petrov is a highly accomplished professional with over 16 years of experience in the technology industry. He is currently the SVP of Innovation at OSF Digital.

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