Software Engineering Intelligence (SEI) will replace Value Stream Management to measure the end-to-end business process of software development.
There will be heightened awareness of the downsides of owning and running AI-generated code in production.
DevSecOps will embrace a more mature 'shift everywhere' approach, applying the right tools at the right stages of the cycle.
Neuro-Symbolic AI (NSAI) will combine pattern recognition, logical reasoning, and language understanding to identify fraud and maintain transparency and compliance.
Leading companies will view their workforce as a community of skills, enabling dynamic talent deployment and supporting employee growth.
IaC tools will generate infrastructure from code, applying security and governance requirements by default.
Global tech organizations will develop inclusive IDE strategies tailored to the unique cultural and regional needs of employees.
Data mesh architecture will become more prevalent, allowing teams to manage their own data as products.
Programming languages that are memory-safe by default will gradually eliminate software vulnerabilities.
Flaky tests will continue to be a prominent issue, especially with the adoption of microservices, requiring prioritization of identifying and fixing them.