Contributed Content
AI as the Architect’s Muse: Redefining Software Design in the Age of Intelligence
Sachin Suryawanshi | | AI-Driven Architecture, DevOps Innovation, Future of Software Engineering, Human-Machine Collaboration, Intelligent Optimization, Machine Learning in Design Architectural Resilience, self-healing systems, Software Design EvolutionSoftware architecture is no longer a static artifact — it’s a dynamic, living thing, shaped by AI’s relentless curiosity and our own audacity ...
AI-Powered DevSecOps: Navigating Automation, Risk and Compliance in a Zero-Trust World
Michelle Buckner | | AI in DevOps, CI/CD pipeline security, cloud security best practices, continuous compliance, DevOps compliance, FedRAMP DevOps, GRC automation, microservices security, NIST compliance, security automationBreaking down how artificial intelligence (AI) is reshaping DevSecOps, the security pitfalls that come with it and how to balance the raw efficiency of automation with the actual realities of risk mitigation ...
Harmonizing AI-Driven DevOps: Building Secure, Self-Healing Pipelines With AWS Bedrock and SageMaker
Dinesh Besiahgari | | AI-Driven DevOps, Amazon SageMaker, AWS Bedrock, CI/CD Automation, devsecops, Self-Healing PipelinesThe combination of SageMaker and Bedrock enables DevOps teams to develop secure self-healing pipelines through AI harmonization, which transforms software delivery processes ...
Unit Testing in Development: Ensuring Code Quality and Reliability
Unit testing is a fundamental practice in software development that ensures code reliability, maintainability and early bug detection ...
Next-Generation Observability: Combining OpenTelemetry and AI for Proactive Incident Management
OpenTelemetry and AI integration change the nature of observability for organizations in their quest to manage distributed systems ...
Data, Determinism, and AI in Mass-Scale Code Modernization
Discussing the code data problem and what’s needed to enable agentic experiences that can drive code analysis and refactoring at scale ...
From Code to Impact: The New Role of Engineers in an AI-Driven World
Maryna Rybalko | | 5 Whys Technique, A/B testing, ai, Belief, Bet), business impact, Cross-functional Innovation, Customer Journey Mapping, devops, DIBB Framework (Data, OKRs (Objectives and Key Results), problem-solving, Product Engineer, Product Mindset, software engineering, User Experience (UX)It’s no longer a question of if AI will change engineers’ roles — it already has. The real question is, how can engineers amplify their impact in this new reality? Exploring what's next ...
Balancing AI Workers of the Future With Human Talent of Today in Software Development
Artificial intelligence (AI) is becoming pivotal across industries and the app development market is no exception. Every app in the world is on track to be reinvented with AI. Even the most ...
Optimizing CI/CD Pipelines for Developer Happiness and High Performance
Focusing on DevEx through strategic CI/CD optimization can transform the development lifecycle and significantly improve developer productivity ...
Five Powerful Ways AI Is Transforming the DevOps Playbook
The DevOps playbook is rapidly transforming because of recent advancements in artificial intelligence (AI) ...
MLOps for Green AI: Building Sustainable Machine Learning in the Cloud
Enter MLOps for Green AI: A fusion of machine learning operations (MLOps) and sustainable DevOps practices that promise to make AI not just smarter, but greener. ...
DevOps-as-a-Service: Simplifying Development and Operations Integration
Organizations can leverage DaaS to implement strategies for protecting sensitive data and enforcing compliance with regulatory requirements. ...
