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In the competitive world of enterprise software development, efficiency and productivity are critical factors for success.<\/p>\n
Microsoft Business Central<\/a>, as a leading ERP platform, is no exception. Developers are constantly looking for ways to optimize their workflow and deliver high\u2011quality solutions in less time. Artificial intelligence\u2014particularly tools like Copilot<\/a>\u2014is radically transforming how technical professionals approach these challenges.<\/p>\n This article explores how AI tools can enhance development in Business Central, increasing productivity without sacrificing quality or developer creativity.<\/p>\n Before diving into technical aspects, it is essential to understand that tools like Copilot are not intended to replace expert knowledge.<\/p>\n While Copilot or other AI tools can help you achieve results, they are not the final solution, as expert knowledge is required to bring everything together and understand how to use these tools effectively.<\/p>\n AI is designed to amplify the developer\u2019s capabilities, not replace them. Effective development with AI requires a deep understanding of Business Central and a strategic approach to leveraging these tools.<\/p>\n One of the most common scenarios in BC development is the creation of tables, pages, and other objects. Let\u2019s take a look at how AI can optimize this process:<\/p>\n Example: Creating a table<\/strong><\/p>\n Traditionally, a developer might use VS Code to manually create a table or rely on a wizard. With Copilot, this process can be significantly streamlined:<\/p>\n 1. The developer specifies the required fields (names, types, and lengths)<\/p>\n 2. They ask Copilot: \u201cCreate a table with these fields for customer information\u201d<\/em><\/p>\n 3. Copilot generates the complete AL code, even correctly identifying the primary key<\/p>\n What\u2019s most impressive is that Copilot was able to identify the primary key (in this case, the customer number) without explicit instructions, demonstrating its ability to apply business logic based on common patterns.<\/p>\n User interfaces in Business Central require attention to detail and an understanding of the user experience. Copilot can assist with:<\/p>\n Creation of List-Type Pages<\/strong><\/p>\n When specifically requesting: \u201cCreate a list page for the customer information table with application area, tooltips, as well as application area in actions. Add Rec. to the fields. Example: field(\u2018Customer No.\u2019; Rec.\u2019Customer No.\u2019)\u201d<\/em><\/p>\n Copilot can generate a complete page with:<\/p>\n Card-Type Pages<\/strong><\/p>\n \u201cCreate the Card-type page\u201d<\/em><\/p>\n Copilot can create well\u2011organized card pages with:<\/p>\n A notable aspect is that Copilot can maintain the context of the conversation, remembering the fields previously defined without needing to specify them again.<\/p>\n As we have seen, to link the page with the list, we would still need the CardPageId property in the list page. Since this is a simple action, it takes less time to do it manually than to ask Copilot.<\/p>\n One of the most valuable use cases is migrating code from earlier versions such as NAV to Business Central. This process traditionally requires:<\/p>\n With Copilot, this process is significantly simplified:<\/p>\n 1. Export the object text from NAV<\/p>\n 2. Ask Copilot: \u201cConvert this NAV text into compilable AL code for Business Central\u201d<\/em><\/p>\n The result is functional AL code with minimal adjustments required. In the demonstrated example, Copilot was able to:<\/p>\n Although some specific properties may be lost, the productivity gain is substantial, especially when you don\u2019t have local access to BC14 or when the traditional process would be too labor\u2011intensive.<\/p>\n The adoption of AI tools like Copilot in Business Central development offers tangible business benefits:<\/p>\n Automating repetitive tasks such as creating standard objects can significantly reduce development time. A recent GitHub study suggests that developers using Copilot complete tasks up to 55% faster than those who do not.<\/p>\n AI can suggest proven design patterns and prevent common mistakes, resulting in cleaner and more reliable code. This translates into less time spent on debugging and maintenance.<\/p>\n In upgrade projects from NAV to Business Central, where the client may be unsure about which customizations to keep, the ability to quickly convert code allows you to:<\/p>\n A manufacturing company needed to migrate from NAV 2009 to Business Central with more than 200 customizations. The development team used Copilot to:<\/p>\n The result: a 40% reduction in total project time and higher customer satisfaction by being able to interact with a functional system from the early stages.<\/p>\n To make the most of tools like Copilot in Business Central development, consider the following recommendations:<\/p>\n The quality of the output directly depends on the quality of the instruction. \u201cBeing specific will give you the best results,\u201d as the developer in the presentation notes. Clearly stating what you need saves time on later adjustments.<\/p>\n Example:<\/strong><\/p>\n AI will generate functional code, but expert review remains essential. Key aspects to verify include:<\/p>\n \u201cBeing curious\u201d about the capabilities of AI opens new possibilities. Experiment with different types of requests to discover where the tool is most effective in your specific workflow.<\/p>\n The integration of AI into Business Central development represents a natural evolution in how we build business solutions. Far from threatening the creativity or value of the developer, these tools free up time and mental resources that can be dedicated to solving more complex problems and creating differentiated value.<\/p>\n The developer of the future will not be replaced by AI, but empowered by it. Those professionals who master the art of collaborating with these tools \u2014 knowing when and how to use them \u2014 will have a significant competitive advantage in the market.<\/p>\n AI has a bad reputation for taking away our creativity, but that is not the case. If you are curious about the ways you can use it, I believe it can open up another area of creativity where you can implement it while still staying true to your creative sense as a person or as a developer.<\/p>\n At ABD<\/a>, as a strategic Microsoft<\/a> partner, we are committed to the continuous exploration of how these technologies can enhance the value we deliver to our customers, while always keeping expert knowledge and human creativity at the core of our solutions.<\/p>","protected":false},"excerpt":{"rendered":" En el competitivo mundo del desarrollo de software empresarial, la eficiencia y la productividad son factores cr\u00edticos para el \u00e9xito. Microsoft Business Central, como plataforma ERP l\u00edder, no es una excepci\u00f3n. Los desarrolladores constantemente buscan formas de optimizar su flujo de trabajo y entregar soluciones de alta calidad en menos tiempo. La inteligencia artificial, particularmente […]<\/p>\n","protected":false},"author":9,"featured_media":31306,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_uf_show_specific_survey":0,"_uf_disable_surveys":false,"footnotes":""},"categories":[79,3447],"tags":[1161,1757,1294,1235,108,733,1189,3462],"class_list":["post-31291","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-articulos","category-erp","tag-business-central","tag-copilot","tag-dynamics-365-bc","tag-dynamics-365-business-central","tag-erp","tag-inteligencia-artificial","tag-microsoft-365-business-central","tag-microsoft-copilot"],"yoast_head":"\nThe Developer and AI: A Strategic Collaboration<\/h2>\n
Practical Use Cases: AI in Action<\/h2>\n
Efficient Creation of Database Objects<\/h3>\n
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<\/p>\nUser Interface Development<\/h3>\n
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<\/p>\nCode Migration and Upgrade<\/h3>\n
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<\/p>\nThe Business Value: Beyond Convenience<\/h2>\n
Reduction in Development Time<\/h3>\n
Improved Code Quality<\/h3>\n
Optimization of Resources in Migration Projects<\/h3>\n
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Case Study: Agile Re\u2011implementation<\/h2>\n
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Best Practices: Maximizing the Potential of AI<\/h2>\n
Be Specific in Your Instructions<\/h3>\n
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Verify and Refine<\/h3>\n
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Cultivate Curiosity<\/h3>\n
ABD, shaping the future of Business Central development<\/h2>\n
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