Aleph, an AI coding agent sets new records on four major formal reasoning benchmarks, proving that automated code generation can be formally verified for mission-critical systems.

15 cloud scenarios. 43 merge-ready fixes. 100% loop closure. 12 minutes and $17 to author once; seconds and zero-cost ...

Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of ...

Most AI coding benchmarks still ask the question: did the agent produce code that passes the current tests? This is a useful question, but it is too narrow. Software development is iterative.

DeepSWE puts GPT-5.5 atop the AI coding leaderboard while raising new questions about Claude Opus, SWE-Bench Pro, and ...

Achieving an 80 percent automated codebase requires more than purchasing API tokens or configuring agent loops; it demands a ...

Anthropic reveals Claude Code now writes over 80% of merged production code, up from low single digits in early 2025, reshaping AI development and engineer ...

Claw-Anything simulates a real digital existence and asks AI assistants to handle it. GPT-5.5, the best model available, scored 34.5%.

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 ...

Microsoft's new vulnerability-scanning system, codenamed MDASH, scored 88.45% on the CyberGym benchmark, surpassing ...

Forbes contributors publish independent expert analyses and insights. I write about the economics of AI. What looks like intelligence in AI models may just be memorization. A closer look at benchmarks ...