Décomposition de l'Agent Rank
- Autonomie
- 9
- Capacités
- 8
- Intégrations
- 6
- Tarification
- 4
- Maturité
- 10
- Vérifiabilité
- 10
Calculé automatiquement à partir de l'autonomie, des capacités, des intégrations, de la tarification, de la maturité et de la vérification éditoriale. Mis à jour à chaque déploiement. Comment est-ce calculé ?
Capacités
- Exécution de code
- Tool Use
- Browser Use
- Memory
Intégrations
- Version control
- GitHub
- Messaging
- Slack
- Project mgmt
- Linear
Niveaux de tarification
- +Sessions illimitées
- +Intégrations Slack, GitHub et Linear
- +10 sessions parallèles
- +Support par email
- +Tout depuis Core
- +File d'attente prioritaire
- +40 sessions parallèles
- +SSO
- +Base de connaissance partagée
- +Parallélisme sur mesure
- +Option VPC dédié
- +Rapports SOC 2 Type II
- +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.
Software engineer IA autonome qui livre des PR end-to-end. Commencez avec le tier abonnement.
Questions fréquentes
Combien coûte Devin ?+
Devin commence à 500 $/mois sur le tier Core (petites équipes, 10 sessions parallèles). Le tier Team coûte 1 500 $/mois avec 40 sessions parallèles et SSO. Enterprise est sur mesure — typiquement des contrats annuels à six chiffres avec option VPC dédié et rapports SOC 2 Type II.
Devin vaut-il 500 $/mois ?+
Pour les équipes qui traitent ≥10 issues backlog bien spécifiées par mois, oui. Devin livre des PR fonctionnels avec 70-80 % de succès au premier passage sur des tâches aux critères d'acceptation clairs. L'économie par PR (25-50 $) bat souvent l'alternative d'une heure-ingénieur (>100 $). Pour les développeurs solo ou équipes au travail majoritairement ad-hoc, 500 $/mois est difficile à justifier — Cursor à 20 $/mois couvre les mêmes workflows avec un engineer-in-the-loop.
À quoi Devin est-il le mieux adapté ?+
Backlog burndown d'issues GitHub bien spécifiées — corrections de bugs, refactors routiniers, endpoints boilerplate, scaffolding de tests. Devin lit l'issue, planifie le changement, écrit le code, lance les tests, ouvre un PR. Les tâches ambiguës, décisions d'architecture et refactors transversaux de 30+ fichiers restent difficiles.
Devin ou Cursor — lequel choisir ?+
Ils résolvent des problèmes différents. Cursor est pour le daily-driver coding dans l'éditeur (20 $/mois, l'engineer reste dans la boucle). Devin est pour le backlog burndown autonome (500 $/mois, review uniquement du résultat). La plupart des équipes qui adoptent Devin gardent aussi Cursor — ils sont complémentaires, pas substituts.
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