Mentioned in 12 AI use cases across 2 industries
This is like giving your existing code to a very smart assistant and asking it to write the unit tests for you. The large language model reads the code, guesses what it should do, and then writes test cases to check that behavior automatically.
Think of AI code assistants as a smart co‑pilot sitting next to every developer: they read what you’re typing, suggest the next few lines or whole functions, explain confusing code, and help spot bugs — much like autocomplete on steroids for programming.
This is like an AI pair-programmer built directly into Visual Studio Code. As you type, it suggests whole lines or blocks of code, helps write tests, explains code, and can transform comments or natural language into working code snippets.
Think of AI code assistants as smart copilots for programmers. As you type, they guess what you’re trying to build and suggest code, explain errors, write tests, and help you understand unfamiliar code — like an always‑available senior engineer sitting next to every developer.
This is like giving your software developers a smart robot pair‑programmer that lives inside VS Code. You tell it what you want built or changed, and it can read your code, plan the work, and automatically edit files, run commands, and iterate with you inside the IDE.
Think of this as a smart co-pilot for programmers: it reads what you’re writing and the surrounding code, then suggests code, tests, and fixes—similar to autocorrect and autocomplete, but for entire software features.
This is like giving every software developer a smart pair-programmer that lives inside VS Code: it reads the code you’re writing, suggests the next lines, helps refactor, and explains unfamiliar code or errors in plain language.
Think of this as building ‘co-pilot’ assistants for programmers that can read and write code, help with designs, find bugs, and keep big software projects on track—like giving every developer a smart, tireless junior engineer who has read all your code and documentation.
This is like having an AI pair‑programmer built into Visual Studio Code. As you type code or comments, it suggests whole lines or functions, helps you write boilerplate faster, and answers coding questions inside your editor.
This is like giving Visual Studio Code a smart assistant that can read your code and automatically add helpful comments or explanations, similar to how a senior engineer would annotate code for a junior developer.
This is like having Google’s Gemini AI sitting inside your code editor, suggesting code, explaining errors, and helping you write and fix software faster as you type.
This is a guide to turning Visual Studio Code into a smart co‑pilot for programmers by plugging in AI helpers that can suggest code, explain errors, and speed up everyday development tasks.