Sonar releases tools to verify code in agentic development Following the recent launch of Sonar’s framework for software development in the age of AI, the Agent Centric Development Cycle, the company has announced the open beta of three new products to autonomously verify code in agent-driven development. AI agent coding are reinventing the way software … continue reading
For software engineering leaders, data availability and quality issues now represent the primary barrier to AI implementation. Organizations that lack automated quality controls embedded throughout the software development life cycle (SDLC) face escalating risks: poor data quality disrupts business operations with bugs, triggers compliance violations, and derails modernization projects. Software engineering leaders can avoid costly … continue reading
A Fortune 500 enterprise needs to implement sentiment analysis across customer support tickets, product reviews, and social media mentions. This scenario illustrates the paradigm shift from “build vs. buy” to “configure vs. code.” Organizations can approach AI implementation in three ways: building custom integrations directly against model provider APIs, purchasing separate per-vendor SaaS solutions, or … continue reading
Even as organizations rely on AI to create code and engineering teams are releasing daily or even more often, those same teams report that almost a quarter of their deployments require remediation, and their time to remediate is up to more than 7 ½ hours. This, according to the 2026 State of DevOps Modernization Report … continue reading
Shadow AI is considered the next iteration of Shadow IT, with the big difference being that while developers might use a self-contained, unauthorized tool in their work, the tool itself does not create risk. Shadow AI is particularly troublesome because an unauthorized model can gain access to databases it shouldn’t have and lack the system … continue reading
I watched one of our engineers explain the same authentication pattern to Claude Code for the fourth time last month. Not because he forgot he’d explained it. Because the tool forgot. Every session, from scratch. “We use JWT validation at the gateway layer, not in individual services.” He’d said it three days ago. And the … continue reading
Anthropic today introduced a new permissions auto mode in Claude Code that allows Claude to make permission decisions on your behalf, with safeguards monitoring actions before they run. In Claude Code, default permissions need human approval, for safety, yet some developers skip those permissions, which could lead to what Antrophic called “dangerous and destructive outcomes.” … continue reading
A recent survey of more than 400 professional developers worldwide explored their experiences with platform engineering tools across three critical domains: workflow automation, application delivery, and security and compliance management. The technologies featured were selected by the Cloud Native Computing Foundation and its End User Community based on relevance and importance to the cloud-native landscape. The … continue reading
Documentation used to support the product. Today, it’s fundamental to the product experience, especially as AI becomes the primary way people learn, search, and decide. For many users, documentation is the first (and sometimes only) way they evaluate, adopt, and successfully use what you’ve built. As the use of AI has grown, documentation has also … continue reading
When OpenAI announced its persistent memory feature for ChatGPT in early 2025, it was presented as a convenience. Users could now have the model remember prior context, preferences, and facts, making interactions smoother and more personal. On the surface, it was a feature update. But at a deeper level, it hinted at a shift that … continue reading
Over the past two years, the pace of innovation for AI code assistance has been nothing short of astounding. We’ve moved from “enhanced autocomplete” systems to ecosystems of AI agents capable of completing complex tasks and cranking out prodigious amounts of code. At the same time, developers are being asked to build, test, and deploy … continue reading
Many organizations believe they’ve modernized their data architectures, yet still struggle with latency, scaling, and AI readiness. Despite major investments in cloud infrastructure, data systems often remain constrained by assumptions and architectures rooted in an earlier era. As data continues to underpin nearly every digital experience (including agentic AI), enterprises are reexamining the foundations of … continue reading
For years, software security focused on the final product: the code that ships. Today, attackers are increasingly targeting the systems that build the software itself. The shift is logical. Breaching a single app yields limited returns, whereas compromising the infrastructure that builds thousands of apps can quietly scale impact across an organization. As application security … continue reading
The market keeps saying “SaaS is dead.” That’s probably true, but it’s also incomplete. What’s actually dying is the idea that value lives inside a vendor-controlled black box. The next era is about utilities: unlimited coding capacity and unlimited analytical capability. And if those two utilities are real, then the vendor model has to change. … continue reading
