Why Claude Is My Primary AI Coding Tool (And When I Use Copilot Instead)

GitHub Copilot is still the most widely used AI coding assistant among developers. A January 2026 JetBrains survey of over 10,000 developers found 29% use Copilot at work. But Claude Code is growing fast, now tied with Cursor at 18% adoption, and Claude has the highest satisfaction rating of any AI coding tool at 91%.

I default to Claude. Copilot is my secondary tool.

The Short Version

Claude handles larger context better. When you're working on a project with dozens of files and need the AI to understand the full picture, Claude can hold more context in a single conversation. Copilot is better at quick inline suggestions within a single file.

That's the core difference. Everything else flows from it.

My Workflow

I use Craft Agents (powered by Claude) for architectural decisions, multi-file changes, debugging across files, and writing new features. I use Copilot for boilerplate completion, small repetitive patterns, and quick inline fills while typing.

In a typical session, I'll start in Craft Agents with a description of what I want to build. Craft Agents reads the relevant files, understands the project structure, proposes an approach, and implements the changes across multiple files. Then I switch to my editor with Copilot running for the finishing work. Typing out a component, filling in prop types, writing test cases. Tab, tab, tab.

They're not competitors. They serve different purposes. Using only Copilot for everything is like using a screwdriver for every home repair. Sometimes you need a screwdriver. Sometimes you need a drill.

Why Claude for Big Work

Copilot's strength is speed. You're typing a function, it suggests the next three lines, you hit tab, done. That's useful for boilerplate. It's not useful for "redesign the component architecture to support pagination."

For that kind of work, you need the AI to understand multiple files simultaneously. The component file, the page file, the routing config, the type definitions, the data fetching logic. Copilot sees one file at a time. Claude can hold the entire context in a single conversation.

Craft Agents runs Claude as a full agent with tool access. It can read files, search the codebase, run commands, and make edits across multiple files in a single turn. Copilot can't do that. Copilot is a completion engine. Claude through Craft Agents is an autonomous assistant.

A concrete example: I added pagination to my blog. The task touched the blog index page, a new paginated page component, a pagination UI component, the blog utility library, and the sitemap generator. Craft Agents understood all of those files, proposed the architecture, implemented each change, and ran the build to verify. Copilot couldn't have done that. It can only suggest what comes next in the file you're currently editing.

Why Copilot for Small Work

Where Copilot excels is the stuff you do hundreds of times a day. Writing a function signature and having it fill in the body. Typing a CSS class and getting the full rule suggested. Creating a new component and having the import statements auto-complete.

That sounds small. It's not. Over the course of a day, those micro-completions save a lot of keystrokes. Copilot is fast and it's always there. No prompting, no context switching. Just type and tab.

I also use Copilot Chat in VS Code for quick questions about a specific file. "How does this function work?" "What are the edge cases here?" Claude could answer those too, but Copilot is already in my editor. No tab switching, no new window.

Other Tools in the Stack

Claude and Copilot aren't my only AI tools. I also use ChatGPT for quick questions and general knowledge, Gemini for research, Z.ai GLM models and OpenRouter for accessing different models, and local Llama models for privacy-sensitive work where I don't want to send data to an API.

Different tools for different problems. I don't have loyalty to any particular model. I have loyalty to whatever gets the job done fastest.

Context Window Is the Real Differentiator

The reason Claude wins for project-level work comes down to context window size. Copilot operates on the file you're currently editing, plus whatever context it can pull from open tabs. Claude can ingest an entire project's worth of code in a single conversation.

When the task is "fix this function," context window doesn't matter. When the task is "build a new feature that touches eight files across three directories," context window is everything.

This is also why I keep transcripts of my work sessions in a knowledge base. When I start a new session, I can reference previous work without re-explaining the project history. The context carries forward.

The Data

In case you're wondering whether I'm the outlier here: Claude adoption has grown 6x among developers in the past eight months. It now ties with Cursor as the second most-used AI coding tool. And among developers who use Claude Code, 91% are satisfied with it. That's the highest rating of any AI coding tool on the market.

Copilot still leads in total users, and it's a solid tool. But the trend is moving toward reasoning-focused tools over pure completion engines. I'm just ahead of the curve.

This Will Change

Both tools are improving fast. Copilot is getting better at multi-file awareness. Claude is getting faster at inline completion. In six months the comparison might look different.

Right now, Claude handles reasoning and multi-file work better. Copilot handles speed and inline completion better. My workflow reflects that split.

The people who struggle with AI coding tools are the ones who pick one and try to use it for everything. That's like picking one programming language and insisting it's the best for every use case. Use the right tool for the right task.

If you're building a consulting business and want help standing out, that's what I do. Get in touch.