A recurring theme emerges in my discussions with technology leaders: despite leading hundreds or thousands of engineers with mature development processes, they're often overwhelmed by organizational complexity. The root cause is the maze of department-specific tools and processes that have evolved independently over time, creating a paradox where adding more engineering talent actually slows delivery rather than accelerating it ...

Widespread enterprise adoption has cemented artificial intelligence as an integral part of software design, development, and delivery. Relatively new to the scene, agentic AI is poised to double down on the speed and agility of simpler applications of AI, positioning it as a powerful business enabler. Recent research conducted by OutSystems revealed a clear trend: AI agents are maturing from experimental tools to central players in software development and business operations ...

The software development landscape is shifting in ways that demand completely new thinking about team dynamics and collaborative workflows. As AI capabilities expand beyond simple code completion, we're now seeing how human creativity and artificial intelligence can collaborate as partners. This transformation isn't just about adopting new tools or automating existing processes. It represents a complete reimagining of how high-performing teams approach software innovation ...

As organizations deploy increasingly sophisticated Artificial Intelligent (AI) agents and autonomous systems, a critical architectural challenge is emerging: the need to seamlessly handle both continuous data streams and separate task execution within the same infrastructure ...

If you hired a junior developer who made up package names at a rate of 20%, how long would they last? Let's say they work 24/7, take negative feedback without blinking, and write code faster than anyone you've ever met. Does that change the equation? ... The Cloudsmith Artifact Management Survey 2025 showed that, when speaking to developers using AI, 42% said their codebase was now mostly AI-generated. Without thorough reviews, that's a big problem for anyone in the organization in charge of the CI/CD pipeline ...

AI-assisted development — often referred to as "vibe coding" — is transforming the way we write software. New tools are being widely adopted by established developers and newcomers alike, opening up code development to a larger audience, while reducing barriers like time and cost. While this technology promises to usher in a new era of innovation, it introduces a range of new security concerns that security leaders are struggling to mitigate ...

Prompt-based development is already changing how engineers get things done. Tasks that once took multiple manual steps — spinning up environments, writing scripts, or debugging errors — now start with a simple instruction, with an agent handling the rest, looping in the developer only when needed. This shift isn't about replacing engineers; it's about changing how they work. Instead of manually executing every step, engineers now focus more on orchestrating workflows ...

As the European Accessibility Act (EAA) deadline draws closer, my organization, Applause, just released the results of our fifth annual State of Digital Quality in Accessibility survey ... Let's start with the good news. Digital accessibility awareness has steadily grown over the past four years, with the majority of organizations considering it a priority ...

While nearly two in three organizations (63%) claim architecture is integrated throughout development (from design to deployment and beyond), more than half (56%) have documentation that doesn't match the architecture in production, according to the 2025 Architecture in Software Development study from vFunction.

Building pipelines that can share data in real-time instead of batch across enterprise IT systems can drive faster and better innovation. Equipped with data that flows, like fresh water may flow, seamlessly between different applications and systems, developers can more easily come up with solutions that boost productivity, accelerate decision-making, enable better integrations, and more. This blog will explore why and how organizations should prioritize breaking down silos and moving to real-time data to turbocharge developers' capabilities ...

As organizations seek scalable, cloud native architectures, Dapr's developer productivity benefits and growing role in AI applications have driven widespread adoption. Nearly half of surveyed teams are now running Dapr applications in production, marking a significant increase from previous years, according to 2025 State of Dapr Report from the Cloud Native Computing Foundation® (CNCF®) ...

In today's dynamic and competitive business environment, development teams are facing unanticipated challenges as they work to meet rising demands for more sophisticated software solutions ... Recent data from the OutSystems 2025 State of Application Development (SoAD) Report quantifies these challenges, revealing just how critical innovation in app development has become, and the opportunities generative AI (GenAI) and low-code present to support development teams in meeting these persistent demands ...