Systems | Development | Analytics | API | Testing

How to Easily Build Automation Scripts with Xray's AI Test Script Generation

Test automation is widely recognized as essential to modern delivery; it enables faster feedback, supports CI/CD practices, and increases release confidence. Yet in many organizations, automation growth lags behind development velocity. The reason is rarely a lack of intent. It’s the effort required to convert validated manual tests into automation scripts.

Full Autonomy, Full Security: ClearML and SUSE k3k Bring Virtual Kubernetes Clusters to Enterprise AI

Kubernetes has become the de facto substrate for enterprise AI infrastructure. Its ability to handle complex, long-running workloads, self-healing capabilities, and rich ecosystem of GPU operators, storage drivers, and networking tools make it the natural platform for organizations scaling AI beyond the lab.

Build a Data Input App with Kai

This is a Data App that collects structured product submissions from a team, validates them, queues them for approval, and writes approved entries directly to a Keboola table. I built it with Kai in one conversation. No Google Sheets. No broken column headers. No emailing CSVs. If you've ever needed your team to submit structured data - new products, budget inputs, campaign briefs, vendor details - and the spreadsheet approach keeps falling apart, keep reading.

One untested D365 update, $8M in mis-posted revenue - proof that evergreen updates are not evergreen without QA.

A routine Dynamics 365 Finance & Operations evergreen update introduced “Ledger Posting Logic Enhancements.” No alarms were raised. The system ran smoothly. But behind the scenes, something changed. Revenue postings—critical to how the business understands its performance—started flowing into incorrect accounts and dimensions due to an interaction with custom logic. No crashes. No errors. Just silent misclassification.

The AI Supply Chain Is Now Critical Infrastructure: Lessons from the TeamPCP Campaign That Hit Trivy, Checkmarx, and LiteLLM

In the span of five days in March 2026, a single threat actor—TeamPCP—compromised a vulnerability scanner (Trivy), a code analysis platform (Checkmarx), and the most widely used LLM proxy in the Python ecosystem (LiteLLM). The attack chain was surgical: each compromised tool provided credentials to attack the next target.

The LiteLLM Supply Chain Attack: A Complete Technical Breakdown of What Happened, Who Is Affected, and What Comes Next

In March 2026, security researcher isfinne discovered that LiteLLM version 1.82.8—the most popular open-source LLM proxy in the Python ecosystem, with approximately 97 million monthly downloads—contained credential-stealing malware published to PyPI. Within hours, version 1.82.7 was confirmed to carry a similar payload through a different injection method.

Why 95% of AI pilots fail - and what it takes to scale in the agentic era

Last August, MIT released a landmark report that confirmed what many enterprise leaders had started to fear: most AI pilots are failing. After reviewing hundreds of AI initiatives, researchers found that 95% of generative AI pilots failed to reach production or deliver measurable results. The headline quickly hardened into a cliché: AI doesn’t scale.

Ai-Powered Test Automation: A Complete Guide for Engineering Leaders

Your developers are shipping more code than ever. GitHub Copilot, Cursor, and tools like them have fundamentally changed developer throughput - some teams are seeing 40-76% more code per person per sprint. That is the headline everyone celebrates. The part that keeps engineering leaders up at night is the other side of that equation: your testing pipeline has not changed at the same pace. Tests that used to gate two releases a week now need to gate ten.

Josh Vignona on Leadership, Global Perspective, and Why Travel Is His Lifelong Classroom

Josh Vignona has built his career the way some executives build portfolios: geographically diversified, culturally informed, and deliberately expansive. Known professionally as both Josh Vignona and Joshua Vignona, he has shaped his leadership philosophy not from a single headquarters, but from airports, boardrooms, and city streets across the United States and abroad. From New York City to India, from Tampa to South Korea, Vignona's professional life has been defined by movement. Not as a perk, but as a practice.

FastAPI Testing: Mock LLM APIs for Free

Testing a FastAPI app that calls OpenAI, Anthropic, or Gemini gets expensive fast. The problem is not just the API bill in production. It is all the repeated traffic in development: prompt tweaks, CI runs, regression checks, and the load tests you keep putting off because every run burns tokens. Hand-written mocks do not help much once the app is doing multi-step LLM work.