Claude Code vs Cursor
Anthropic's Claude Code versus Cursor: AI-powered coding assistants compared on context handling, agent autonomy, IDE integration, and pricing in 2026.
Cognition's cloud-based autonomous software engineer agent
Anthropic's terminal-native, approval-gated, sandboxed coding agent
Devin builds its flagship benchmark, FrontierCode, itself; independent benchmarks paint a mixed picture — it beats Fable 5.1 on DeepSWE 1.1 and Terminal-Bench 2.1, but falls behind on Terminal-Bench 4. On price, Claude Code is more predictable: an average of ~$13/day, plus a `--max-budget-usd` cap in print mode. Try Devin for clearly defined, test-gated work; for ambiguous architectural work, Claude Code's approval-gated model is safer. Let a pilot decide.
| Category | Devin | Claude Code |
|---|---|---|
| Performance | 7/10 | 7/10 |
| Ease of Learning | 6/10 | 7/10 |
| Ecosystem | 6/10 | 9/10 |
| Community | 5/10 | 9/10 |
| Job Market | 5/10 | 7/10 |
| Future-Proof | 8/10 | 8/10 |
# Devin CLI — install, choosing a permission mode, and session management
# Source: https://docs.devin.ai/cli and https://docs.devin.ai/cli/reference/commands
# 1) Install Devin CLI (macOS/Linux)
curl -fsSL https://cli.devin.ai/install.sh | bash
# 2) Start a task in sandboxed Autonomous mode inside a project directory
cd ~/projects/backend
devin --permission-mode autonomous --sandbox \
-- "Upgrade Express 4 routes to Express 5, keep the test suite green"
# 3) Resume the latest session in the same directory, or return to a specific session
devin -c
devin -r abc12345
# 4) A one-off query in non-interactive (print) mode
devin -p "list all TODO comments"
# 5) Start a cloud session instead of the local agent
devin --cloud
# Switch modes mid-session: /mode, /normal, /accept-edits, /smart, /bypass
# Note: Autonomous only runs with --sandbox, and since edit/write calls fall
# outside the sandbox, it still asks for approval in this mode too;
# the mode that runs every call without approval is Bypass.# Claude Code — starting a task in sandboxed Auto mode and tracking cost
# Source: docs.claude.com/en/docs/claude-code/setup · /security · /costs · /github-actions
# 1) Install (native installer — macOS/Linux/WSL)
curl -fsSL https://claude.ai/install.sh | bash
# 2) Start interactively in Auto mode inside the repo
cd ~/projects/backend
claude --permission-mode auto \
"Upgrade Express 4 routes to Express 5, keep the test suite green"
# 3) In-session token/cost summary
/usage
# 3b) The budget cap only applies in print (headless) mode — -p is required
claude -p --max-budget-usd 5.00 \
"Upgrade Express 4 routes to Express 5, keep the test suite green"
# 4) Trigger from a GitHub Actions PR/issue comment (install first)
/install-github-app
# Then, in a PR/issue comment: @claude review this PR and list edge cases
# Note: in Manual mode every file write/command run requires approval;
# in Auto mode a separate classifier model reviews risky actions.Devin builds its flagship benchmark, FrontierCode, itself; independent benchmarks paint a mixed picture — it beats Fable 5.1 on DeepSWE 1.1 and Terminal-Bench 2.1, but falls behind on Terminal-Bench 4. On price, Claude Code is more predictable: an average of ~$13/day, plus a `--max-budget-usd` cap in print mode. Try Devin for clearly defined, test-gated work; for ambiguous architectural work, Claude Code's approval-gated model is safer. Let a pilot decide.
Get Free ConsultationPartly. Devin can work independently in its own cloud VM and browser; in Devin CLI's Bypass mode, every tool call proceeds without approval (even in Autonomous mode, edit/write calls still require approval), and SWE-2 comes within less than a point of Fable 5.1 on FrontierCode 1.1 Main. But on the same benchmark suite it falls seriously behind on a more general task like Terminal-Bench 4 (27.3% vs 55.8%). Cognition's own Pre-Task Checklist draws the line clearly too: tasks with a clear success bar (test suite, CI, a build step) that you'd finish in under three hours are a good fit for an autonomous agent — meaning autonomy is strong on well-defined tasks and limited on ambiguous ones.