For years, the bottleneck in software development wasn't skill — it was syntax. Developers would burn mental energy remembering boilerplate, scanning documentation, and fixing trivial errors instead of staying in the creative flow that actually moves a project forward. That's changing fast.
A new philosophy called "vibe coding" has taken hold in engineering teams: you focus on architecture, logic, and outcomes. The AI handles the rest. At the center of this shift is Cursor IDE — and right now, the most capable engine you can run inside it is Claude Sonnet 4.6, Anthropic's freshly released (February 2026) flagship coding model. This guide will show you not just how to install Cursor, but how to configure it so it actually understands your codebase from day one — and how to get Sonnet 4.6 doing the heavy lifting immediately.
By the end, you'll have a fully primed agentic coding environment, not just a downloaded app.
What Is Cursor IDE and Why Switch?
Cursor is a code editor built as a fork of Visual Studio Code, which means it carries over the entire VS Code ecosystem — your extensions, your keybindings, your themes — while layering in deep, native AI capabilities that a plugin like GitHub Copilot simply cannot match.
The difference is architectural. Copilot sits on top of your editor and autocompletes lines. Cursor is woven into your editor: it can read your entire codebase, reason across multiple files simultaneously, execute terminal commands, preview diffs before applying them, and autonomously complete multi-step tasks. Think of the difference between a consultant who gives advice and an engineer who opens a pull request.
For enterprise developers — especially those working in complex environments like Salesforce/Apex or large legacy codebases — that difference is not incremental. It's transformational.
Step 1: Downloading and Installing Cursor
On Mac or Linux, the fastest path is the direct download from cursor.sh. If you prefer the command line, you can install via Homebrew:
brew install --cask cursor
On Windows, download the standard .exe installer from the same site and run it as you would any application.
The Most Important Step During Install: Migrate from VS Code
When Cursor launches for the first time, it will prompt you to import your VS Code settings. Do not skip this. Clicking "Import from VS Code" carries over your extensions, color theme, keybindings, and editor preferences in one shot. This single checkbox eliminates the friction that stops most developers from switching editors — your environment will look and feel identical to what you left, minus the AI limitations.
Step 2: Critical Initial Configuration
Installation takes two minutes. Configuration is where you turn Cursor from a generic tool into a professional setup.
Privacy Mode: Read This Before You Index Anything
By default, Cursor sends code snippets to its servers to generate completions. For most personal projects this is fine, but for enterprise environments — client codebases, proprietary algorithms, healthcare data, financial systems — you need to understand your options before touching the settings.
Navigate to Settings → General → Privacy Mode and toggle it on. With Privacy Mode enabled, your code is not stored or used for model training. Cursor also supports a Local Mode configuration and allows you to specify files or directories to exclude from indexing via a .cursorignore file (syntax is identical to .gitignore). If your codebase contains credentials, internal IP, or client-sensitive logic, set this up before you do anything else.
Pro Tip: Add
.env,*.pem,secrets/, and any configuration files containing API keys to your.cursorignoreimmediately.
Choosing Your AI Model: Why Claude Sonnet 4.6 Is the Default for Serious Developers in 2026
Cursor lets you choose your underlying AI model, and as of February 2026, there's a clear frontrunner for most engineering workloads: Claude Sonnet 4.6 from Anthropic.
Anthropic describes Sonnet 4.6 as their most capable Sonnet model yet — a full upgrade across coding, long-context reasoning, agent planning, and computer use. But what matters for Cursor users specifically is the evidence from the developer community. In internal testing at Anthropic, developers using Claude Code preferred Sonnet 4.6 over its predecessor roughly 70% of the time. They reported that it more effectively read context before modifying code, consolidated shared logic rather than duplicating it, and was significantly less prone to overengineering. Fewer false claims of success. Fewer hallucinations. More consistent follow-through on multi-step tasks.
Those aren't abstract benchmark improvements — they describe exactly the failure modes that make AI coding assistants frustrating to use for serious work.
Cursor's own co-founder and CEO weighed in directly at launch:
"Claude Sonnet 4.6 is a notable improvement over Sonnet 4.5 across the board, including long-horizon tasks and more difficult problems." — Michael Truell, Co-founder & CEO, Cursor
The model also ships with a 1 million token context window (in beta), which means it can hold entire codebases, large contracts, or stacks of documentation in a single request — and reason effectively across all of it. For Composer workflows that span dozens of files, that's a meaningful architectural advantage over models with smaller context limits.
One more detail worth knowing: Sonnet 4.6 is priced identically to Sonnet 4.5 ($3/$15 per million input/output tokens via API), so there's no cost reason to stay on the older model.
GPT-4o remains a reasonable choice for UI-heavy and front-end work. But for backend architecture, multi-file refactoring, enterprise document reasoning, and any task where the Agent needs to plan across a large codebase, Sonnet 4.6 is the current benchmark. You can switch models per conversation under Settings → Models — start with Sonnet 4.6 and see for yourself.
Pro Tip: If you're accessing Cursor via your own Anthropic API key, use the model string
claude-sonnet-4-6to ensure you're on the latest version.
Step 3: Priming the Agent — Context Setup
This is the section that separates a power user from someone who just installed a text editor. Cursor's AI is only as smart as the context you give it. Out of the box, it knows general programming patterns. After this step, it will know your codebase.
Indexing the Codebase
Open Cursor, then navigate to Settings → General → Codebase Indexing and click Compute Embeddings. This process analyzes your project files and builds a semantic map of how they relate to each other — which modules depend on which, where your data models are defined, how your services communicate.
Once indexed, when you ask Cursor "why is this function failing?", it doesn't just look at the file in front of you. It looks at the call chain. This is the feature that makes Cursor feel less like autocomplete and more like a colleague who actually read the codebase before the standup.
For large projects (100k+ lines), indexing can take several minutes. Run it, let it finish, and don't skip it.
Adding External Documentation with @Docs
Your codebase isn't the only context that matters. If you're working with a specialized library, an internal SDK, or a platform like Salesforce that has extensive documentation outside Cursor's training data, you can feed that in directly.
Use the @Docs command in any chat to link external documentation sources. For example, if you're building a Salesforce integration, you can point Cursor at the Apex Developer Guide. From that point forward, it can answer questions and write code that's grounded in the actual API — not a hallucinated version of it.
Step 4: Mastering the Three Core Interactions
Cursor has three distinct ways to interact with the AI, each suited to a different kind of task. Learning when to use each one is the key to working efficiently.
Cmd+K (Ctrl+K) — Inline Edit
Think of this as the Painter. Highlight a block of code, press Cmd+K, and describe what you want changed. The AI edits directly in place and shows you a diff. This is the right tool for targeted, localized changes: "rename this variable to be more descriptive," "add input validation to this function," "convert this loop to use array methods."
Cmd+L (Ctrl+L) — Chat Sidebar
The Consultant. This opens a chat panel where you can ask questions, request explanations, or explore ideas without changing any code. Use it when you're debugging and need to think out loud, when you want documentation generated, or when you're not yet sure what change you want to make.
Cmd+I (Ctrl+I) — Composer (The Agent)
The Engineer. This is Cursor's flagship feature and the one that puts it in a different category from every editor plugin. Composer operates across multiple files simultaneously. You describe a task — "add a user authentication module with JWT tokens and wire it into the existing Express routes" — and the Agent reads your codebase, plans the changes, creates or modifies multiple files, and presents the full diff for your review before applying anything.
Composer is what people mean when they talk about "agentic coding." You're not writing code anymore. You're reviewing it.
Step 5: Advanced Setup with .cursorrules
A .cursorrules file is a plain text file you place at the root of your project. It functions as a standing system prompt for the AI — a set of instructions that apply to every interaction in that codebase. This is where you encode your team's standards, so the AI doesn't have to be reminded every session.
Here's a solid starting point for a modern TypeScript/React project:
You are an expert TypeScript and React developer working on a production codebase.
Always:
- Use TypeScript with strict mode. Never use `any` type.
- Prefer functional components with hooks over class components.
- Use named exports, not default exports.
- Write self-documenting code; add JSDoc comments only on public APIs.
- Follow the existing folder structure: components/, hooks/, utils/, types/.
Never:
- Add console.log statements to production code.
- Use inline styles; always use the existing CSS module system.
- Mutate state directly.
When creating new components, generate a corresponding test file.
The value of .cursorrules multiplies on teams. Once it's in the repo, every developer using Cursor gets the same AI behavior. Code review becomes less about catching stylistic drift and more about actual logic.
Troubleshooting Common Setup Issues
Terminal commands not recognized: If Cursor can't execute terminal commands via the Agent, open the Command Palette (Cmd+Shift+P), search for "Shell Command: Install 'cursor' in PATH," and run it. Restart the terminal.
API Key errors (if using your own keys): If you've configured Cursor to use your own OpenAI or Anthropic API key rather than Cursor's subscription, check that the key has billing enabled and hasn't hit its rate limit under Settings → API Keys.
The AI keeps suggesting the wrong patterns: This is almost always a context problem, not a model problem. Check that your codebase is fully indexed, review your .cursorrules file for missing constraints, and consider whether the relevant files are being excluded by .cursorignore unintentionally.
"Vibe coding" fatigue: A word of honest advice — agentic tools are powerful enough to generate a lot of code very quickly, including incorrect code. Build in the discipline to review every diff before accepting it. The Agent is a collaborator, not a replacement for your judgment.
Why Claude Sonnet 4.6 Is the Right Model for Cursor Right Now
It's worth pausing on why the model choice matters for an IDE setup guide, because it's a question developers are actively searching.
Claude Sonnet 4.6 launched on February 17, 2026, and the reason it's generating so much attention in developer circles isn't just benchmark scores — it's the qualitative shift in what the model actually does inside agentic tools. Anthropic positioned it explicitly as a model that approaches Opus-level performance at Sonnet-level pricing, and in the specific context of Cursor, that gap closure is tangible.
Here's what that means practically for your Cursor workflow:
Composer tasks finish correctly the first time, more often. Prior models would plan a multi-file refactor, then lose track of the constraint you gave them three files in. Sonnet 4.6 shows meaningfully better follow-through on multi-step tasks — which is the exact failure mode that makes agentic coding feel unreliable.
The 1M token context window changes what you can ask. Load your entire backend service, its tests, and the relevant documentation into one session. Ask Cursor to find every place where a deprecated function is used and propose replacements. This is the kind of task that used to require manual codebase archaeology. Now you describe the task, press Cmd+I, and review the output.
Enterprise document work is noticeably stronger. For teams handling complex PDFs, financial data, or enterprise SaaS integrations — Databricks reported that Sonnet 4.6 matches Opus 4.6 on their OfficeQA benchmark, which tests reading charts, PDFs, and tables. If your work involves integrating against document-heavy systems (Salesforce contracts, compliance PDFs, structured reports), this is a practical improvement, not a theoretical one.
The model is available now at no extra cost. Sonnet 4.6 carries the same pricing as its predecessor, so switching is a one-line config change with no budget justification required.
The hype around Claude Sonnet 4.6 in the Cursor community is real and it's grounded. If you've been on the fence about upgrading your model configuration, February 2026 is the right time to make the switch.
Conclusion: You're Set Up for Agentic Coding — Now Use It That Way
Installation took minutes. What you've done beyond that — enabling Privacy Mode, indexing the codebase, adding documentation, defining your .cursorrules — is what transforms Cursor from a novelty into a professional tool.
The mental model worth holding onto: the AI is only as useful as the context you give it. A well-configured Cursor setup is less like using a smarter autocomplete and more like onboarding a new developer who has already read every file in your repo, knows your coding standards, and is available at 2am without complaint.
That's the actual promise of agentic coding. Now go build something.
For more on AI-assisted development in enterprise and CRM environments, explore the Ascendix blog or reach out to the team directly.
