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Table of Contents
Introduction
If you code in Visual Studio, you want help with real work. Not a tool that looks good in a demo.
AI can save you time on:
- writing unit tests
- fixing bugs faster
- doing safe refactors
- writing docs
- reviewing code changes
This guide covers the best AI tools for Visual Studio (the Windows IDE). It is not for VS Code. Some tools share names across both, but setup and features differ.
Quick answer
If you want the shortest path to a strong setup, start with GitHub Copilot and Visual Studio IntelliCode. Copilot helps with code and chat. IntelliCode improves everyday suggestions with low effort.
If you cannot use Copilot, pick one alternative like Windsurf Plugin (formerly Codeium) or Tabnine. Do not install three assistants at once. It gets noisy and hard to trust.
Quick picks (60 seconds)
Best all-around: GitHub Copilot
Copilot is the best default for most devs because it covers coding, tests, and chat help in one place.
Best built-in boost: IntelliCode
IntelliCode is not a chat tool. It improves suggestions while you type. It often comes with Visual Studio, so it is easy to try.
Best Copilot alternative in Visual Studio: Windsurf Plugin
A common option for code suggestions inside Visual Studio. The listing notes Visual Studio 2022 17.5.5+ and also says IntelliCode must be enabled.
Best for teams that want a known vendor option: Tabnine
Tabnine is widely used for completion and team setups. Its listing notes support for Visual Studio 17.4+.
Best “chat actions” extension inside Visual Studio: Visual chatGPT Studio
This adds a chat-style panel and task flows inside the IDE.
If you want extra tools to compare, you may also see TONGYI Lingma 2022 and Fitten Code mentioned in Visual Studio tool roundups. They can be worth testing if they fit your setup and rules.
What “best” means in this guide
“Best” is not about a long feature list. It is about saving time without creating new problems.
A tool is worth using when it does most of these well:
- It produces code that builds and matches your patterns.
- It handles enough context to be useful.
- Setup is simple and stable.
- It helps on more than autocomplete, like tests and bug fixes.
- It fits your team’s security rules.
- The time saved is worth the cost and risk.
Keep this mindset. It stops you from chasing tools that add noise.
IntelliCode vs Copilot: what’s the difference?
Many people mix up IntelliSense, IntelliCode, and Copilot. Here is the simple view.
IntelliCode improves suggestions inside Visual Studio. It is meant to help you type faster by ranking and completing common patterns. It fits into your normal coding flow.
Copilot is broader. It can draft code from intent and answer questions in chat. It helps most with tests, refactors, bug fix plans, and new code scaffolds.
A clean rule: IntelliCode helps you type. Copilot helps you draft and reason. Most devs can run both because they do different jobs.
Before you install anything: version checks and basic setup
A lot of frustration comes from one issue: the tool does not show up in the IDE, or it refuses to run.
Start by checking your Visual Studio version. Many extensions require Visual Studio 2022 and a minimum build.
Two examples that matter:
- Windsurf Plugin notes Visual Studio 2022 17.5.5+ and says IntelliCode must be enabled.
- Tabnine notes Visual Studio 17.4+.
A setup checklist that avoids common issues
First, enable IntelliCode and confirm it works. It is low friction and easy to keep.
Next, install your main assistant:
- GitHub Copilot if you want code plus chat in one tool.
- Windsurf Plugin or Tabnine if you need an alternative.
Then test on a small loop before you trust it:
- write or pick one short method
- ask the tool for unit tests
- run tests
- do a small refactor
- run tests again
If it cannot handle that loop, it will not help much in day-to-day work.
Quick troubleshooting
If the tool does not appear:
- Confirm Visual Studio version and extension requirements.
- Restart Visual Studio after install.
- Make sure you are signed in with the correct account (if the tool needs sign-in).
- Disable overlapping assistants to reduce conflicts.
If Visual Studio gets slow:
- Remove extra extensions.
- Avoid running multiple assistants at once.
- Keep prompts small and focused.
Best AI tools in Visual Studio by role
Your best setup depends on what you do most. Pick one main tool and use it for a week. If you install three assistants at once, you will not know which one helped, and your editor will get noisy.
C# and .NET developers
If you build APIs, services, desktop apps, or web apps in C#, you want a tool that can draft code, write tests, and help you debug.
Start with GitHub Copilot. It fits most .NET work because it helps with new code, unit tests, and “explain this error” questions in chat. Keep Visual Studio IntelliCode on as well. IntelliCode improves day-to-day suggestions while you type and costs you almost nothing in effort.
If you cannot use Copilot, try one alternative completion tool like Windsurf Plugin (formerly Codeium) or Tabnine. Pick one, not both.
C++ developers
C++ projects can be harder for assistants because builds are complex and context is spread across many files. Start with small, testable tasks.
Use GitHub Copilot for short edits, code explanations, and safe refactors you can verify quickly. Keep Visual Studio IntelliCode on if it helps your IntelliSense suggestions.
If you want an alternative assistant for suggestions, test Tabnine on your real codebase. Judge it by build success and how often it guesses wrong. Avoid big “rewrite this module” prompts until you trust the tool on small changes.
Students and beginners
AI can help you learn, but only if you ask for reasons and tests, not just code.
Start with Visual Studio IntelliCode since it improves suggestions without changing your workflow. If you use a chat tool, use GitHub Copilot and ask it to explain choices, list edge cases, and write tests.
If you do not have access to Copilot, a simple option is Chat GPT Extension for quick questions in a side panel. Use it for explanations and small snippets. Do not paste secrets or large private files.
Tech leads and reviewers
If you spend time reviewing PRs, your biggest wins come from faster summaries and better risk spotting.
Use GitHub Copilot chat to summarize changes, list likely risk areas, and suggest missing tests. Pair it with a consistent review prompt so the output is structured and repeatable.
If you want a Visual Studio extension that leans into “review this change set” workflows, test Visual chatGPT Studio. Keep the output tight and always verify anything that touches auth, data access, and error handling.
Enterprise and regulated teams
If your org has strict policy, the best tool is the one you can use without breaking rules.
Start with Visual Studio IntelliCode because it is built into the IDE and low risk. If your org approves it, add GitHub Copilot as your main assistant.
If your org prefers a vendor with a clear enterprise posture, look at Tabnine. Keep your extension list short. Use allowlists. Avoid unknown AI extensions.
Best AI tools by task
Most people choose tools based on pain. Use this section to match the tool to the work you do most.
Unit tests (xUnit, NUnit, MSTest)
The goal is not “generate tests.” The goal is “tests that compile, follow your stack, and cover edge cases.”
GitHub Copilot is usually the best first tool for tests because it can draft test cases fast when you give it clear rules. It works best when you specify your framework, naming, and the edge cases you care about.
Tools like Visual chatGPT Studio can also work well if you like a chat-driven workflow inside Visual Studio and you want help drafting tests and comments in one place.
Debugging (stack traces to fixes)
Debugging is where chat tools can save a lot of time. A good assistant should:
- explain the stack trace in plain terms
- list likely causes
- ask what it needs to confirm the root cause
- propose a small fix
- suggest a regression test
This is also where AI can mislead you. Do not let it guess. Ask for a cause list and a proof plan before it writes code.
Refactoring (safe and steady)
Refactors fail when changes come in one big chunk. The best flow is:
- plan the refactor
- apply one small step
- run tests
- repeat
IntelliCode helps with small edits and keeps typing smooth. Copilot helps with the refactor plan and the code drafts, as long as you force it to work step by step.
Code review (faster PR checks)
AI is not a replacement for review. It is useful for:
- summarizing what changed
- spotting missing tests
- calling out risk areas
- drafting review comments you can paste into a PR
Copilot chat-style prompts are strong for this. Visual chatGPT Studio can also be useful if it fits your change-review flow.
Documentation (XML docs and README)
Docs are a safe use case if you keep the tool honest. The main risk is fake claims. A simple rule works well: “only describe what the code does, and do not invent setup steps.”
Tool deep-dives (only the ones worth your time)
This section goes deeper than quick picks. Each tool below includes what it is best at, what to watch out for, and who should skip it.
1) GitHub Copilot (Completions + Chat)
Tool link: GitHub Copilot
Copilot is the strongest all-around choice for Visual Studio if you want both code help and chat help. It shines when you ask for a plan first, then ask for changes in small steps. It is also one of the better tools for unit test drafts if you specify your test framework and naming rules.
Setup is usually straightforward: install the extension, sign in, then test it on a small method before you use it on a large project. If chat features are missing, check your Visual Studio version and your account policy.
Watch out for invented APIs and “confident wrong” code. Copilot can produce code that looks right but does not match your project conventions or actual behavior. Keep prompts specific. Run tests. Review every change.
Who should skip it: teams that cannot send code to cloud services, or teams that cannot get approval to use it.
2) Visual Studio IntelliCode
Tool link: Visual Studio IntelliCode
IntelliCode is a built-in boost. It improves suggestions while you type and stays inside the normal Visual Studio flow. It is not a chat assistant and it will not draft whole features for you. It still saves time because many coding minutes are spent on small, repetitive edits.
Turn it on, use it for a week, and then decide. IntelliCode works best when you already know what you want to write and you want fewer keystrokes to get there.
Watch out for expecting too much. If you want help writing tests or planning refactors, IntelliCode alone will feel limited.
Who should skip it: almost nobody. It is low friction and low risk.
3) Visual chatGPT Studio
Tool link: Visual chatGPT Studio
Visual chatGPT Studio is a Visual Studio extension that brings chat-style help into the IDE. People use it when they want a chat panel with a more “tool-like” feel, and when they want workflows that fit inside Visual Studio rather than switching to a browser.
It can be useful for drafting tests, generating comments, and reviewing changes when you paste or point it at the right context. It is most helpful when you already have a clear task, like “write tests for this method” or “review this diff and list risks.”
Watch out for context limits. Many chat extensions do not truly understand your whole solution unless you provide the right files or summaries. Treat it like a smart assistant that still needs you to provide guardrails.
Who should skip it: anyone who already gets everything they need from Copilot chat and wants fewer extensions.
4) Windsurf Plugin (formerly Codeium)
Tool link: Windsurf Plugin (formerly Codeium)
Windsurf is a popular Copilot alternative for code completion in Visual Studio. It is a good fit if you want fast suggestions and you prefer to compare options before settling on one main assistant. The listing also calls out requirements, including Visual Studio 2022 17.5.5+ and IntelliCode enabled, which is useful for avoiding install surprises.
It works best for everyday coding, small refactors, and quick edits. If your main pain is typing and boilerplate, it can help.
Watch out for quality swings across languages and project styles. Test it on your real codebase, not a toy project.
Who should skip it: anyone already happy with Copilot completions who does not want overlapping suggestions.
5) Tabnine
Tool link: Tabnine
Tabnine is another well-known completion tool for Visual Studio. It can be a good fit for teams that want a vendor option with enterprise focus and clear install notes. Its listing calls out Visual Studio support (VS 17.4+), which helps with compatibility planning.
Tabnine works best when you want strong autocomplete and you want to standardize one tool across a team. It is not only about speed. It is also about having a consistent setup that people can trust.
Watch out for treating it like a full coding partner. Autocomplete is great, but you will still want a chat tool or strong prompts when you are writing tests, debugging, or doing larger refactors.
Who should skip it: solo devs who already have a working setup and do not want to change tools.
6) TONGYI Lingma 2022
Tool link: TONGYI Lingma 2022
TONGYI Lingma is one of the non-Copilot tools that shows up in Visual Studio tool roundups. It can be worth testing if it matches your region, your org rules, and your preferred vendor stack.
Use it as a compare tool. Run the same tasks you run with your main assistant: unit tests, a small refactor, and a bug fix. Keep the scope tight so you can judge output quality.
Watch out for policy fit. Any tool that needs sign-in and sends code out of your machine needs to match your team rules.
Who should skip it: teams with strict vendor limits, or teams that already have a stable approved tool.
7) Fitten Code
Tool link: Fitten Code
Fitten Code is another tool that appears in “top extensions” style lists for Visual Studio. It is best treated as a compare option. If your goal is to find a non-Copilot assistant that still feels good for everyday coding, it is worth a quick test.
Use it on the tasks that matter most to you, like completing boilerplate, drafting small methods, and writing basic tests. Keep score: how often did you accept suggestions, and how often did you delete them?
Watch out for thin context. If the tool mainly works on the current file, it may struggle with bigger tasks unless you feed it more details.
Who should skip it: anyone who wants fewer moving parts and already has a main assistant that works.
8) Chat GPT Extension (dliedke)
Tool link: Chat GPT Extension
This extension is useful when you want a simple chat panel inside Visual Studio, often with minimal setup compared to deeper IDE integrations. It is a good fit for quick questions, short code snippets, and explanations while you stay in the IDE.
Treat it like a helper, not a full solution-aware assistant. It may not “know” your project unless you paste the relevant code or summarize the context.
Watch out for what you paste. Keep private code, secrets, and config out of chat unless your org allows it and you understand the tool’s data handling.
Who should skip it: developers who already have Copilot chat and prefer fewer extensions.
A simple 2-hour benchmark you can run
If you want to choose between tools, test them the same way. You do not need a lab. You need repeatable tasks.
Pick one small solution and run four tasks with each tool:
- Write unit tests for one method with edge cases
- Refactor one class without changing public APIs
- Fix a real exception and add a regression test
- Write XML docs for one public method and a README section
Score each tool on:
- Did the output compile?
- How much did you have to change?
- Did it invent APIs or behavior?
- Did it ask for missing context?
- Did it help you move faster without breaking things?
Write down notes as you go. Those notes are what make tool picks feel real.
Prompt pack (copy and paste)
These prompts reduce bad output because they force rules.
Unit tests
Write unit tests for this C# method using xUnit.
Rules: Do not change the method. Cover at least 8 cases, include null, empty, and boundary values. Use Arrange-Act-Assert. If behavior is unclear, ask questions first.
Safe refactor
Refactor this class in small steps.
Rules: Do not change public method names, params, or return types. No new NuGet packages. Keep async methods async. Keep behavior the same. First list the plan. Then show step 1 only.
Debug
Help me debug this exception.
List the top 3 likely causes from the stack trace. Give steps to prove the real cause. Propose the smallest fix. Add a regression test.
Docs
Write XML docs for this public method. Keep it short. Mention exceptions only if the code throws them.
Then write a README section called “How to run tests” and only include commands that match this repo.
Code review
Review this diff.
Output: (1) summary in 3 bullets, (2) risk list, (3) missing tests, (4) review comments I can paste into the PR. Point to exact files and methods.
Safety: do not install random AI extensions
AI extensions can help. They can also create risk if the publisher or data rules are unclear.
Before you install any AI extension, check:
- publisher identity and track record
- update history
- data handling rules
- what the tool can access
- what your org allows
Keep one simple habit: never paste secrets into chat.
FAQ
Is IntelliCode a replacement for Copilot?
No. IntelliCode improves suggestions while you type. Copilot covers broader tasks like drafting tests and chat help.
Do I need a newer Visual Studio build?
Often yes. Windsurf notes Visual Studio 2022 17.5.5+ and requires IntelliCode enabled. Tabnine notes Visual Studio 17.4+.
Can I use AI tools offline?
Most tools need cloud access. If your org needs strict limits, use tools that match your policy and ask vendors how data is handled.
Are Visual Studio Marketplace AI extensions safe?
Some are safe. Some are not. Vet the publisher and follow your org policy.
