AI Tool Series – Episode 69: Accelerating Modern Software Development with Windsurf AI
I will be honest with you. When I first heard about another AI coding tool, I rolled my eyes a little. There is a new one every week. GitHub Copilot, Cursor, Tabnine, ChatGPT in the browser — at some point it feels like you are just hopping between tools and none of them fully deliver on what they promise.
But Windsurf is different, and I want to explain exactly why — not in a marketing way, but in the way I would explain it to a colleague over lunch.
Windsurf is a full coding environment, like VS Code, except it was built from the ground up to have AI deeply embedded into how you actually work. Not as an add-on. Not as a sidebar you open and close. It is the whole thing. And its centerpiece is something called Cascade, which is an AI that understands your entire project and can make changes across multiple files, run commands, explain code, and fix bugs — all while keeping track of what your codebase is actually trying to do.
We had a hands-on session recently where I walked the team through it, and the questions that came up told me people were genuinely curious. So this post is an attempt to give the full picture.
Why should you even care
Here is the honest version of why this matters right now.
Most developers — even experienced ones — spend a surprisingly large chunk of their day not writing code. They are reading old code trying to understand it, jumping to Stack Overflow, pasting snippets into ChatGPT, switching back, trying to figure out why something broke, and then doing it all again. That loop is genuinely exhausting, and it does not require a study to prove it. You already know it from your own workday.
Windsurf collapses a good portion of that loop. You stay in one place. You ask in plain English. You review what it changed. You move on. That is the pitch, and in practice it actually holds up.
There is also a larger signal worth paying attention to. Cognition AI acquired Windsurf — originally built by a company called Codeium — for around 250 million dollars in late 2025. That number does not arise because a tool is marginally better than what already exists. It suggests that people who bet heavily on developer tools believe this is where coding is heading.
That does not mean you should blindly trust it. It means it is worth taking seriously.
What Windsurf actually is, without the jargon
If you use VS Code today, Windsurf will feel immediately familiar. Same layout, same general feel, same keyboard habits. You are not starting from scratch.
The difference is what lives underneath. When you open a project in Windsurf, it indexes your entire codebase. It reads your files, understands how they connect, and builds a kind of mental map of your project. Then when you ask it to do something, it is not guessing in isolation. It knows what that function is connected to, what might break if you change it, and what a reasonable edit looks like given the rest of your code.
The AI at the center of this is called Cascade. Think of Cascade less like autocomplete and more like a junior developer who has already read every file in your repo and is waiting for you to give them a task. You can ask it to optimize a function, add error handling, write tests, explain something confusing, or fix a bug — and it will do the work and then show you exactly what it changed before applying anything.
That last part matters more than it sounds. You always see the diff first. Nothing gets applied without you approving it. This is what separates a tool that is genuinely useful from one that is just fast at creating new problems.
How to actually use it
You go to windsurf.com and download the IDE for your operating system. It is available on Mac, Windows, and Linux. Installation is straightforward. Once you open it, you open a project folder the same way you would in VS Code. Cascade starts indexing in the background. You do not configure anything.
The inline chat — this is the part people love
Select any block of code. Press the inline chat shortcut, which is Ctrl+I on Windows or Cmd+I on Mac. A small prompt box opens right there in your editor. Type what you want in plain English. Something like: explain what this function does, or optimize this, or add error handling for null inputs.
Cascade responds directly in the editor. If it made changes, it shows them highlighted like a code review diff — the kind you see in a pull request. Green for what it added, red for what it removed. You read it, decide if it makes sense, and either accept or reject. That is the whole workflow for most day-to-day tasks.
This is what Maulesh demonstrated during the session, and it is genuinely impressive when you see it in real time. The edit lands exactly where you are working. You do not have to copy-paste from a chat window. You do not have to context-switch.
The VS Code extension — if you are not ready to switch editors
Maybe you are not ready to give up your current VS Code setup. That is fair. Windsurf also offers a free extension that brings Cascade’s abilities into VS Code directly. It is more limited than the full IDE, but it is a good way to get a feel for what the tool can do without committing to anything.
Maulesh specifically called this out as a smart entry point: use the extension for explanations and smaller refactors, and keep your existing paid tools for the complex, multi-file architectural work. That way you are not burning credits from Cursor or Copilot on tasks that a free tool handles just fine.
Saving your AI credits across tools
This came up in the session, and it is practical advice worth repeating. If you are already paying for GitHub Copilot or Cursor or any other AI coding tool, you do not need to abandon them. Use Windsurf’s free tier for the straightforward stuff — code explanation, minor refactors, boilerplate — and save the credits on your paid tools for the things that genuinely need deeper reasoning. It is a simple way to stretch your budget without giving anything up.
Where it compares to other tools
The question that came up during the session was how Windsurf stacks up against Cursor, since a lot of teams are already using that.
The honest answer is they are more similar than different. Both are full IDEs. Both support AI-powered multi-file edits. Both sit at twenty dollars a month for the pro plan and forty dollars per user for teams. The real differences come down to feel and philosophy.
Cursor tends to feel more polished in certain specific workflows and has a slightly larger community of power users who have pushed its edge cases. Windsurf, on the other hand, tends to be more beginner-friendly; its free tier is more generous, and its VS Code extension gives you an on-ramp that Cursor does not offer.
GitHub Copilot, by comparison, is a plugin rather than a full IDE. It is good at line-level and function-level completions, but it does not have the same whole-project awareness that Cascade brings. If your needs are relatively simple, Copilot works fine. If you want the AI to understand and act across your whole codebase, Windsurf or Cursor are the better choices.
The things it cannot do, and where people go wrong
Every tool has real limits and I would rather be upfront about them than leave you to discover them in a frustrating moment.
First and most importantly: Windsurf still requires you to understand code. It makes coding faster and easier, but it does not replace the need to know what you are building. If you approve every suggestion without reading it, you will ship bugs. The diff-review step is not a formality. It is the part where your judgment matters most.
Second, the free tier has credit limits. Simple tasks — completions, explanations, small edits — are fine. But when you start using Cascade for complex operations across many files, credits go faster. Know your usage pattern before deciding whether the free tier covers you or whether you need Pro.
Third, for very large codebases — think enterprise-scale projects with millions of lines of code — Cascade’s context has limits. It is excellent for small and medium projects and for scoped features within large ones. For whole-architecture overhauls of a massive codebase, you still need humans in the loop making the big decisions.
Fourth, like all AI coding tools, it occasionally hallucinates. It might reference a file path that does not exist or call a function that is not in your project. Windsurf is better than average at avoiding this, but it happens. Always check what it is telling you to run before you run it.
The beginner mistake I see most often is asking the AI to do too much at once. Saying build me the whole feature produces messy results. Saying add input validation to this specific function produces clean, reviewable results. Scope your requests tightly and you will get dramatically better output.
My honest take
Windsurf is not going to write your software for you. Anyone who tells you any tool will do that is selling something.
What it will do is compress the parts of your workday that feel like friction — the explaining, the searching, the switching, the small fixes that take five minutes each but add up to an hour. Those are the hours that disappear without you noticing, and they are the hours Windsurf gives back.
The inline chat is the feature that will click for most people. Once you start editing code without leaving the editor, without opening a new tab, without pasting and reformatting — it is hard to go back to the old way.
If you are already on VS Code, install the free extension today. Find a function in your codebase that you have been meaning to clean up but have been putting off. Select it. Ask Cascade to explain and optimize it. See what comes back. That single fifteen-minute experiment will tell you more about whether this tool belongs in your workflow than anything else I could write here.
What would you use it for first? Drop a comment. If there are enough responses around a specific use case, we will do a follow-up post going deeper on that.
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