With zero coding skills, and in a disturbingly short time, I was able to assemble camera feeds from around the world into a ...

GitHub’s Octoverse 2025 report reveals a "convenience loop" where AI coding assistants drive language choice. TypeScript’s 66% surge to the #1 spot highlights a shift toward static typing, as types ...

Azul, the trusted leader in enterprise Java for today’s AI and cloud-first world, today warned enterprises of a growing Java application modernization crisis driven by technical debt and converging ...

Abstract: The quality of modern software relies heavily on the effective use of static code analysis tools. To improve their usefulness, these tools should be evaluated using a framework that ...

Anthropic's open source standard, the Model Context Protocol (MCP), released in late 2024, allows users to connect AI models and the agents atop them to external tools in a structured, reliable format ...

Writing clean, bug-free code is a point of pride for any developer. For decades, tools that measure code quality have been a staple of the software development lifecycle, helping teams eliminate bugs, ...

Big news: We’re expanding Opal, our no-code AI app builder, to 160+ countries! From automating complex research to generating full marketing campaigns from one idea, builders are turning their ideas ...

Code agents are AI systems that can generate high-quality code and work smoothly with code interpreters. These capabilities help streamline complex software development workflows, which has led to ...

An aardvark works in an office typing at a desktop PC while happy human workers mill about in the background. Credit: VentureBeat made with ChatGPT Positioned as a scalable defense tool for modern ...

This engineering experience paper details the application of design, development, and performance testing to an automated program repair tool we built that repairs C/C++ code. Static analysis (SA) ...

ABSTRACT: Security vulnerabilities are a widespread and costly aspect of software engineering. Although tools exist to detect these vulnerabilities, non-machine learning techniques are often rigid and ...