A practitioner's breakdown of how Claude Code and Cursor fit into a real development loop — planning, tool calls, verification, and where I still step in by hand.
Most of the production sites on this portfolio — including this one — were built with an AI coding agent doing a large share of the typing. The tool matters less than the loop, but the tools do shape how that loop feels day to day.
npm run build
# then check at 375px / 768px / 1280px, light + dark, before calling it doneClaude Code lives in the terminal and is built agent-first: it can plan a multi-file change, execute it, and run its own verification (builds, browser checks, screenshots) before handing control back. That makes it strong for larger, cross-file work — a new page, a data-model change that touches five components, a full section redesign.
Cursor lives inside the editor, so edits stay visible line-by-line as they happen. That's better suited to tight, local changes where I want to watch the diff form in real time rather than review it after the fact — a single component's styling, a targeted bug fix.
Neither tool is magic, and the gaps matter as much as the wins. An agent that isn't told to stay scoped will happily "improve" a couple of nearby functions while fixing the one thing you actually asked for — which is why this repo's own CLAUDE.md has a rule that a requested change should stay just that change.
They're also much better at extending an existing pattern than inventing a new one. Point either tool at a component that already exists five times in the codebase and ask for a sixth, and it nails it. Ask for something with no precedent in the repo — a layout or interaction nobody has built here before — and the output needs far heavier editing before it's usable.
Context also doesn't fully survive between sessions. A context file recovers the big picture at the start of a new one — stack, conventions, current priorities — but not the small stuff: a debugging path already ruled out, the reasoning behind a decision made minutes before the session ended. Some of that has to be re-established by hand.
In practice the split comes down to the size of the change, not loyalty to one tool. Anything that touches several files — a new page, a shared component's props changing everywhere it's used, a data-model update — goes to an agent that can read broadly, plan the whole change, and verify it before handing back.
Anything I want to watch happen line by line — tuning one component's spacing, chasing a single bug — stays in the editor, where the diff forms in front of me instead of arriving as a finished patch.
And for genuine one-liners — a typo, an import path, a stray console.log — neither tool is worth invoking. Opening an agent for a single keystroke change is more overhead than the change itself.
What loop does an AI coding agent follow?
Read the relevant code, plan the approach for anything non-trivial, make the smallest change the task allows, then verify it: run the build, check the browser at the breakpoints that matter, and read the diff back. It is the same loop a careful engineer follows, just faster at the reading and typing steps.
When should I use Claude Code instead of Cursor?
Use Claude Code for larger, cross-file work such as a new page, a data-model change that touches several components, or a full section redesign, because it can plan the change, execute it, and run its own verification before handing back. Cursor suits tight, local edits where you want to watch the diff form line by line.
Where do AI coding agents still fall short?
They will happily improve nearby code beyond what you asked unless told to stay scoped, they are much better at extending an existing pattern than inventing a new one, and context does not fully survive between sessions, so small details like a ruled-out debugging path have to be re-established by hand.
Do I need an AI agent for a one-line fix?
No. For genuine one-liners such as a typo, an import path, or a stray console.log, opening an agent is more overhead than the change itself.
What habit improves AI agent output the most?
Front-load the constraints, meaning the existing tokens, breakpoint conventions, and component patterns already in the codebase, instead of describing the feature in isolation and fixing the mismatches afterward.
Vibe coding means directing an AI coding agent with plain-language intent and iterating on its output, instead of hand-writing every line yourself. Here's what that actually looks like in practice, and where it earns its keep.
A full breakdown of building MagicMond Global — the agency's own marketing site — end-to-end in 3 days with the MagicMond Magicians Team: the stack, the workflow, and the live result.
Three React builds in production: PerfectCareer's automation-driven platform, Reidius Infra Global's Dubai villa-construction site, and the Reidius Infra lead-gen landing page — same stack, same fast-shipping discipline.