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 …
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 …
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.” …
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 …
Kubernetes is evolving fast, and one of the biggest changes in recent years has been the move from annotations to Custom Resource Definitions (CRDs) for configuration and extensibility. This shift is especially visible in ingress configuration, where CRDs are taking over to provide better structure, validation, and scalability. The Kubernetes Gateway API, built entirely on …
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 …
THIRD OF FOUR PARTS Parts 1 and 2 covered how LLMs process input and how attackers exploit direct access to the prompt. But what if the attacker never touches the prompt directly? Indirect prompt injection represents a more insidious threat: malicious instructions embedded in content the LLM retrieves and processes, allowing attackers to compromise users …
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 …
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 …
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 …
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 …
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. …
In the fast-moving world of financial technology, developers are caught in a relentless, high-stakes tug-of-war. On one side, the product and growth teams are demanding a frictionless, sub-second user onboarding experience. They know that every additional form field or loading spinner increases the abandonment rate. On the other side, the SecOps and compliance teams are …
Once, when ChatGPT went down for a few hours, a member of our software team asked the team lead, “How urgent is this task? ChatGPT isn’t working — maybe I’ll do it tomorrow?” You can probably imagine the team lead’s reaction. To put it mildly, he wasn’t thrilled. Today, according to a Stanford HAI report, …
Engineering leaders are under more pressure than ever. AI coding tools are being rolled out across teams at breakneck speed. Executives want to see measurable impact. DORA metrics and throughput numbers tell part of the story, but they can’t tell you why deployment frequency dipped last quarter, or whether your developers actually trust the AI-generated …
Building Context Aware Systems Developers Can Rely On AI is rapidly becoming embedded in the software development lifecycle. Yet many organizations are discovering a hard truth: intelligence without context is unreliable. Models generate plausible output, but they lack awareness of system architecture, internal policies, API contracts, ownership structures, and downstream impact. In enterprise environments, that …
Join the premier event series to uncover the latest in AI in Test trends related to MCP, Agents, and AI driven automation. Speakers will present solutions you to learn how to deliver value for your organizations. …
Your engineering team is using AI coding tools, but when the CEO, CFO, or board asks, “What’s the actual ROI?”, you’re stuck between “It feels faster” and “I can’t actually prove it.” License counts are useless, and velocity metrics can’t isolate the AI variable. Join GitKraken’s VP of Engineering, Stasia Zamyshlyaeva, as she shares her …
LIVE: Thursday, Nov 20 2025 @ 1PM ET As AI agents become increasingly capable, we’re stepping into a new era where a single agent may not hold all the domain knowledge needed for a complex task. That’s where Agent-to-Agent (A2A) collaboration comes in, which is agents reaching out to other agents, sharing abilities, and combining strengths. …
When tests scale to thousands, who’s in charge? In this session, we’ll explore six breakthrough areas where artificial intelligence now leads in QA—where AI doesn’t just assist, it performs. These advances represent not incremental improvement but a paradigm shift. QA has entered the generative era, where AI models can reason about user flows, infer data relationships, and produce …
Engineering leaders are under more pressure than ever. AI coding tools are being rolled out across teams at breakneck speed. Executives want to see measurable impact. DORA metrics and throughput numbers tell part of the story, but they can’t tell you why deployment frequency dipped last quarter, or whether your developers actually trust the AI-generated …
Building Context Aware Systems Developers Can Rely On AI is rapidly becoming embedded in the software development lifecycle. Yet many organizations are discovering a hard truth: intelligence without context is unreliable. Models generate plausible output, but they lack awareness of system architecture, internal policies, API contracts, ownership structures, and downstream impact. In enterprise environments, that …
Join the premier event series to uncover the latest in AI in Test trends related to MCP, Agents, and AI driven automation. Speakers will present solutions you to learn how to deliver value for your organizations. …
Your engineering team is using AI coding tools, but when the CEO, CFO, or board asks, “What’s the actual ROI?”, you’re stuck between “It feels faster” and “I can’t actually prove it.” License counts are useless, and velocity metrics can’t isolate the AI variable. Join GitKraken’s VP of Engineering, Stasia Zamyshlyaeva, as she shares her …
LIVE: Thursday, Nov 20 2025 @ 1PM ET As AI agents become increasingly capable, we’re stepping into a new era where a single agent may not hold all the domain knowledge needed for a complex task. That’s where Agent-to-Agent (A2A) collaboration comes in, which is agents reaching out to other agents, sharing abilities, and combining strengths. …
When tests scale to thousands, who’s in charge? In this session, we’ll explore six breakthrough areas where artificial intelligence now leads in QA—where AI doesn’t just assist, it performs. These advances represent not incremental improvement but a paradigm shift. QA has entered the generative era, where AI models can reason about user flows, infer data relationships, and produce …
