Scaling AI-assisted development in enterprise: from code generation to engineering discipline
By 2027, successful AI adoption in development will depend not on code generation speed, but on integrating AI tools into controlled testing...
By 2027, successful AI adoption in development will depend not on code generation speed, but on integrating AI tools into controlled testing...
How SRE practices, DORA metrics, and engineering discipline help prevent technical debt, while low-code platforms standardize core architect...
Transitioning to microservices without considering operational complexity creates technical debt. We examine approaches for building stable ...
How to combine the flexibility of custom development with the speed of low-code while maintaining engineering discipline, version control, a...
How to transition from fragile point-to-point connections to a managed integration layer using API gateways and schema registries to ensure ...
How to combine the flexibility of AI with the rigid logic of BPMN 2.0 and DMN to automate first-line request processing without security ris...
Effective enterprise process automation requires separating workflow orchestration, flexible case management, and business rules. Learn how ...
A guide to prioritizing business processes for automation using process mining, BPMN/DMN standards, and evidence-based ROI calculation to av...
A guide to BPM, RPA, and workflow automation for IT architects. Learn how to combine BPMN, DMN, and Process Mining to avoid technical debt a...
Documents store facts, while business processes manage actions. Distinguish between DMS/ECM and BPM to avoid data silos and securely integra...
RPA is a useful temporary bridge to legacy systems following an ERP deployment. However, automating Excel-based workflows, email approvals, ...
AI-native development is transforming the role of the enterprise developer in 2026-2027, shifting focus from writing code to managing AI sys...