Look to these tools to improve your AI coding practices and the quality, security, and reliability of your AI-generated code.

Learn how to evaluate AI code quality platforms using enterprise criteria including scalability, predictive insights, and business impact.

If you're on the software developer side of the internet, you've probably heard the term "vibe coding" recently. Andrej Karpathy coined this phrase to reference a style of coding where artificial ...

LLVM powers the core development tools, operating systems, and most applications at Apple Computer, where it long ago ...

Shreyansh Sharma built high-performance financial data pipelines, improving accuracy, speed, scalability, and reliability for ...

Architecture reviews often only consider the structure of the software. However, it is much more efficient and effective to ...

AI-native development is changing how engineering teams create value. Here's why traditional productivity frameworks are no ...

Part of the SD Times 100 2026 series. See the full SD Times 100 2026 list for every category and honoree. For most of ...

The release includes an embedded MCP server that exposes Spring project analytics to AI coding assistants, along with first-class support for Spring AI and automated property refactoring.

The tool that makes your testing easier might be the same one cutting you off from the team that builds the product.

When code is generated faster, quality, security and maintenance issues can also move through the pipeline more quickly, so ...

Attackers can inject indirect prompts in normal-looking repositories to trick Claude Code into spawning a reverse shell.