Most widely cited AI coding benchmarks, including the original SWE-bench, were built primarily around Python repositories, meaning headline performance results may not accurately predict how coding ag ...

Arnica CEO Nir Valtman warns that the real threat from AI-generated code is operational chaos, not cybercrime, urging ...

Most enterprise software delivery models were designed for a world in which code production was expensive and human effort was the scarce resource.

Overview: Real-world Python projects build stronger practical development skills than theory alone.AI, cloud development, and ...

As development velocity increases, organizations cannot rely on manual compliance processes designed for a slower era.

Loop engineering, a new phrase circulating among AI developers, is becoming a way to describe how software teams are trying to get more value from coding agents: not by writing better one-off prompts, ...

AI has made it significantly easier and cheaper to build software internally, which is causing many executives to rethink SaaS subscriptions through a narrow cost-cutting lens.

New research reveals developers are rapidly adopting AI agents, creating new challenges around coordination, control, ...

Appsfactory breaks the Scrum monopoly, launching the AI Development Lifecycle for the era of AI agents and AI agent ...

Structured specifications help AI coding agents build what engineers actually need by capturing intent before code generation ...

By focusing on evidence and small reversible changes, loop engineering could curb costly AI coding mistakes before they reach ...

When AI-assisted vulnerability discovery makes it dramatically easier to identify weaknesses hidden inside modern dependency ...