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.

Data and AI Trends 2026: Predictions for Agentic AI Production

Agentic AI is moving quickly from experiments to real work. In 2026, it shows up inside the workflows that drive outcomes: decisions, operations, and accountability. In the season 7 premiere of the Data Chief podcast, host Cindi Howson sat down with three leaders who work at the intersection of AI ambition and enterprise execution: Paul Baier (GAI Insights), Jennifer Belissent (Snowflake), and Rory Blundell (Gravitee).

Build vs. Buy: Why Embedded Analytics is the Strategic Choice for Modern Data Leaders

For today’s CTOs and CIOs, the pressure to deliver actionable data insights within your products has never been higher. However, a critical dilemma often stalls your progress toward the business intelligence tools you need for the task: Should your engineering team build a bespoke analytics engine from scratch, or should you integrate a professional embedded solution?

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.

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: 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.

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.

The Future of AI in the Enterprise

As AI continues to rise in importance across all industries, the cost of implementation, readily available access to cloud computing, and practical business use cases make AI-powered offerings a competitive advantage for product managers, engineering, and data leaders. However, AI isn’t without its fair share of risks and challenges.

How to Use Databox MCP in Claude to Get Revenue Metrics

See the Databox Model Context Protocol (MCP) in action inside Claude. In this video, we demonstrate how to connect your business data to Claude AI to instantly audit your revenue metrics. Instead of navigating through multiple dashboards, we use the Databox MCP to: Stop guessing if your data is accurate. Start verifying it with Claude and Databox. About this series: This video is part of our "Chat with Your Data" series, where we explore the Databox MCP.

My AI Agent Stole My Crypto #speedscale #openclaw #aicoding #codingagent #security

I thought I found the ultimate coding shortcut: an autonomous AI agent. Turns out, I just bought a one-way ticket to a digital nightmare. A friendly reminder to my fellow devs: Validation isn't optional—it's survival. Your laptop shouldn't have a higher calling than your production environment. Validate now: speedscale.com.