Most "Claude Code vs Cursor" comparisons treat these three tools, and GitHub Copilot, as interchangeable options for the same job. They aren't. We ran the same real migration through all three: moving a mid-size Node API off Sequelize and onto Prisma, 60 files, 140 existing Jest tests, two many-to-many join tables.

Claude Code finished the whole thing unattended in under 40 minutes and passed every test, then quietly dropped a cascade-delete rule none of those tests checked for. Cursor caught that exact regression, because a human approves every diff before it lands, and took almost three times as long. Copilot never got the chance to make either mistake: in its default mode, it can't run a multi-file migration on its own at all.

Key takeaways

• Claude Code completed the full 60-file migration unattended in under 40 minutes, then quietly dropped a cascade-delete rule the test suite never checked for.
• Cursor caught that same regression during diff review, the tradeoff for requiring a human to approve every change; the run took close to three hours instead of 40 minutes.
• GitHub Copilot's default mode can't run a multi-file migration on its own. It's a different category of tool from Claude Code and Cursor, not a weaker version of the same thing.
• None of the three price by the task. Claude Code and Cursor both run on flat monthly seats (Claude Pro from $17/mo, Cursor Individual Pro at $20/mo), and Copilot Pro is $10/mo, cheaper than either because it's doing a smaller job by default.

The migration we actually ran

Toy benchmarks (autocomplete a for-loop, generate a README) don't tell you anything about how a tool behaves under real pressure. So we picked a task with real stakes: a TypeScript Express API, 60 files, backed by Postgres with 12 tables including two many-to-many join tables. The job was moving the data layer off Sequelize 5 and onto Prisma 5, preserving an existing suite of 140 Jest integration tests and one raw SQL migration that backfills a computed column.

This is the kind of refactor a small team actually schedules: not exotic, not a toy, but risky enough that a dropped constraint or a silently wrong migration doesn't show up until production traffic hits it. None of the three tools got special repo-level instructions beyond the task itself, worth noting since what you commit to guide an agent is its own decision with its own failure modes.

Claude Code vs Cursor vs Copilot: the comparison table

What each tool actually did

Claude Code

Given the task and repo access, Claude Code worked through all 60 files without stopping for approval, restructured the model layer around Prisma's schema, and rewrote the affected route handlers to match. The full suite passed on the first run. That's the part every "best AI coding agent" post would stop at.

What it didn't do: carry over the onDelete: Cascade behavior Sequelize had defined on one of the two join tables. Nothing in the 140 tests asserted cascade-delete behavior specifically, so the suite stayed green while the actual database behavior quietly changed. We only caught it by manually diffing the generated Prisma schema against the original Sequelize model associations after the run finished, a step that's easy to skip when the tests already say "pass."

Cursor

Cursor ran the same migration file by file, with a human reviewing and approving each diff before it landed. That review caught the cascade-delete drop directly. The reviewer saw the Prisma relation missing the onDelete clause, compared it against the Sequelize source, and rejected the diff until it was fixed.

The tradeoff showed up in time, not correctness. Reviewing 60 diffs individually took close to three hours against Claude Code's 40 minutes. Cursor also couldn't generate a correct version of the raw SQL backfill query on its own; a developer wrote that one query by hand and let Cursor handle everything else.

GitHub Copilot

Copilot's default experience is inline completion and chat, not an unattended multi-file agent. It was genuinely useful for suggesting the right Prisma schema syntax line by line and for answering questions about Sequelize's association options mid-task. Even so, the developer drove every file change manually.

GitHub does offer an asynchronous coding-agent mode on higher plans for repo-wide tasks. We didn't test that mode here, and it's worth being upfront about that: this comparison covers Copilot's everyday IDE experience, not its full product line.

Treating Copilot as a weaker Claude Code or Cursor misreads what it's for. It's a different tool for a different moment in the workflow: fast, cheap, line-level assistance, not autonomous schema migrations.

What it actually cost

None of these three price the task itself. All three run on flat monthly seats once you're past raw API usage, so "how much did this migration cost" is really "what fraction of a monthly seat did it use," not a standalone per-run bill.

Claude Code comes with Claude Pro, from $17/mo billed annually or $20/mo month to month. Heavier usage moves to a Max plan starting at $100/mo. Cursor's Individual Pro is $20/mo, with Teams Standard at $40 per seat for centralized billing.

Copilot Pro is the cheapest of the three at $10/mo, which tracks with it doing a narrower job by default. Pro+ at $39/mo adds premium models. Max at $100/mo targets sustained agent workflows, closer to what Claude Code and Cursor's Agent mode already do out of the box. (All figures verified against each vendor's pricing page, August 2026.)

The real cost differentiator isn't the sticker price. It's what you're paying for: Claude Code and Cursor both meter against an included agent-usage allowance on their paid plans, while Copilot's cheapest tier assumes you're not asking it to run whole-repo changes at all.

Which one should you actually use

If you want unattended speed on a schema change and can budget real review time afterward, use Claude Code, but treat a passing test suite as necessary, not sufficient. Diff the schema by hand before you merge.

If you'd rather catch a regression before it lands than after, use Cursor, and accept that review time as the cost of that safety net. For anything touching cascade rules, foreign keys, or data you can't easily restore, that tradeoff is usually worth it.

If your actual job is smaller, in-file changes rather than repo-wide migrations, Copilot Pro is the cheaper, faster daily driver, and asking it to be Claude Code or Cursor is asking the wrong tool to do a job it isn't built for.

The honest takeaway isn't "which agent wins." It's that a green test suite and a correct migration aren't the same claim, and the tool that finishes fastest is the one that most needs a second look before it ships.