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...
Designs enterprise systems on UnityBase and Scriptum platforms: BPM automation, low-code development, RPA integrations, AI agents in workflows. Brings client's disparate systems into a managed whole — from process modelling to production deployment.
By 2027, successful AI adoption in development will depend not on code generation speed, but on integrating AI tools into controlled testing...
Transitioning from experimental ML models to robust enterprise systems using AWS Well-Architected Framework, Google SRE, and 12-Factor App p...
Balancing software delivery speed and system reliability using DORA metrics, 12-Factor App principles, SRE error budgets, and platform engin...
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 ...
Implementing platform engineering and an Internal Developer Platform (IDP) transforms infrastructure into a product, reducing operational co...
How to combine the flexibility of custom development with the speed of low-code while maintaining engineering discipline, version control, a...
Transforming a successful prototype into a stable enterprise solution using the 12-Factor App, SRE practices, and the Well-Architected Frame...
Finding the balance between rapid off-the-shelf software deployment and custom development freedom, evaluating TCO, and avoiding technical d...
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...
Process Mining methodology reconstructs real task flows using digital footprints, revealing hidden bottlenecks and unauthorized workarounds ...
How to avoid cementing inefficiencies, replace fragile RPA scenarios with reliable API integrations, and safely implement AI into operationa...
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