Agent-Rank-Breakdown
- Autonomie
- 9
- Fähigkeiten
- 8
- Integrationen
- 6
- Preise
- 4
- Reife
- 10
- Verifizierbarkeit
- 10
Automatisch berechnet aus Autonomie, Fähigkeiten, Integrationen, Preisen, Reife und redaktioneller Verifizierung. Bei jedem Deploy aktualisiert. Wie wird das berechnet?
Fähigkeiten
- Codeausführung
- Tool-Nutzung
- Browser-Nutzung
- Memory
Integrationen
- Version control
- GitHub
- Messaging
- Slack
- Project mgmt
- Linear
Preisstufen
- +Unbegrenzte Sessions
- +Slack-, GitHub- und Linear-Integrationen
- +10 parallele Sessions
- +E-Mail-Support
- +Alles aus Core
- +Priorisierte Warteschlange
- +40 parallele Sessions
- +SSO
- +Geteilte Wissensbasis
- +Individuelle Parallelität
- +Dedizierte VPC-Option
- +SOC-2-Typ-II-Reports
- +Onboarding-Engineer
Our take on Devin
Devin is the most aggressive bet on fully autonomous engineering yet — promising end-to-end PRs from a single Slack message. After hands-on use, it shines on greenfield scaffolding and breaks down on legacy codebases that need deep context.
- +Genuinely autonomous on well-scoped tasks — runs for hours without supervision
- +Tight Slack and Linear integrations remove the need for a separate UI
- +Strong at scaffolding, dependency upgrades, and migrations
- +Sandboxed execution environment keeps your prod machines clean
- −The $500/mo entry price is steep relative to assistant-style alternatives
- −Struggles with codebases where context lives in undocumented conventions
- −Reasoning loop can spiral — leave a budget cap or it will burn it
- −Reviewing its work still requires senior engineering attention
- ·Teams that ship a lot of well-scoped maintenance and migration work
- ·Founders running solo who can hand off green-field features overnight
- ·Bridging the gap between Linear tickets and merged PRs
- ·Heritage codebases with implicit conventions — Devin will guess and get it wrong
- ·Tasks that need cross-team coordination beyond a single repo
How it works
You hand Devin a task in natural language — usually as a Slack message, a Linear issue, or a CLI prompt — and it spins up an isolated cloud environment, clones the repo, and starts working. It writes code, runs tests, reads errors, iterates, and when it's done, opens a pull request you can review.
The core innovation isn't a smarter model; it's the scaffolding around the model: a planner, a code-aware editor, a shell, a browser, and a checkpoint system that lets Devin resume work after errors instead of starting over.
What it's actually good at
In practice, three task shapes consistently work well:
- Dependency upgrades — bumping React 18 → 19, migrating from Pages Router to App Router, or moving from one ORM to another. Devin reads breaking-change notes and applies them mechanically.
- Greenfield features with clear specs — "Add a /reports endpoint that returns CSV for the last 30 days of orders" — where there's no hidden context.
- Repository hygiene — adding tests for uncovered code, replacing deprecated APIs, normalizing imports across hundreds of files.
Where it stumbles
Two patterns trip it up reliably:
-
Implicit conventions. If your repo has unwritten rules ("we always use the
useToasthook fromlib/uirather than the one fromshadcn"), Devin doesn't know and will guess wrong. The fix is to write those rules down in aCLAUDE.mdorAGENTS.mdat the repo root. -
Long context. When the relevant code spans 8+ files across multiple packages, Devin's planner sometimes loses the thread. Smaller PRs scope it correctly.
Pricing reality check
The Core plan starts at $500/month and includes ~250 "agent compute units" — which translates to roughly 50-100 substantive tasks depending on complexity. Compared to Cursor or Cline (assistant-style, ~$20/mo), Devin only pencils out if you have a backlog of work that would otherwise burn engineering hours at $150+/hour.
For a team of 3-5 engineers shipping continuously, the math usually works. For a solo founder doing occasional contract work, it doesn't.
Bottom line
Devin is the strongest autonomous agent we've tested for code, but autonomy is expensive and noisy. Pair it with a senior reviewer and a tight backlog of well-scoped tickets, and it earns its keep. Use it as a "smarter Cursor" and you'll burn money.
Autonomer KI-Software-Engineer, der PRs Ende-zu-Ende ausliefert. Beginnen Sie mit dem abonnement-Tier.
Häufig gestellte Fragen
Was kostet Devin?+
Devin startet bei 500 $/Monat im Core-Tier (kleine Teams, 10 parallele Sessions). Der Team-Tier kostet 1.500 $/Monat mit 40 parallelen Sessions und SSO. Enterprise ist individuell — typischerweise sechsstellige Jahresverträge mit dedizierter VPC-Option und SOC-2-Typ-II-Reports.
Lohnt sich Devin für 500 $/Monat?+
Für Teams, die ≥10 gut spezifizierte Backlog-Issues pro Monat abarbeiten, ja. Devin liefert funktionierende PRs mit 70–80 % First-Pass-Erfolg bei Aufgaben mit klaren Akzeptanzkriterien. Die Pro-PR-Ökonomie (25–50 $) schlägt oft die Alternative einer Engineer-Stunde (über 100 $). Für Solo-Entwickler oder Teams mit hauptsächlich Ad-hoc-Arbeit sind 500 $/Monat schwer zu rechtfertigen — Cursor für 20 $/Monat deckt die gleichen Workflows mit Engineer-in-the-Loop ab.
Wofür eignet sich Devin am besten?+
Backlog-Burndown gut spezifizierter GitHub-Issues — Bugfixes, Routine-Refactors, Boilerplate-Endpoints, Test-Scaffolding. Devin liest das Issue, plant die Änderung, schreibt den Code, lässt Tests laufen, öffnet einen PR. Mehrdeutige Aufgaben, Architektur-Entscheidungen und übergreifende Refactors von 30+ Dateien bleiben schwer.
Devin oder Cursor — was sollte ich wählen?+
Sie lösen unterschiedliche Probleme. Cursor ist für Daily-Driver-Coding im Editor (20 $/Monat, Engineer bleibt im Loop). Devin ist für autonomen Backlog-Burndown (500 $/Monat, reines Ergebnis-Review). Die meisten Teams, die Devin einsetzen, behalten auch Cursor — sie sind komplementär, keine Substitute.
User-Reviews
Review schreiben →Be the first to review. We verify every reviewer by email.


