Systems | Development | Analytics | API | Testing

GitHub Actions macOS runner alternative: M4 Pro with 54GB RAM and same-day Xcode

Bitrise Build Hub is a vertically integrated mobile CI/CD infrastructure layer that drops into GitHub Actions with one line of YAML. GitHub Actions runs your CI, but its Mac runners are holding your mobile builds back. Limited M1/M2 hardware, stale Xcode, no cache co-location, no macOS uptime SLA. The infrastructure wasn't built for mobile. Build Hub was. Build Hub upgrades the runner layer underneath.

Open Banking: The Guide on APIs, Regulations, and the Future of Finance

The global financial services industry is undergoing a massive, API-driven revolution. With the global open banking market valued at $31.61 billion in 2024 and projected to grow to $135.17 billion by 2030, this shift is accelerating worldwide. This definitive guide explores the core APIs, the evolving global regulations (including FAPI 2.0, PSD3, and Section 1033), and the massive opportunities shaping the future of finance for banks, fintechs, and enterprises.

The Real Cost of Software Defects: Customer Churn That Costs Businesses Millions of Dollars

Software defects don’t just drain budgets; they cost businesses customer loyalty. Poor software quality can lead to poor customer experience and drive customer churn, resulting in missed revenue and increased expenses. Learn how better processes, such as test data management, can reduce the cost of software defects and protect your business outcomes.

Lightning-fast infra for GitHub Actions: Bitrise Build Hub in 1 minute

Bitrise Build Hub: A drop-in replacement for GitHub's macOS runners. The largest dedicated Apple Silicon fleet for mobile CI/CD. M4 Pro Apple Silicon with 54GB RAM, Xcode updates within 24 hours, co-located build cache. One line of YAML. 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.

Custom MCP Server vs. AI Data Gateway: Which Is Right for Enterprise AI?

The Model Context Protocol (MCP) is quickly becoming the standard for how large language models connect to enterprise data. As adoption accelerates, engineering teams face a foundational decision: build a custom MCP server from scratch, or adopt an AI data gateway that ships with MCP support, security, and governance out of the box. Both paths have real tradeoffs. This post breaks them down so you can make the right call for your stack, your team, and your risk profile.

LLM Cost Management: How to Implement AI Showback and Chargeback

Every enterprise moving AI into production is about to face a familiar problem in an unfamiliar form: the cost explosion, but for LLMs. This is *very *similar to what happened with cloud. In the early days of cloud, teams spun up infrastructure with no visibility into who was consuming what. Finance got the bill. Engineering got the blame. No one had the data to make good decisions. It took years of hard-won FinOps discipline to fix that. LLM spend is on the same trajectory *and moving faster*.

Understanding ISO/PAS 8800 for AI in Automotive Safety

With the rise of AI use in vehicle software development, concerns arise around its presence in safety-critical applications, especially when it comes to functional safety and regulatory compliance. ISO 26262, the essential standard for automotive development that requires processes for managing, designing, and verifying safety-critical systems, still applies. However, it can fall short when applied to AI models, which are inherently non-deterministic and continuously evolving.

Why do AI agents fail in the enterprise? #aiagents #shorts

Intelligence isn't enough. To make smart decisions, AI agents need context. Shafrine (WSO2) breaks down why integration is the secret sauce to moving AI from a pilot project to a high-performing "agentic" workforce. Learn how connecting your siloed systems provides the "informed decision-making" power agents need to actually get work done.