Systems | Development | Analytics | API | Testing

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.

Automotive Industry Trends 2026: What Software Developers Need to Know

The automotive industry has been undergoing significant changes as it works to adapt growing market demands and challenges associated with vehicles that are becoming much more software-defined. Here, we take a look at some notable automotive trends 2026, including highlights from our report, the 2026 State of Automotive Software Development, in partnership with Auto IQ and the Eclipse Foundation.

How to step through JavaScript code

And more to the point… why do I need to read a whole blog post on it? Two good questions. Well when we’re debugging, stepping removes the guesswork by letting us watch the logic unfold step-by-step. We can pause the code, go through the execution one instruction at a time and isolate the exact point where the bad stuff happens. This is one of the most reliable ways to understand why a bug happens, not just where it shows up. It also shines a microscope on our code flow, showing us.

AI in Software Testing: The Triple Threat to QA in 2026

It is Monday morning. Your VP of Engineering just forwarded a company-wide memo: every team needs to demonstrate AI adoption by end of quarter. At the same time, you learned last week that your QA budget was trimmed by 15%, because leadership assumes AI will "make testing more efficient." And your developers? Thanks to Copilot, Cursor, and Claude Code, they are now shipping 76% more code per person than they were two years ago.

How Automation Is Transforming Risk Assessment in Health Insurance

Key Takeaways Risk in health insurance no longer sits still. It changes with every diagnosis, claim, wearable signal, and care interaction. Treating it as a one-time underwriting event no longer works. Automation doesn’t just make things faster — it keeps things going. With automated risk assessment, insurers can track health risk as it changes, using live, up‑to‑date data instead of one‑time snapshots.

What Is an EHR?

Electronic Health Records (EHRs) are the digital backbone of today’s healthcare. They first began as a simple replacement for paper charts. Over time, they’ve grown into powerful, centralized systems that manage clinical workflows, support data sharing, and help keep patients more engaged in their care. Now, EHRs are much more than just digital filing cabinets.