Systems | Development | Analytics | API | Testing

Stop Moving Enterprise Data: A Better Way to Run AI

Copying enterprise data to run AI is officially dead. Most platforms force you into a risky "lift and shift" trap—shuffling petabytes of protected data into the public cloud, exposing sensitive PII, and burning budgets on massive egress fees. As we’re on the ground with ServiceNow in Chicago this week, we’re taking a closer look at how the Cloudera Workflow Data Fabric Zero Copy Connector for @ServiceNow helps AI agents query governed data directly where it resides — enabling organizations to automate workflows while reducing the cost, complexity and risk of data movement.

How to Use ChatGPT Codex on Mac for the First Time #shorts #aicoding #aidevelopment #iosdev

Never used Codex before? This beginner tutorial shows how to start using OpenAI Codex on a Mac, step by step, after it is installed. What you'll do: Commands from the video (replace the path with the one you copied; your folder path will be different): cd /Users/yourname/Desktop/codex-practice codex First prompt: Create a text file named hello.txt with the words "My first Codex file." Tell me where you saved it.

From Dashboards to AI Agents: Huel's Analytics Journey

You’ve rolled out a modern data stack, built self-service dashboards, and empowered your team to ask their own questions. Job done, right? Not quite. The data landscape is shifting rapidly beneath our feet, which makes it critical to understand how to build your AI for BI platform so you can scale and navigate technology evolutions.

Kong Gets a New Look with Electric Agentic-Era Rebrand

We're pulling back the curtain on a project we've been working on for some time now: the next evolution of the Kong brand. You may have noticed some changes recently to our site, swag, or socials. But today it's official: we're announcing Kong's rebrand and introducing our new mascot, Karl. Without further ado, let's dig in. Along the way, we'll give some insight into the "why" behind it all, while looking back at how things have changed since the early days of Kong. We were the API connectivity company.

Claude and Codex Are Slowing Your Engineering Team Down #speedscale #devops #aicoding #claude #codex

While AI coding tools dramatically slash development time, they are quietly inflating testing and maintenance burdens because teams no longer fully understand their codebase. Discover how leading engineering teams are shifting focus to testing and context packages to eliminate bottlenecks and unlock true AI efficiency.

RAG in Quality Engineering: Ship Faster, Test Smarter | Janani Balasubramanian

How can Retrieval-Augmented Generation (RAG) help Quality Engineering teams ship faster and test smarter? In this TTTribeCast session, Janani Balasubramanian explores the practical applications of RAG in Quality Engineering and how teams can use organizational knowledge, testing data, and engineering context to improve the way they design, prioritize, and execute testing.

Team-Based DLP: Give Each Group Its Own Redaction Rules

A shared Kubernetes cluster rarely belongs to one team. Payments runs checkout in one namespace, search runs search-api in another, and a risk team runs a scorer somewhere else. One Speedscale forwarder captures API traffic for all of them. Redacting that traffic before it leaves the cluster is what makes it safe to use for testing (the background is in The PII Testing Dilemma). Until now, that forwarder ran exactly one DLP rule. Every team that needed a field redacted had to edit the same JSON document.

Best Practices for Modernizing Your Payment Investigation Process with AI

AI agents are proliferating faster than most institutions can govern them and the primary challenge is quickly becoming an "accountability gap." Disconnected pilots rarely scale into accountable, auditable operations. The financial services industry is currently at a tipping point: banks must bridge the gap between initial AI enthusiasm and operational reality.