Microsoft's Debug-Gym is a Python-driven framework aimed at assessing capabilities of AI agents in handling practical code-repair challenges.

Lightrun’s breakthrough has been to build an observability toolset that can monitor code just as it is in the IDE and understand how it will behave alongside code that is actively in production.

When a critical plugin failed, I used ChatGPT to fix it, restoring site security quickly, without touching a line of old code. Here's how.

FileMerge was originally created as a tool for developers to compare and merge source files, but it will work just fine on most plain text (.txt) files as well. The original FileMerge app in NeXTStep.

Related: ChatGPT will then generate a code snippet based on the input prompt, and the output will be coherent and functional code that one can use as a reference or starting point for their project.

VS Code's AI integration tempted me away from PhpStorm, but getting it set up broke everything. Here's how I fixed it, what I learned, and which AI tools are now available because of the switch.

Developers must stop saving secrets in code. One way to avoid that is to use HashiCorp's Vault. Jack Wallen shows you how to install this tool and take your first steps in its usage.

To generate codes using Copilot, you must describe the code behavior you want using natural language in the chatbox. For example, code for form validation or Ajax calls using the Power Pages Web API.

Could AI replace software developers, or will it will serve as a vital tool that complements and enhances their capabilities?