Anthropic adds permissions auto mode in Claude Code

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.” …

The 2026 Cloud-Native Developer Survey: Tracking Adoption and Maturity in Platform Engineering

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 …

Great documentation takes more than AI

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 …

The Context Advantage

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 …

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Indirect Injection and Multi-Modal Attacks: Poisoning the Pipeline

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 …

Agentic AI Requires Local CI

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 …

Why Modernizing Your Data Architecture Means More Than Just Moving Your Data

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 …

Securing the Code Factory: Why SDLC Infrastructure Has Become a Core Cloud Risk

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 …

Why We Need an Open Source System of Context in the AI Era

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. …

The trap of using external AI services: Is your business doomed — or is there a way out?

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, …

Swa introduces multi-model AI orchestration platform

AI startup Swa Technology today released a multi-model AI orchestration platform that incorporates models from open source and commercial providers to meet engineers where they are at and cut down on shadow AI. While many organizations try to cut down on shadow IT and AI by offering users limited choices of tools, Swa’s platform provides …

SD Times News Digest: SmartBear BearQ, Chainguard Agent Skills — March 18, 2026

SmartBear releases BearQ agentic QA system SmartBear today announced the release of BearQ, an agentic QA system that can discover how applications work to ensure their integrity. According to the company, BearQ,  a part of SmartBear’s Application Integrity Core product suite, can autonomously explore how applications work and adapt to any changes in code, testing …

Product Management Principles I Learned Building 80+ Enterprise APIs

CDK Global processes approximately $540 billion annually in automotive commerce. When the company decided to open its integrations through Modern APIs, the challenge wasn’t technical. It was figuring out which of the hundreds of possible data endpoints would actually drive adoption among dealership software integrators. Over three years, the program shipped more than 80 APIs …

How SerpApi provides LLMs with real-time data

In many ways, generative AI has made finding information on the Internet a lot easier. Instead of spending time scrolling through Google search results, people can quickly get the answers they’re looking for with a simple natural language prompt. However, sometimes people have questions that require recent information, and because LLMs are trained on past …

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Your Developers Hold the Key to Your Next Breakthrough. Are You Empowering Them?

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 …

Trusted AI for the Enterprise

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 …

SD Times Supercast Series: AI-Driven Testing

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. …

Beyond the Hype: Actually Mesuring AI’s Impact on Your Engineering Team

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 …

Agent-to-Agent Collaboration & Secure Integration: Harnessing A2A with agentgateway

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. …

6 Tasks Where AI Leads in QA

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 …

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    Your Developers Hold the Key to Your Next Breakthrough. Are You Empowering Them?

    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 …

  • White Papers

    Trusted AI for the Enterprise

    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 …

  • White Papers

    SD Times Supercast Series: AI-Driven Testing

    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. …

  • Webinars

    Beyond the Hype: Actually Mesuring AI’s Impact on Your Engineering Team

    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 …

  • Webinars

    Agent-to-Agent Collaboration & Secure Integration: Harnessing A2A with agentgateway

    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. …

  • Webinars

    6 Tasks Where AI Leads in QA

    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 …

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