Spring AI 1.0.0-M7 First Look - Breaking Changes and New Features

Overview

Discover everything about Spring AI 1.0.0-M7, the final milestone before GA in May 2025, including breaking changes, architectural improvements, and a step-by-step upgrade demonstration from M6 to M7.

Syllabus

• Introduction to Spring AI 1.0.0-M7
Overview of Spring AI development cycle
Purpose and significance of the M7 milestone
Key differences between M7 and previous versions
• Breaking Changes in Spring AI 1.0.0-M7
Module restructuring and package renaming
Deprecation of legacy components
Updated configuration requirements
Changes to API signatures and contracts
• Architectural Improvements
Enhanced performance optimizations
Improved scalability features
Refined dependency management
Security enhancements and protocol updates
• New Features in Spring AI 1.0.0-M7
Introduction to new AI algorithms and utilities
Expanded integration capabilities with third-party tools
User experience improvements in the development process
Support for new data formats and processing techniques
• Step-by-Step Upgrade Demonstration from M6 to M7
Preparing your existing M6 environment for upgrade
Managing migrations of deprecated components
Testing and validating the upgrade process
Troubleshooting common upgrade issues
• Conclusion and Best Practices
Summary of key changes and features
Recommendations for a smoother transition to M7
Planning for the general availability (GA) release in May 2025
Resources for continued learning and support

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Subjects

Programming