ainews
AI for coding and development
Assistants and frameworks that speed up writing code and shipping applications.
Coding assistants are now standard equipment: completion, explaining unfamiliar code, generating tests, refactoring, and agents that open a pull request on their own. The gap between a prototype and a working feature keeps shrinking.
The useful split is simple: an in-editor assistant for everyday completion, a strong chat model for design questions and gnarly bugs.
Tools
Frequently asked
Which AI coding assistant should I pick?
For day-to-day completion, an assistant that lives in your editor. For hard problems, a strong chat model. Many developers keep both and route by difficulty.
Can I build an app without knowing how to code?
Partly. No-code builders and AI generators handle prototypes and simple products. Anything you have to maintain still needs someone who can read the code.
Is it safe to give AI access to my codebase?
Check the vendor's data policy and never hand an agent destructive permissions by default — read access and a pull request are enough for most work.