The AI model race is entering a different phase, with Agentic AI emerging. For years, comparing models meant asking the same questions to different systems. Which model writes better code, Agentic AI? Which one reasons better? Which one produces the most accurate explanation? That approach becomes increasingly incomplete when AI systems stop behaving like chat
How to Benchmark Agentic AI: Master GPT-6 and Claude 5.5 Read More »
For years, the context ai conversation was dominated by one question. That focus shaped many discussions. Which model should we use? Then came another. How do we write better prompts using context ai? Today, a different question is becoming increasingly important. What does the AI actually know about the environment in which it is supposed
How Context Becomes the Essential AI Engineering Fuel Read More »
Why Modern Software Testing Must Go Beyond the Application Itself A team can build a reliable backend, write hundreds of automated tests, achieve excellent code coverage, and still deliver a poor experience to users. The reason is simple: The software being tested is not necessarily the software being experienced. Between an application and its user
The Browser Is Part of Your Application Read More »
When Software Moves Faster Than Our Ability to Prove It Works Software engineering has spent decades learning how to manage technical debt. We know what happens when architecture is neglected. We know what happens when shortcuts accumulate. We know that a system can continue working while becoming increasingly difficult, expensive, and risky to change. But
Quality Debt: The New Technical Debt Read More »
