Devin vs Claude Code Comparison

Cognition's cloud-based autonomous software engineer agent

VS
Claude Code

Anthropic's terminal-native, approval-gated, sandboxed coding agent

18 min readAI

Quick Verdict

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.

DevinClaude Code
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Score Comparison

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Detailed Scoring

Detailed Scoring: Devin and Claude Code — category-by-category scores out of 10
CategoryDevinClaude 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

Pros & Cons

Devin

Pros

  • With 5 permission modes (Normal/Accept Edits/Smart/Bypass/Autonomous), you can dial the oversight level to match the task type
  • Runs isolated in its own cloud VM and its own browser — your own machine stays idle
  • Devin Review automates PR review, with full support on GitHub and partial support on GitLab and Azure DevOps
  • The Fusion harness pairs a frontier model with a cheaper 'sidekick' model in parallel instead of relying on a single model; Cognition reports up to 60% lower cost on the FrontierCode 1.1 Extended data
  • Auto-sleeps after 30 minutes idle, so no charge accrues during unused time
  • SOC 2 Type II certified (March 2024); the product page also displays ISO 27001 and FedRAMP badges

Cons

  • Closed-source SaaS — no public GitHub repo or star count, so community contribution is impossible
  • Falls behind Claude-side models on general-purpose tasks like Terminal-Bench 4
  • Devin Review doesn't support Bitbucket at all; auto-merge is full on GitHub, partial on GitLab, and absent on Azure DevOps
  • ACU (Agent Compute Unit)-based billing makes it hard to estimate cost in advance for a given job size
  • Enterprise pricing is contract-based, with no public list price

Best For

Well-defined, repetitive, test-gated tasks (batch migrations, backlog cleanup, bug-fix queues)Running parallel background tasks without tying up the developer's own machineTeams that want to standardize a multi-repo PR review processClearly scoped work whose outcome can be judged by a simple 'is the PR ready' bar

Claude Code

Pros

  • Works across four surfaces: terminal, IDE extensions, desktop app, and web
  • Starts read-only in Manual mode; in Auto mode a separate classifier model reviews risky actions
  • Sandbox (Seatbelt/Linux) enforces file-system + network isolation at the OS level
  • A broad, active, measurable community — 148,073 GitHub stars and 24,529 forks
  • In-session token/cost tracking via `/usage`, plus a hard spend cap with `--max-budget-usd` in print (headless) mode
  • In commercial use (Team/Enterprise/API), data is not used for model training by default

Cons

  • In Manual mode it can only write to the folder it was launched in and its subfolders — access to parent directories requires extra approval
  • No official, current (2026), independent task-completion-rate benchmark page has been published
  • The `claude-code-action` integration requires adding a workflow file to the repo (automatic PR review without a workflow is offered as a separate product)
  • Data-residency API calls are priced at 1.1x, adding another layer to budget calculations
  • The `--max-budget-usd` hard budget cap only applies in print (headless) mode — it doesn't work in an interactive session

Best For

Those who want a human-supervised, step-by-step flow for ambiguous, architecture-critical, or context-heavy workDevelopers who want an agent that plugs directly into their existing terminal/CLI workflowTeams for whom enterprise data residency and a no-training-on-data policy are prioritiesTeams that want to keep costs tight on automated (print-mode) runs with the `--max-budget-usd` capTeams that pick tools based on open-source community signal (star/fork/issue traffic)

Code Comparison

Devin
# 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
# 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.

Conclusion

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.

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FAQ

Frequently Asked Questions

Partly. 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.

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