Testing AI is Not Like Testing Software and Most Companies Haven't Figured That Out Yet.
When a login button breaks, you know it. The bug is reproducible, the fix is straightforward, and the path from problem to resolution is clear.
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
From Faster Code to Safer Code: Maximizing AI's Benefits with Static Analysis
As more developers use AI to help write code, studies show that AI-generated code quality is declining. Explore how static analysis keeps development momentum while ensuring software quality.
Resume tokens and last-event IDs for LLM streaming: How they work & what they cost to build
When an AI response reaches token 150 and the connection drops, most implementations have one answer: start over. The user re-prompts, you pay for the same tokens twice, and the experience breaks. Resume tokens and last-event IDs are the mechanism that prevents this. They make streams addressable – every message gets an identifier, clients track their position, and reconnections pick up from exactly where they left off. The concept is straightforward.
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Building Speedy: An Autonomous AI Development Agent
How we built an AI agent that implements Jira tickets, creates merge requests, and tracks them on its own, and our journey to get to that point.
AI Coding Agents Have a UX Problem Nobody Wants to Talk About
The pitch was simple: let AI write your code so you can focus on the hard problems. Three years into the AI coding revolution, and developers are focused on hard problems alright, just not the ones anyone expected. Instead of designing systems and solving business logic, engineers in 2026 spend a startling amount of their day managing the AI itself. Should you use Fast Mode or Deep Thinking? Haiku or Opus? Cursor or Claude Code or Windsurf? Should you write a SKILL.md file or a custom system prompt?
Scalable AI Economics: Achieving Secure, Hybrid Intelligence with Cloudera, AMD, and Dell Technologies
Enterprise interest in generative and agentic AI has accelerated dramatically over the past two years. Organizations across industries are exploring how AI agents, intelligent assistants, and automation can improve productivity, streamline operations, and unlock insights from growing volumes of enterprise data. Yet as enthusiasm grows, so do questions around cost, security, and operational complexity.
The top 11 AI-assisted automated testing tools for QA in 2026
When it comes to QA, AI-powered automated testing tools promise more speed, better coverage, and lower maintenance. But they don’t all solve the same problems, and their approach to solving problems can be fundamentally different. Some platforms lean heavily into autonomy. Others focus primarily on speed or aggressive self-healing. A smaller group applies AI in specific parts of the workflow while preserving test execution reliability and human control.
Why Your AI Pilot Won't Make It to Production (And What to Do About It)
Most AI pilots fail to reach production not because the models don’t work, but because enterprises struggle with data governance. While pilot-phase AI projects demonstrate impressive results in controlled environments, they hit governance walls when moving to enterprise-scale deployments. This post examines why AI initiatives stall before production and provides a governance-focused approach for breaking the cycle.
Cloudera Private AI: Bring AI to Your Data Anywhere
Cloudera AI changes the game. Cloudera is the only data and AI platform that delivers the secure cloud experience anywhere—public clouds, data centers, and the edge. We provide the foundation you need for real AI, real scale, and real business impact—without ever giving up control.
Ep 64 | AI Managed Services: A Smarter Path for SMEs
AI adoption is accelerating across small and medium-sized enterprises (SMEs), but many businesses lack the in-house expertise to build and manage AI infrastructure effectively. In this episode of The AI Forecast, Paul Muller speaks with Hyve’s Marketing and Operations Director, Charlotte Webb, about how managed service providers (MSPs) are reshaping AI adoption for SMEs. They explore the build vs. buy debate in AI solutions and why cloud computing alone doesn’t guarantee lower costs, better performance, or compliance.