Using an AI coding assistant to migrate an application from one programming language to another wasn’t as easy as it looked. Here are three takeaways.

Alarm bells are ringing in the open source community, but commercial licensing is also at risk Earlier this week, Dan Blanchard, maintainer of a Python character encoding detection library called ...

Using Anthropic and OpenAI's AI systems — and a detailed playbook prompt — cyberattackers gained access to Mexico's agencies ...

In 2025, something unexpected happened. The programming language most notorious for its difficulty became the go-to choice ...

Learn how to hire a skilled Fiverr crypto trading bot developer with this complete guide, including step-by-step processes, cost breakdowns ...

Investors wiped $40 billion from IBM's market cap after Anthropic released COBOL translation tools. Analysts say the market ...

Hillman highlights Teradata’s interoperability with AWS, Python-in-SQL, minimal data movement, open table formats, feature ...

Code Metal hit a $1.25B valuation after a $125M round, using AI to translate and verify legacy code for defense and other regulated systems.

Using AI to find security vulnerabilities holds significant promise, but the initial products fall short of businesses' and software developers' needs.

Living human neurons were trained to play Doom, extending the long-running engineering benchmark into biological computing.

Two days to a working application. Three minutes to a live hotfix. Fifty thousand lines of code with comprehensive tests.

Are AGENTS.md files actually helping your AI coding agents, or are they making them stupider? We dive into new research from ETH Zurich, real-world experiments, and security risks to find the truth ...