In today's push to launch faster, speed often takes precedence. But this only works if you're building the right product for your customers. Too often, the design phase of the product development lifecycle is rushed or reduced to UI mockups. When done right, this phase is where the success of your product is ultimately determined ... In my experience, these five best practices elevate the design phase from a checkbox to a strategic advantage, and they've made a measurable impact for the products I've helped deliver ...
Development
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 ...
Software engineers are currently caught between a rock and a hard place. The rock? They're under record pressure to produce and release new software. The hard place? They're increasingly expected to account for the safety, security and provenance of every single software asset they use in those builds. That's demonstrated in the rise of the Software Bill of Materials (SBOM). These two clashing requirements are a source of great anxiety for software engineers ...
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®) ...
Following last year's technology challenges with AI integration and limited resources, tech leaders have pinpointed digital trust as a crucial challenge in software development for 2025, according to our sixth annual Reveal Top Software Development Challenges survey. Respondents identified security (51%), AI code reliability (45%), and data privacy (41%) among their biggest software development challenges for the coming year ...
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 ...
Two years after Oracle introduced its employee-based pricing for Oracle Java SE, concerns remain high, according to the Azul State of Java Survey & Report ...
AI has potential to significantly reduce developer burnout and improve productivity, while also addressing the challenges organizations face in securely and effectively managing AI-generated code, according to State of Software Delivery Report: Beyond CodeGen – The Role of AI in the SDLC from Harness ...
Over the years, the industry has created a growing list of "Ops" disciplines — DevOps, DataOps, MLOps, and more. But let's be honest: these titles exist because of the gaps left by tools that failed to evolve alongside developers' needs ... The reality is simple: today, every developer and engineer is an Ops ...
Enterprises have good reason to invest in generative AI. But the developers leading the charge are often apprehensive. That's because while enterprise AI applications eventually make workflows simpler, building those applications can be complex and challenging. Indeed, a new survey published in January by IBM and Morning Consult reveals several hurdles AI developers are facing, from an overwhelming number of dev tools to a dearth of skills ...
The results contained within the Perforce 2024 State of Game Technology Report demonstrate just how much the technology used to create games such as Call of Duty and Minecraft is entering other industries. Of the nearly 600 developers, artists, and managers surveyed worldwide, game engine use outside of gaming was close to 50% ...
Industry experts offer thoughtful, insightful, and often controversial predictions on how DevOps and development technologies will evolve in 2025. Part 2 covers more predictions about software development ...
As part of DEVOPSdigest's annual list of DevOps predictions, industry experts — from analysts and consultants to the top vendors — offer thoughtful, insightful, and often controversial predictions on how DevOps and development technologies will evolve in 2025 ...
In Part 18, the final installment in this series, experts offer predictions about how AI will impact developers in 2025 and beyond ...
In Part 16 of this series, experts offer predictions about how AI will change DevOps and development processes in 2025 and beyond ...
In Part 15 of this series, experts offer predictions about how AI's support for code generation will evolve in 2025 and beyond ...
The Holiday Season means it is time for DEVOPSdigest's annual list of DevOps predictions. We are kicking off the predictions series this year with the final installments of a series run on DEVOPSdigest last month: Exploring the Power of AI in Software Development. In Part 14, experts offer some predictions about how AI's support for software development will evolve in 2025 and beyond ...
In Part 13 of this series, experts offer some final recommendations to ensure success while using AI to support software development ...
Part 12 of this series features expert recommendations on how to avoid the risks associated with using AI to support software development ...
In Part 11 of this series, the experts provide recommendations on how to get started using AI to support software development ...
In Part 10 of this series, the experts speculate on the impact AI will have on the developers themselves — how their role will evolve and how they will have to adapt ...
Will AI replace humans? Will developers be displaced? In Part 9 of this series, the experts discuss how AI will impact the software development workforce ...
In Part 8 of this series, the experts express opposing views on the current state of AI adoption across the development community ...
In Part 7 of this series, the experts discuss the maturity of AI and try to answer the question: Is AI mature enough to actually write code? ...
In Part 5 of this series, the experts warn of even more limitations, challenges and risks associated with using AI to help develop software, including bias, hallucinations and more ...