I spent time on a setup before realizing the bottleneck wasn’t the editor, but how I was using it. By switching the heavy thinking to Claude Code and keeping my editor for quick edits, the difference was immediate: fewer context resets, fewer “oops, wrong file” moments, and a workflow that felt closer to how I actually ship side projects.
Key Takeaway
Claude Code worked best as the “thinking layer” over an existing repo: spec, refactor, verify, then hand off the final polish to the editor.
Day 1: The Switch That Finally Stuck
My daily setup is still pretty standard: an editor for code navigation, Claude for the spec, a task manager for the queue, and a terminal open when I need to stay honest. The mistake was trying to make the editor do the whole job. It kept nudging me into micro-edits when I really needed a tool that could hold a bigger chunk of intent in its head.
Claude Code clicked because it fit the way I already work on side projects. I’d paste in a task, let it reason across files, and then I’d verify the output instead of babysitting every line. That sounds obvious, but many discussions treat “AI coding” like a one-tool religion. The best setup is usually a chain, not a hero product.
Side note: I’m not interested in “AI wrote my app” theater. Good enough for v1 is fine. Good enough for the changelog is where I start getting picky.
Week 1: What Claude Code Finished Faster
The first real win was a codebase refactor on a small SaaS project. I gave Claude Code the same brief I’d normally use for a contractor: what files mattered, what behavior had to stay stable, and what I’d tolerate as temporary mess. It handled the broad sweep well, especially when the change touched multiple modules and the “right answer” depended on reading more than one file at once.
Anthropic’s Claude Code documentation describes it as a terminal-based coding assistant that can work directly with your repository, which matches the way it feels in practice: less chatty, more task-oriented. That matters when you’re trying to ship instead of admire the prompt. The product page also frames it around coding tasks rather than generic conversation, which is exactly why I stopped forcing it to act like a brainstorming buddy. Anthropic, Claude Code
I didn’t measure a stopwatch-perfect speedup, and I’m not going to fake one. What I can say is that the number of times I had to re-explain repo structure dropped noticeably. The model held enough context to keep moving, which is the real win. If you’ve ever lost time to re-pasting the same architectural note, you know why that matters.
Week 2: Where It Stumbled
Claude Code isn’t magic, and I wouldn’t use it blindly for anything user-facing without review. It can be overconfident about small implementation details, especially when the repository has old conventions or weird naming. That’s not a deal-breaker. It just means you still need a human pass before merge.
Where I still prefer an editor
An editor’s context and inline editing are better when I already know the exact file and the fix is local. Claude Code is stronger when the task is broader than one screen. For tiny UI tweaks, an editor feels faster. For “trace this bug through three layers and propose the safest patch,” Claude Code usually gets me farther before I touch anything.
One concrete example: during a backend cleanup, Claude Code proposed the right direction but left a couple of edge cases for me to tighten up. That’s fine. I’d rather have a broad, mostly-correct pass than a brittle patch that looks neat in the editor and breaks on the second request.
Most guides say the best AI coding workflow is to stay inside one interface. That’s wrong for me. My acceptance bar is simple: if the output is solid enough that I only need to fix the risky bits, it earns a place in the stack. If it drifts into “probably fine,” I stop and reset.
Week 3: The Shipping Rhythm
By the third week, I’d settled into a repeatable rhythm. Claude Code handled the longer tasks: feature scaffolding, refactor planning, and technical doc rewrites. My editor handled the surgical stuff. Claude Projects helped when I wanted to keep a spec, product notes, and implementation details in one place without retyping the same background every session.
The big difference wasn’t raw output. It was fewer interruptions. I could give Claude Code a task, walk away for a few minutes, and come back to something coherent enough to review. That sounds small, but it changes the shape of a workday. You stop treating the assistant like a search box and start treating it like a junior pair who can keep a thread alive.
| Tool | Where it fits | What I’d use it for | Source |
|---|---|---|---|
| Claude Code | Repo-wide reasoning | Refactors, multi-file fixes, spec-to-code translation | Anthropic |
| Editor (e.g., Cursor) | Local edits | Small patches, quick navigation, inline changes | Cursor |
| Claude Projects | Persistent context | Specs, notes, repeated product background | Anthropic Support |
What I Learned
The main lesson is straightforward: using Claude Code works best when the task is framed well. If you hand it a vague “make this better,” you get mush. If you give it a concrete repo goal and a clear boundary, it becomes useful very quickly.
I also learned not to confuse “fewer prompts” with “better workflow.” Sometimes one strong prompt plus a clean repo beats a dozen clever back-and-forth messages. And sometimes the right move is to stop prompting entirely and inspect the code yourself. I haven’t figured out why some tasks still benefit more from direct review than from another pass, but the pattern is consistent enough that I trust it.
For context, Anthropic’s model documentation says the Claude 3.5 Sonnet model is designed for strong coding and reasoning performance, which lines up with the parts of the workflow where Claude Code felt most valuable. I’m not claiming perfection. I’m saying it held up where I needed it to hold up: technical docs, multi-file edits, and repo-aware changes. Anthropic, Claude 3.5 Sonnet
Next Time I’ll…
Next time I start a new side project, I’ll set the repo notes up earlier and keep Claude Code on the heavier tasks from day one. I also won’t waste time trying to make one tool do everything. That habit cost me time, and it was self-inflicted.
If you’re using Claude Code today, my practical advice is simple: keep the task narrow enough to review, broad enough to matter, and don’t be shy about pairing it with an editor when the edit is local. That workflow has been good enough for v1 on my side projects, and that’s the bar I actually care about.
Q: Should I replace my editor with Claude Code?
A: I wouldn’t. I treat Claude Code as the reasoning layer and keep an editor for direct edits and fast inspection.
Q: What kind of work is Claude Code best at?
A: Repo-wide tasks: refactors, multi-file changes, and technical doc rewrites. It’s less useful when the fix is tiny and already obvious.
Q: Do you need Claude Projects to make it useful?
A: No, but it helps when you keep repeating the same product context. For longer-running side projects, it cuts down on re-explaining the basics.
Practical takeaway: using Claude Code is worth it when you let it own the bigger reasoning pass and keep your editor for the final mile. What part of your workflow would you stop forcing through one tool?
Sources
https://www.anthropic.com/claude-code
https://www.anthropic.com/news/claude-3-5-sonnet
https://support.anthropic.com/en/articles/9517075-what-are-projects
https://cursor.com/