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.

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 ...

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

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 ...

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

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 ...

Harness-1 suggests that the future of agentic AI lies in building better environments for models to work within, rather than ...