Systems | Development | Analytics | API | Testing

Anthropic Acquires Stainless. What's It Mean for AI Connectivity?

Every few months, a frontier AI lab makes a move that says the quiet part out loud: agents are only as useful as the systems they can reach. The latest example is Anthropic's acquisition of Stainless, the company behind the tooling that turns API specs into SDKs and MCP servers. Anthropic's own framing is direct. Agents need to connect to data and tools, and the path from an API to an agent-ready interface needs to get shorter. We agree. We've been making a version of this argument for two years.

Stop building your modular mobile app the slow way

Your CI pipeline worked fine when the app was young. Then the app grew. Features got split into modules. Teams formed around those modules. And somewhere along the way, what used to be a 4-minute build became a 25-minute one. Then 35. Now nobody pushes to main before lunch because the queue is already backed up. If this sounds familiar, you are not alone. According to Google’s 2024 Developer Survey, 83% of Android apps over 500,000 lines of code struggle with build performance.

WSO2 Accelerates Agentic Enterprise Adoption with New Agent Identity, Forward Deployed Engineers, and Expanded Delivery Partner Ecosystem

London, UK. 21st May 2026 - WSO2 today announced the expansion of its Agent Fabric platform, the introduction of a Forward Deployed Engineering model, and the scaling of its delivery partner ecosystem to accelerate the adoption of the agentic enterprise. Announced at the WSO2Con North America 2026, these initiatives strengthen WSO2's position as the infrastructure layer for the emerging agentic enterprise, where AI agents operate autonomously across applications, APIs, workflows, identities, and data.

The High-Velocity Roadmap: Building Mobile Release Confidence

Whether you're just starting your automation journey or looking to level up to AI-driven quality, this session delivers the insights and tools to help your team release better mobile apps, faster. Sauce Labs experts Ashwini Sathe and Senior Solutions Engineer Parth Patel explore one of modern development's biggest paradoxes: AI-powered development has made shipping faster than ever — so why is maintaining quality getting harder?

What Is a Context Graph and Why Does AI Need One?

The context graph — not the UI layer or system of record — is the true competitive IP of the AI era, and Kong built Context Mesh to help companies govern it. Without the right context layer, AI agents are generic and interchangeable regardless of which LLM is underneath. Companies that own and protect their context graph can differentiate their agentic workflows; those that don't are left with legacy CRUD backends that don't translate to agentic use cases. Context Mesh gives enterprises policy and governance over what agents can consume — the rulebook for all context flowing in and out.#Shorts.

The Truth About AI Web Development and Dev Productivity

Can AI solve the PHP talent shortage — or does it introduce new challenges? In this clip from a recent Zend webinar, “The 2026 State of PHP,” PHP experts Matthew Weier O’Phinney and Adam Culp explore how AI web development is changing the way teams modernize applications, and why AI alone isn’t the answer. AI is already accelerating development workflows, helping teams generate code, document processes, and move faster through modernization projects. But when it comes to replacing skilled engineers, the reality is more nuanced.