Systems | Development | Analytics | API | Testing

With all the online chatter about Copy Fail, DirtyFrag, and Fragnesia, we prepared this simple explainer about what these local privilege escalation vulnerabilities are and how they affect Bitrise customers. Bitrise provides a full-stack, vertically integrated mobile DevOps solution that unites the tools, processes and testing frameworks engineering teams need to build best-in-class mobile experiences. Over 400,000 developers use Bitrise’s products: Bitrise CI, Build Cache, Release Management, and Insights.

AI fixed the M&A data nightmare, but @SPGlobalMarketIntelligence 's Saugata Saha says the real win is shifting your mindset. Stop treating data as a byproduct...make it your competitive edge! Catch the full discussion of podcast on any podcast platform.

Ryan Tucker, CRO & Co-Founder of Hakodaa (now an IBM company), shares how their True Blue Snowflake partnership since 2021 drives data transformation and AI value with vertical expertise. He highlights customer wins including Cortex AI-powered sentiment analysis for a UK wealth manager and Snowflake Intelligence for retail executive reporting, and discusses how the IBM acquisition amplifies their Snowflake-specialized DNA with global reach.

Software is going headless: the internet is shifting from GUIs built for humans to APIs, MCP servers, and CLIs built for machines and agents. Machines will consume the internet at a scale 1,000x greater than humans — more agents will exist than people, and programmatic access moves far more data than any click ever could. This transition requires API and AI infrastructure capable of moving terabytes at a scale never built before. Kong provides the connectivity layer for this machine internet — the infrastructure between agents, LLMs, and the services they consume.#Shorts.

AI agents that never sleep are changing how businesses make decisions. Here's the full WSO2Con keynote on what that shift means for your organization. In this opening keynote from WSO2Con, the CEO walks through the transition from the digital era to what he calls the "agentic era" — where autonomous agents handle judgment calls across sales, marketing, and support. He's direct about the risks too: agents lack empathy, can make costly errors, and still need guardrails to operate safely at scale.

Unlock true data interoperability with Cloudera Data Sharing, powered by the Iceberg REST Catalog. Discover how it enables frictionless data collaboration across popular platforms and engines, eliminating costly data movement and replication. In this session, we'll demonstrate in action.

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 does it really take to build AI-ready data systems people can trust? In this episode of Data Builders Club, James Serra shares lessons from 40+ years in data and AI, covering data quality, trust, Data Mesh trade-offs, real-time systems, and why strong foundations matter more than hype in the AI era. Featuring insights from James Serra, Data & AI Solution Architect at Microsoft and author of Deciphering Data Architectures.

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.

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.