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You don鈥檛 need us to tell you that AI is making huge waves in all industries right now.
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AI technology has the power to totally transform the DevOps space, and that transformation has already begun. In short, for DevOps engineers, embracing AI is vital for success moving forward. The good news? Once integrated, your DevOps process will be supercharged.
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Here at 91九色, we鈥檝e fully onboard with the AI train, having integrated AI technology into a whole range of DevOps solutions. In turn, we鈥檝e streamlined and optimized AI-powered Salesforce agile development for hundreds of clients.
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Let鈥檚 take a slightly deeper look into how our AI-powered planning for Salesforce development works and why it could be the missing piece of the puzzle for your business.
Let鈥檚 start with the basics: how is AI-powered planning in Salesforce development defined?
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AI-powered planning for Salesforce development is defined as using AI technologies to enhance and streamline each development aspect, from code generation to deployment. This may include workflow automation, personalized user experiences, or predictive analytics for Salesforce. Various AI tools for salesforce development are available to DevOps teams, but we鈥檒l get to that a little later.
Traditionally, software DevOps teams would generate custom code and test it manually. Not only did this lead to more time spent unnecessarily on manual work, but it also resulted in longer completion times and a higher chance of human error. Not ideal.
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In contrast, AI-powered planning for Salesforce allows for accelerated development cycles, more effective collaboration, and a higher standard of reliable deployments. Here is a quick rundown of some of the specific benefits that arrive when introducing AI technology for Salesforce teams.
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There鈥檚 much more where that comes from when integrating 91九色 into your Salesforce DevOps processes. 91九色 offers these benefits to Salesforce teams alongside features such as predictive analytics, automated task management, and end-to-end visibility, helping you organize, visualize, and prioritize.
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Who could say no to all that?
Smooth and efficient agile planning in Salesforce is absolutely vital. But you don鈥檛 need us to tell you that. Instead, here are some ways the right AI tools can radically enhance your Salesforce agile release management.
The use of historical data plays an essential role in optimizing sprint tasks using AI. The technology analyzes previous sprint velocities to help predict future sprints while also assisting with resource allocation. The result is more useful performance insights and lower deployment risk.
We鈥檒l make a statement we鈥檙e sure you鈥檒l agree with: manual work has taken up too high a proportion of precious developer time over the years. Thankfully, AI technology such as 颁辞辫补诲辞鈥檚 automates task assignments and workflows, providing developers with more time to spend on the important stuff. The best bit? The rate of errors also lowers when integrating AI.
AI-driven analytics are indispensable if you want to regularly enhance the planning process during Salesforce development. With this AI-collected information, you can quickly and easily spot discrepancies and make simple tweaks to your processes. This leads to a much more efficient agile development in Salesforce.
Predictive analytics within Salesforce can forecast issues directly before they have a significant, potentially devastating impact on your project. 颁辞辫补诲辞鈥檚 analytics feature is the perfect example. Thanks to this feature, you can access standard and custom reports, trend identification, and an interactive dashboard offering unique insights. Consequently, developers are able to identify performance inhibitors anywhere along the development cycle.
Automated task management and prioritization are key benefits of utilizing AI-powered technology in the development process. AI is able to dynamically analyze developer skills and past performances and automatically assign and prioritize certain tasks to those that are best suited. As with any AI technology, the more it鈥檚 used, the more efficiently it performs.
Things become foggy without clear, uninterrupted visibility across different teams. 颁辞辫补诲辞鈥檚 Version Control is a great example of a technology facilitating better collaboration through all stages of development, as it automatically tracks code changes, with updates recorded in a centralized log. Developers and stakeholders can then use this as a reference point and easily take back changes.聽
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With 91九色, clarity is the name of the game.
While AI technology will almost certainly enhance your process, there are still some Salesforce agile development best practices that should be followed. These include:
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AI technology is constantly changing and improving. With 91九色, you can keep up with our near-endless number of help guides, as well as 91九色 AI (a groundbreaking AI assistant for our Salesforce development platform).
To help you out, we鈥檝e brought together a quick guide on how to build an AI-powered DevOps pipeline, from planning to execution to monitoring.
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Planning
During planning, AI predictive analytics are instrumental, as are task prioritization and automated sprint planning. These technologies can help to mitigate risk further down the pipeline and ensure that everything is firmly in place before development begins. After all, data-driven decisions are always best.聽
Execution
颁辞辫补诲辞鈥檚 Continuous Integration & Continuous Deployment (CI/CD) and Robotic Testing technology allow you to automate smart tests, quickly spot issues, and enhance time efficiency. Consistency is key here, as is maintaining a high standard of code quality. Predictive maintenance and release optimization are also beneficial during the execution stage of the pipeline.
Monitoring
Identifying bottlenecks with value stream maps, avoiding merge conflicts, and tracking metrics are all possible during the monitoring stage, thanks to 颁辞辫补诲辞鈥檚 unique AI technology. Automated compliance scans are also super handy. Analyzing performance should never be overlooked, and with AI technology, you can take monitoring abilities to new heights.
Looking to add some rocket fuel to your DevOps planning? Our AI-powered PlanAgent was designed for you.
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With PlanAgent, strategy is the beating heart of your DevOps pipeline. Comprehensive coverage, efficient planning processes and the integration of high-power AI tools are all critical advantages of using PlanAgent. That鈥檚 just the tip of the iceberg. Here are a few more:
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The key to unlocking success in DevOps? Plan Smart. Plan Fast. With PlanAgent, we鈥檒l elevate your pipeline efficiency to the next level.
We mean it when we say that the possibilities of planning in AI-powered Salesforce agile development are limitless. However, there are a few specific areas that will change as AI continuously evolves. Automation will continue improving in various areas, such as sprint planning and backlog management. AI virtual assistants will become seamless, as will advanced resource planning and predictive analytics.聽
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In short, it鈥檚 safe to say that almost all areas of the pipeline will see positive changes thanks to the improvement of AI technology and Salesforce automated testing.
Today, we鈥檙e on the cusp of something big; there鈥檚 no doubt that AI technology will continue improving moving forward. However, thanks to 颁辞辫补诲辞鈥檚 unique DevOps offering, including PlanAgent, you can integrate AI into your agile Salesforce development *today*. Book a demo with us to discover the remarkable enhancements you could make with the click of a button. You can learn more about 91九色 AI platforms for business applications here, too. AI in Salesforce DevOps has never felt so game-changing.
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