Free AI coding assistants in India for students who are learning to code

Published · Updated · 20 min read

If you are learning to code in India, an AI coding assistant can feel like a senior sitting next to you. It can finish a line, explain an error, and show you a pattern you have not seen before. It can also do the opposite: it can write your whole assignment while you learn nothing, and then fail you in a viva when you cannot explain your own code.

The short answer is this: start with GitHub Copilot Free, and if you are a verified student, get GitHub Copilot Student, which is free and gives unlimited code completions. For a full AI editor without student verification, try Windsurf, now called Devin Desktop, whose free plan gives unlimited Tab completions and inline edits. Everything else is useful for a specific job, not for daily learning. Do not pay in month one, and do not submit AI code you cannot explain line by line.

This article is written for India on purpose: students in colleges and self-learners, VS Code on a normal laptop, Hindi and English explanations, and no assumption that you have a paid plan, a powerful machine, or a US college email. It also carries a warning that matters more for coding than for images or video: your college, your employer, and your own learning all have rules about AI code. Check your course rules before you use AI for an assignment, and always test AI code yourself. AI code that looks correct can still be wrong, insecure, or copied from a pattern that does not fit your problem.

The short answer, in one table

Tool Best for Free limit to watch
GitHub Copilot Free Daily coding in VS Code 2,000 completions a month, limited chat and agent credits, auto model only, no card
GitHub Copilot Student Verified students Unlimited completions, AI credits allowance, limited chat and agent use, auto model only
Windsurf / Devin Desktop Full AI editor, no verification Unlimited Tab completions and inline edits, light daily and weekly agent quota, size not published
Cursor Free Multi-file projects Limited Agent, Chat, and Tab use on Cursor models, no numbers published
Google Jules Small agent tasks 15 tasks a day in the October 2026 checks
Kiro Agent coding with a plan 50 credits a month on free in the checks, student offer only at listed schools
Bolt / Lovable Building a web app from a prompt Bolt 300,000 tokens a day, Lovable 5 credits a day in the checks
Claude Code Professional agent coding Not free, needs Pro or API credits
Gemini Code Assist Was free, now ended Free tier stopped June 18, 2026, Google points to Antigravity with a weekly quota

If you read nothing else, remember three rules. First, completions and chat credits are different. Copilot Free gives 2,000 completions a month, but chat and agent mode use a separate AI credits allowance that GitHub does not publish as a single number for free. Second, student offers are verification offers, not email offers. Copilot Student is free for verified students, not for anyone who types a college name. Third, a tool that was free last year may not be free today. Gemini Code Assist free ended in June 2026, Amazon Q Developer closed to new users in May 2026, and Cursor’s student discount closed to new sign-ups in June 2026. Old tutorials will still tell you to try them for free. Check the current plan page first.

How this list was checked

The limits below were cross-checked in November 2026 through Exa research against GitHub’s own Copilot docs and plans pages and against October 2026 roundups that re-read those pages. GitHub’s docs are the strongest source here, because they state the 2,000 completions limit, the auto model rule, and the credit system in plain words. For tools that do not publish a number, this article says so instead of inventing one. Cursor free, Windsurf agent quota, and Jules-style agent limits are good examples: some numbers are published, some are deliberately vague, and a vague quota means you must check the counter inside the app before you plan a project around it.

One disagreement to note is about Windsurf’s price in older articles. Some older guides list Windsurf Pro at 15 dollars a month. Newer October 2026 checks list Devin Desktop Pro at 20 dollars a month, after Windsurf was renamed Devin Desktop on June 2, 2026, with the same prices as before the rename. If you search for Windsurf today, you will find Devin Desktop. That is the same product under a new name, not a different tool to sign up for separately.

GitHub Copilot Free and Student: the starting point for most students

Copilot Free is the most practical starting point, because it works in VS Code, JetBrains, Neovim, and on GitHub itself, it needs no card, and its limit is published. You get 2,000 code completions a month, plus a limited allowance of GitHub AI Credits for chat and agent mode. Completions and next-edit suggestions do not use credits. Chat and agent work does. Models on free are picked for you through auto model selection only, which means you cannot choose a premium model on free. The allowance resets on the first day of each calendar month, and unused credits are forfeited.

Copilot Student is the same idea without the completions cap. Verified students get unlimited code completions, plus an allowance of GitHub AI Credits, with limited chat and agent use and auto model selection only, according to GitHub Education. Pro is listed at 10 dollars a month, with a base of 1,000 credits plus a 500 flex allotment, for a total of 1,500 monthly AI credits in the current docs, and it is free for verified teachers and maintainers of popular open source projects. New Pro trials are paused in the October 2026 checks, so do not plan around a trial that may not be offered to you.

Getting Copilot Student in India means verification through GitHub Education, usually through the GitHub Student Developer Pack. Guides often say verification takes one to three days, but the official time varies by document and school. You will need proof that you are a student, not just a college name typed into a form. If your college does not have a standard student email system, check GitHub Education’s document options before you assume you cannot apply. Do not borrow someone else’s student account, and do not buy a student verification. That violates GitHub’s terms and can get the account closed, along with your code history.

Privacy on Copilot Free deserves a plain note. GitHub may use what you do on free to train its models unless you opt out in your settings, according to the October 2026 roundup. If you are working on private, commercial, or sensitive code, check that setting before you paste code into Copilot, and do not paste passwords, API keys, or private customer data into any AI coding tool. Use environment variables and secret managers for keys, and revoke any key you accidentally pasted.

Windsurf, now Devin Desktop: unlimited Tab, limited agents

Windsurf was renamed Devin Desktop on June 2, 2026, and its prices did not change in the checks. Its free plan includes unlimited Tab completions and unlimited inline edits, plus a light quota for coding with agents that resets daily and weekly, but whose size is not published. Model availability is limited on free, and Pro is listed at 20 dollars a month as Devin’s entry-level individual plan.

For a student who does not have student verification yet, Windsurf free is often the best full-editor option, because Tab completions are the feature you use most while learning: finishing a line, suggesting a loop, or completing a function signature. Agent mode, which can edit multiple files and run tasks for you, is more limited on free, and that limitation is actually helpful for learning. If an agent writes a whole project for you, you learn less than if you write it line by line with Tab suggestions. Use agents for small, well-defined tasks, like refactoring one function or writing tests for code you already understand, not for generating an entire assignment from a single prompt.

Windsurf is a VS Code fork, so if you already use VS Code, the editor will feel familiar. Its Cascade feature handles multi-file edits, which is useful when you rename a function or change a data structure across several files. For typical student work, assignments, mini-projects, and learning exercises, Windsurf free is more than enough. For complex agent tasks, Cursor or Copilot Pro may be smoother, but that is a reason to consider paying later, not a reason to pay on day one.

Cursor, Codeium, and other editors: what free actually means

Cursor has a free plan, but no trial on its pages in the October 2026 checks. The free plan gives limited Agent, Chat, and Tab use on Cursor’s own models, with no numbers published. Cursor is now sold inside a subscription structure where Plus is listed at 8 dollars a month, and models like Claude or GPT need Premium at 30 dollars a month in the checks. Its student discount closed to new sign-ups on June 25, 2026. That means a student who reads an old article promising a Cursor student discount will be disappointed today. Cursor free is still worth testing for multi-file projects, because its editor is polished and its agent handles context well, but do not plan a semester around an unpublished free allowance.

Codeium, which was the original name behind Windsurf’s editor technology, is described in older guides as free forever for individuals as an extension in VS Code, JetBrains, Neovim, and other editors, with completions, chat, and codebase search. That older description should be checked against the current Devin Desktop pages, because the product and branding have changed. The safe rule is: if you want Codeium-style completions today, start with Devin Desktop free, and check its current free page, rather than relying on an old Codeium article.

Claude Code is not free, and that fact saves time. Anthropic says the free Claude plan does not include Claude Code. You need Pro, listed at 17 dollars a month billed yearly or 20 dollars monthly, a higher plan, or pay-as-you-go API credits. Claude Code is powerful for professional agent coding, but it is not a student starter tool. Learn with Copilot or Windsurf first, and consider Claude Code only when you have paid work that needs its agent strength.

Jules, Kiro, Bolt, and Lovable: agents and app builders, not daily editors

Jules, Kiro, Bolt, and Lovable are not daily code editors. They are agent and app-building tools, and their free allowances are designed for small tasks, not for a full semester of coding.

Jules gives 15 tasks a day in the October 2026 checks, which is generous for small, well-defined agent tasks, like fixing a bug in a repository or adding a small feature. Kiro gives 50 credits a month on free in the checks, with a student offer of 1,000 credits a month for a year only at schools on its list. Bolt gives 300,000 tokens a day, up to 1 million a month, for building web apps from a prompt. Lovable gives 5 credits a day. Those numbers sound large until you realise that building a whole app from a prompt uses tokens fast, and a single complex app can consume a day’s allowance in one session.

Use these tools for what they are good at: prototyping an idea quickly, learning how an app is structured, or fixing a small task in a repository you already understand. Do not use them to generate an entire assignment and submit it without reading it. An app builder will give you code that works for a demo and fails for edge cases, security, and maintainability, and a teacher who asks you to explain that code in a viva will spot the gap immediately. The learning value of Bolt and Lovable is in seeing a working structure, then rebuilding the important parts yourself with understanding.

Google’s Antigravity is worth a note because it replaces Gemini Code Assist free, which stopped on June 18, 2026. Antigravity is free with a weekly quota in the checks, and Google AI Pro, which raises its limits, is free for a year only for US college students and needs a card. Indian students should not assume that US-only student offer applies to them. Check Antigravity’s current weekly quota in the app, and do not plan around a US-only Pro offer.

Learning honestly with AI: the method that actually works

AI coding assistants help learning only when you use them in a specific way. Read every suggestion before you accept it. If you cannot explain what a suggested line does, do not accept it yet. Ask the chat feature to explain the code in simple words, then rewrite the explanation in your own words without looking at it. That rewrite is where learning happens.

A practical method for assignments is: try the problem yourself for 20 minutes first, then ask the assistant for a hint, not for the full solution. Use the hint to write the next ten lines yourself. When the code works, delete it and write it again from memory, with the assistant closed. If you cannot rewrite it, you have not learned it yet, and that is useful information, not a failure. Repeat the rewrite until you can explain each function, each loop, and each edge case.

Testing is part of learning, not an extra step. Run AI code with normal inputs, with empty inputs, with very large inputs, and with wrong inputs. Check what happens when a file does not exist, when a user types text instead of a number, or when a network request fails. AI code often handles the happy path well and fails on edge cases, and finding those failures yourself is exactly the skill employers pay for. Also check for security mistakes: hardcoded passwords, SQL injection, missing input validation, and unsafe file handling are common in AI-generated code, and a teacher or employer will check for them.

Academic integrity is not a vague warning here. Many colleges allow AI for learning and for debugging, but forbid submitting AI-generated code as your own work without disclosure. Some courses require you to declare AI use, some forbid it for certain assignments, and some allow it only for specific parts. Read your course rules, ask your teacher if the rule is unclear, and keep a note of what you wrote yourself and what AI suggested. That note protects you if your work is questioned later, and it also helps you study for vivas, because you will know which parts you truly understand.

Using AI coding tools in India: laptop, internet, and language

AI coding assistants need internet, and that matters on a normal Indian connection. Completions are small and fast, but agent mode, which reads many files and runs tasks, uses more data and time. On a low-end laptop, VS Code with Copilot or Windsurf is realistic, because the heavy AI work runs on the vendor’s servers, not on your machine. A full local AI model, which runs on your computer without internet, needs a powerful machine and a large download, and is not the right starting point for most students.

Language in coding is English for code itself, but explanations can be in Hindi, Hinglish, or English, depending on what helps you learn. Ask Copilot Chat to explain code in Hindi if that helps you understand it faster, then write your own summary in English, because code comments, documentation, and job interviews in India usually use English technical terms. Learning in Hindi first and then translating the explanation into English technical terms is a legitimate method, not a shortcut, as long as you do the translation yourself and understand both versions.

Data and privacy for coding deserve a plain rule: never paste secrets into an AI tool. Use a .env file for API keys, add it to .gitignore, and never commit it to GitHub, even in a private repository that you later make public. If you accidentally paste a key into Copilot Chat or any AI tool, revoke that key immediately and create a new one. A key that was pasted cannot be un-pasted by deleting the chat. The same rule applies to private company code, customer data, and unpublished project ideas: do not paste them into a free AI tool without checking its privacy and training settings first.

Three workflows that actually work

A beginner workflow is the simplest. Install VS Code, install Copilot Free or Windsurf free, and work on small programs: loops, functions, file handling, and simple data structures. Use Tab completions to learn patterns, use chat to explain errors, and rewrite every solution from memory once it works. Do not install five AI tools in week one. Learn one tool’s limits, save three prompts that help you debug, and reuse them.

A college project workflow needs a little more discipline. Start with a plan written by you: what the project does, what files it has, and what each function does. Use AI to implement one function at a time, test each function before moving to the next, and commit your code to Git after each working step. If an agent suggests a whole project structure, read it, keep the parts you understand, and rewrite the parts you do not. Commit messages should describe what you changed and why, not just “AI did it”. That habit will help you in internships, where code review expects you to explain every change.

A freelancer or intern workflow is built around review. Use AI to draft code faster, but review every line as if a senior developer will ask you about it tomorrow, because they will. Run tests, check edge cases, remove hardcoded secrets, and write a short note for the client or team explaining what the code does and what you tested. If free credits run out mid-project, tell the client early and either split the work across two days or agree on a paid upgrade for that project. A client respects an early warning far more than a late delivery with untested AI code.

In all three workflows, the rule for paying is the same. Do not pay in month one. Use the free tier for two weeks, write down where it actually stops you, and pay only for the one limit that stops you repeatedly. If Copilot Free’s 2,000 completions run out every month, that is a reason to get Student verification or consider Pro. If Windsurf’s agent quota is the problem, that is a reason to pay for Pro or to use agents less and write more yourself. If you never hit a limit, you do not need to pay yet.

What to avoid

Do not submit AI code you cannot explain. Do not copy AI code into an assignment without checking your course rules. Do not paste passwords, API keys, or private data into any AI tool. Do not trust AI code without running it, especially for security, database, and payment logic. Do not believe an old article that promises a free tier that has ended, especially for Gemini Code Assist, Amazon Q, and Cursor student discounts. Do not sign up for five coding tools at once and forget which one holds your code. Do not pay for a Pro plan because an ad says it is essential. Pay for one tool, for one reason, after free use has proven that reason.

A final trap is using AI for everything, including problems you could solve in ten minutes yourself. If you ask AI for every loop and every function, you will finish assignments faster and learn slower, and that trade will hurt you in exams, vivas, and job interviews, where AI is not sitting next to you. Use AI for hints, explanations, and debugging, and write the core logic yourself as often as you can. That balance is the difference between a student who uses AI well and a student who depends on it.

Frequently asked questions

Can I use these tools in India without a VPN? Yes, for the major tools in this article. GitHub Copilot, Windsurf, Cursor, Jules, Kiro, Bolt, and Lovable all work in India through a normal browser and editor with a standard account. If a smaller tool does not load, check whether it is down or region-limited before assuming you need a VPN, and do not enter payment details on a site you cannot verify.

Which free tool is best for a beginner? GitHub Copilot Free, because it works in VS Code, its limit is published, and its completions teach patterns line by line. If you cannot get student verification yet, Windsurf free is the best full-editor alternative, because Tab completions are unlimited on free.

Can I use Copilot Student if my college does not give a .edu email? Verification is through GitHub Education, not just through an email domain. Check GitHub Education’s document options for your school, because some colleges can verify with student documents even without a standard email system. Do not borrow another student’s account or buy verification.

Will using AI hurt my learning? It depends on how you use it. If you read, test, and rewrite AI code, it helps learning. If you accept AI code without reading it, it hurts learning, because you will not be able to explain or fix that code later. The test is simple: close the AI tool and rewrite the solution from memory. If you can, you learned it. If you cannot, study that part again.

What should I do when Copilot Free runs out mid-month? Use Windsurf free for Tab completions for the rest of the month, or split your coding across two months for large projects. Do not pay in a panic for the first upgrade button you see. Check whether Student verification, which is free, solves the problem first, because for many students it does.

Should a student pay for Cursor or Claude Code? Not to start, and not for learning. Learn with Copilot or Windsurf first. Consider Cursor or Claude Code only when you have paid work or a complex multi-file project that genuinely needs their agent strength, and then pay for one tool, not both.

The final verdict, and a checklist before you pay

Start free, and start with understanding. Use Copilot Free for daily coding, and get Copilot Student if you are verified, because unlimited completions remove the monthly worry for students. Use Windsurf free when you want a full AI editor without verification, and use its agents sparingly, for small tasks you understand. Try Cursor free for multi-file projects, knowing its free allowance is unpublished. Try Jules, Kiro, Bolt, or Lovable for small agent tasks and prototypes, knowing their free allowances are for testing, not for a full semester. Do not plan around ended offers like Gemini Code Assist free or Cursor student discounts from old articles.

Before you pay for any coding tool, answer these questions in writing. Which exact limit stopped you, and on which date? Did it stop completions, chat credits, agent use, or model choice, because each has a different fix? Did you check student verification first, because for many students that fix is free? Did you check the official pricing page today? Does the paid plan fix that exact limit, or does it only give you more of something you did not need? If you cannot answer those questions, you are not ready to pay yet, and another two weeks on free allowances will give you a clearer answer than any review article can.

Free AI coding assistants in India in 2026 are genuinely useful, but only when you treat them as learning tools with meters, not as assignment machines. Use free tools to learn patterns, to debug faster, and to prove what you actually need. Pay later, for one tool, for one proven reason, and never submit code you cannot explain. That is how a student saves money, learns faster, and stays honest in a viva, an exam, and a job interview.

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