Systems | Development | Analytics | API | Testing

Why Infrastructure Platform Consumption Services Matter Now

During the past year, AI has transformed the infrastructure market. Organizations are rapidly expanding data center and cloud capacity to support new AI workloads, while facing growing pressure to manage cyber risk, control costs, and demonstrate measurable business value. As infrastructure investments increase, technology leaders must balance innovation with operational efficiency and financial accountability.

Wherever your config lives: Repo-stored and modular bitrise.yml

Most CI tooling makes you pick a side. Visual editing or code. Git as your source of truth or a decent place to edit. A config small enough for one file, or a modular structure your tooling flattens the moment you touch it. The Bitrise Workflow Editor does not ask you to choose. It meets your config where it lives. One file or forty, stored on Bitrise or in your repo. This post covers both, in that order.

[Finance Demo] Automating Revenue Recognition with AgentSpot | RRC Preparer Agent

See how AgentSpot can take a complex revenue recognition process and turn it into an end-to-end workflow. In this demo, Manal El-Hindi walks through the RRC Preparer, an agent built to automate the first draft of an ASC 606 revenue recognition checklist from an order form. In this video, you'll see: What is AgentSpot? AgentSpot is multiplayer AI for your business. Anyone can build, share, and collaborate with AI agents connected to your company’s data, context, and tools.

Why Real Estate Data Doesn't Match: Causes and How to Fix It

Quick answer: Real estate data often differs across systems because MLS, PMS, CRM, and ERP platforms use different identifiers, schemas, formats, and update rules to represent the same property. Fixing it isn’t a one-time cleanup. It requires a reconciliation capability: identify candidate matches, normalize values, validate them, enrich missing fields, consolidate confirmed duplicates, resolve source priority when systems disagree, and monitor for new inconsistencies as records change.

How to Automatically Fail Over Between LLM Providers | Kong AI Gateway

Learn how to automatically switch between LLM providers when your primary provider becomes unavailable. In this AI Gateway Discovery video, we configure automatic failover using Kong AI Gateway’s Priority load balancing algorithm. You’ll learn how to assign models to priority groups and fall back to a backup group when all targets in the preferred group are unavailable. Follow along to set up automatic LLM failover and make your AI applications more resilient to provider outages.

What Is Bugfender? Find and Fix Bugs on Real User Devices

Bugs don’t always cause a crash, and they can be difficult to reproduce on your own device. Bugfender helps development teams investigate app issues with remote logs, error monitoring, crash reports, and user feedback in one dashboard. Add the Bugfender SDK to supported mobile and frontend apps to collect logs from real devices, including while a device is offline. Review device context and investigate issues that traditional crash reporting may miss.

Meet Bugfender: Debug Apps With Real User Context #aicoding #iosdev #aidevelopment #aidebugging

Trusted by more than 35,000 apps, Bugfender helps developers understand bugs on real users’ devices, even without a crash. Collect logs, errors, device details and feedback with the SDK, then connect an AI agent through MCP to investigate the evidence.

Top Care Journey Orchestration Tools for Patient Engagement

Care journey orchestration tools connect patient communication with scheduling, care instructions, and follow-up workflows. They use available patient information and configured rules to guide actions across care stages. Depending on the tool, patient responses can trigger scheduling, additional guidance, or care team alerts. The goal is engagement that produces action.

Best AI Video Tools for Software Demo and Team Marketing Workflows

Sponsored by Magic Hour. This article was prepared with AI assistance. It compares documented product capabilities and practical workflow considerations; it does not report hands-on tests, measured performance, or a universal ranking. Choosing an AI video tool is partly a creative decision and partly a systems decision. A clip must look appropriate, but a marketing team also needs to know where its inputs came from, how the result will be reviewed, and whether another colleague can reproduce the process. An impressive demo answers only one of those questions.