Contributed Content
From Autocomplete to Autonomous: How LLMs Are Transforming Software Engineering
Dheer Toprani | | agentic, agents, AI tools, coding, high-stakes software, LLM, Productivity, software engineering, transformation, vibe codingLLMs are reshaping software engineering and boosting productivity, evolving from advanced autocompletes to autonomous collaborators ...
Bridging the Gap: Datadog App Builder & Private Infrastructure
Datadog's App Builder is a game-changer, extending the platform beyond observability to empower users to build custom applications ...
Securing the Future: DevSecOps in the Age of Artificial Intelligence
Why DevSecOps is a critical discipline in the AI era, the benefits and challenges of integrating AI into DevSecOps pipelines and why it provides a framework for successfully adopting these emerging technologies. ...
The Observability Blind Spots That Could be Costing You Your Best Customers
The future of observability isn’t just about collecting more data; it is about truly understanding what is happening at the most granular level and fixing issues before they cost you your biggest ...
How to Extend an Application Security Program to AI/ML Applications
Gopinath Rebala | | AI/ML Applications, Application Security Program, appsec, Data Security Model, Large Language Models, LLMs, Runtime Environments, Security Risks, supply chain security, Third-party DependenciesWhile various AI/ML application risks are like traditional application security risks and can be protected using the same tools and platforms, runtime security for the new models requires new methods of securing ...
The Future of Scalable Digital Architecture in Fintech
Fintech companies need architectures that can handle vast amounts of real-time data while ensuring seamless and personalized experiences for users ...
DAST is Broken, Not Dead. Dynamic Testing Must Evolve
Rebranding DAST isn’t about slapping a new label on the same old toolset — it is about demanding more from vendors and shifting the way we think about security testing ...
Why API-First Engineering is the Way Forward for Software Development
Tishan Dahanayakage | | API, application programming interface, software applications, software engineering, WSO2An API-first engineering strategy aims to enhance developer experience and productivity by providing an API marketplace with improved discoverability, enabling developers to quickly find the resources they need ...
Blending AI and DevSecOps: Enhancing Security in the Development Pipeline
Exploring how businesses can secure their development pipelines by integrating AI into DevSecOps and adopt a more proactive approach ...
Top 4 Considerations to Keep in Mind When Vetting Developers
A strong developer relationship is characterized by transparency and trust in all aspects of project development, efficient ongoing communication and clarity around expectations at every stage. ...
Navigating the AI-Powered Era: Why Modern Deployment Platforms Must Evolve Beyond Jenkins & ArgoCD
To thrive in the AI era, development teams need more than just automation; they need intelligent, integrated deployment platforms that abstract unnecessary complexities from the underlying infrastructure while automating essential operations ...
Intelligent Apps & Developer Platforms: The Complete Guide
Intelligent applications transform how we interact with technology, beyond traditional software to create intuitive and efficient systems ...
