Systems | Development | Analytics | API | Testing

Introducing Agent-Flavored Markdown (AFM): Natural Language Definitions for Framework-Agnostic AI Agents

Advances in large language models (LLMs) and their widespread accessibility have transformed both what software can do and how we build it. The use of LLMs has quickly evolved from simple single-turn interactions to AI agents that reason, use tools, manage state, and operate autonomously.

Modernizing Integration & API Management with Kong and PolyAPI

APIs and integrations are the foundation of the modern enterprise. Every organization needs to securely connect systems, move data, and automate workflows, all while maintaining control, visibility, and flexibility. Increasingly, those same APIs are also being consumed by AI-powered applications and agents that must interact safely with underlying business systems.

What is Perforce Delphix?

I have spent years working alongside enterprise leaders who face a common dilemma: the need to innovate faster while contending with strict compliance regulations and soaring infrastructure costs. In my experience, the biggest bottleneck isn’t a lack of ideas or talent. It’s data. Teams wait days or weeks for the data they need to build and test. That’s why I am excited to share how Perforce Delphix solves this challenge.

How to Connect LLM Chat and AI Agents to Enterprise Data Using Built-In MCP in DreamFactory

TL;DR: DreamFactory 7.4+ includes a built-in MCP (Model Context Protocol) server that lets you connect any LLM—ChatGPT, Claude, Perplexity, or custom AI agents—to your enterprise databases through governed, role-based APIs. Setup takes minutes: create an MCP service in the admin console, copy the OAuth credentials, and point your AI application to the generated endpoint.

Bitrise Build Cache: Xcode Setup & Configuration

Join Lex, a solution architect at Bitrise, for a demonstration on how to configure Xcode build cache and validate that the configuration has been done correctly. This video focuses on using the build cache with Bitrise CI, although the build cache also works with external CI. Bitrise, Xcode Build Cache, CI/CD, Continuous Integration, Mobile Development, Xcode 26, App Development, Build Optimization, Cache Warming, Workflow Configuration, iOS.

Bitrise Build Cache: Comparing invocations to identify bottlenecks

Lex, a solution architect at Bitrise, guides you through a demonstration on comparing build cache invocations to identify the causes of build speed, cache hit rate, or overall build behavior. The focus is on Gradle, but the comparison feature works for other build systems like Bazel and Xcode. Bitrise, Build Cache, Gradle, CI/CD, Troubleshooting, Performance, Cache Hit Rate, Invocation Comparison, Build Optimization, Diff Tracker, Bazel, Xcode.

Bitrise Build Cache: Gradle Setup & Configuration

Lex, a solution architect at Bitrise, provides a demonstration on how to configure Bitrise Build Cache for Gradle projects when using Bitrise CI. While Build Cache works with any CI solution, the setup procedure shown is tailored for Bitrise CI users. Bitrise, Gradle Build Cache, CI/CD, Continuous Integration, Mobile Development, Android, Build Optimization, Cache Warming, Workflow Configuration, Android Development.

IDP vs. OCR: Evolving Approaches to Document Processing

Reading emails, scanning contracts, manually processing invoices—the tedious tasks related to document processing can jam up your business operations. Document processing is a prime candidate for automation, but the technology is advancing so fast, it can be hard to know where to start or when it is time to modernize. OCR (Optical Character Recognition) and IDP (Intelligent Document Processing) are two approaches to tackling business documents.