For Android app developers relying on AI to code, picking the right model can be tricky. Not all models are built the same, and many are not specifically trained for Android development workflows. To ...

The data shows that AI adoption improves delivery speed across the board, especially for lower-performing teams. But it also highlights a clear pattern: teams that already struggle with slow reviews, ...

Researchers are racing to develop more challenging, interpretable, and fair assessments of AI models that reflect real-world use cases. The stakes are high. Benchmarks are often reduced to leaderboard ...

Google has introduced a leaderboard that benchmarks how well AI models handle Android mobile development tasks.

OpenAI wants to retire the leading AI coding benchmark—and the reasons reveal a deeper problem with how the whole industry measures itself.

Claude Code Skills 2.0 adds evals plus benchmark test sets; changes target skill reliability as models update over time.

Alibaba Qwen 3.5 Small models run offline on phones and laptops; 0.8B and 2B sizes, with mixed reliability on hard tasks.

Independent evaluation shows 94% accuracy on legacy code comprehension - 20 points ahead of GPT-4o NEW YORK, NY, UNITED ...

AI-driven coding promised speed, but its code often fractures under pressure, leaving teams to carry the weight of failures that slow products and raise real costs. Buoyed by the rise of AI, many ...

Describing AI development as an "arms race" might seem needlessly bombastic, but there's a reason why this term has entered common usage. It encapsulates the speed and intensity at which companies are ...

Anthropic researchers say Claude Opus 4.6 showed unusual behaviour during a BrowseComp evaluation. The model suspected it was ...