The future of software engineering is shifting towards a paradigm where the business logic is handled by intelligent agents. These agents will encapsulate the core data found in databases and perform various tasks, such as updating CRM records, sending emails, and generating reports, without the need for hardcoded business logic.

Users will simply need to specify what they want, and the agents will either know how to accomplish the task or create the necessary tools to do so on their behalf. This automation of business logic will streamline processes, reduce the need for manual intervention, and allow organizations to focus on higher-level strategic decisions rather than the implementation details.

The future of software engineering is moving away from traditional hardcoded business logic towards a paradigm of intelligent agents. These agents will encapsulate the core data and functionality, allowing users to simply specify what they want to accomplish, rather than having to write complex, custom code.

Instead of manually updating CRM records, sending emails, or generating reports, users will be able to instruct the agents to perform these tasks automatically. The agents will either possess the necessary knowledge to carry out the requests, or they will dynamically create the required tools to get the job done.

This shift represents a significant evolution in software development, where the focus is on defining the desired outcomes, rather than the implementation details. The business logic will reside in the AI-powered agents, freeing developers to focus on higher-level problem-solving and innovation.

In the future of software engineering, the business logic will be handled by intelligent agents. These agents will have the capability to directly interact with the core data stored in the database, without the need for complex, hardcoded business logic.

For example, to generate a report on the top five customers by revenue or to send personalized emails to those customers, the user will simply need to provide the agent with the desired outcome. The agent will then automatically handle the necessary tasks, such as querying the database, analyzing the data, and generating the report or sending the emails.

This shift towards an AI-driven approach will significantly streamline the software development process, allowing businesses to focus on their core objectives rather than spending time on implementing the underlying business logic.

The future of software engineering is poised to undergo a significant transformation, where the business logic will be primarily handled by intelligent agents. These agents will be responsible for processing the core data found in databases and executing various tasks, such as updating CRM records, sending emails, or generating reports, based on specific criteria.

The key advantage of this approach is that developers will no longer need to write complex, hardcoded business logic on top of the database. Instead, they can simply instruct the agents on what they want to achieve, and the agents will either possess the necessary knowledge to accomplish the task or create the required tools to do so on the user's behalf. This shift towards a more AI-driven software engineering landscape promises to streamline the development process, reduce the burden on developers, and enable faster and more efficient delivery of business solutions.