חוות דעת מהירה
- Only commercial tool designed for truly long-horizon tasks (days, not hours) without human checkpoints
- ACU billing means light users pay proportionally less than flat-rate seat pricing
הכי מתאים ל: Engineering teams wanting to scale output by delegating complete feature implementations, Organizations comfortable with cloud-based autonomous agents and have isolated branch workflows, Teams with well-documented coding standards who can encode them in the Knowledge Base
Devin
Updated March 2026
The first commercial autonomous AI software engineer, built by Cognition AI. Devin operates in a persistent computer environment with a browser, terminal, and code editor, executing multi-day software projects from high-level specifications. At $20/mo with per-ACU billing, it targets teams looking to delegate full feature implementations rather than individual coding steps.
הכי מתאים ל: Engineering teams wanting to scale output by delegating complete feature implementations • Organizations comfortable with cloud-based autonomous agents and have isolated branch workflows • Teams with well-documented coding standards who can encode them in the Knowledge Base • Managers who want Slack-based task delegation without requiring developer involvement in assignment
תכונות עיקריות
- Full persistent computer environment: browser, terminal, and code editor in one agent
- Long-horizon task execution across multi-day projects without losing context
- Slack integration for task assignment and progress updates without visiting the web app
- GitHub and GitLab integration for automatic PR creation and code review responses
- ACU (Agent Compute Unit) billing model — pay for compute consumed, not fixed seat pricing
- Branching and rollback of agent states to undo incorrect task directions
- Knowledge base: store domain knowledge and coding standards for consistent behavior
- Parallel workstreams: multiple concurrent tasks under a single subscription
יתרונות
- Only commercial tool designed for truly long-horizon tasks (days, not hours) without human checkpoints
- ACU billing means light users pay proportionally less than flat-rate seat pricing
- Slack integration reduces friction for non-technical managers to assign and track tasks without developer intermediaries
- Knowledge base allows engineering standards to be encoded once and applied consistently across all tasks
חסרונות
- SWE-bench performance (13.8% on unassisted tasks in independent testing) is much lower than vendor benchmarks suggest
- ACU costs for complex projects accumulate to $50–500+ per project — far exceeding the $20/mo base fee
- Devin frequently gets stuck on ambiguous requirements and silently produces incorrect output rather than asking for clarification
- No local execution option — all tasks run in Cognition's cloud, raising data privacy concerns for proprietary codebases
- Recovery from incorrect agent directions requires manual rollback — there is no auto-detection of failed task paths
תמחור
| תוכנית | פרטים |
|---|---|
| חינם | None — paid plan required |
| מקצועי | $20/mo base fee + ACU billing; typical projects cost $50–200 in ACUs above the base fee |
| ארגוני | Custom pricing — dedicated capacity, private cloud options, SLA, and compliance controls |
ACU rates vary by task complexity; Cognition does not publish a fixed ACU-to-dollar conversion rate publicly
טיפים ושיטות עבודה מומלצות
Write extremely detailed task specifications with explicit acceptance criteria and example inputs/outputs before starting
Set checkpoint reviews every 2-3 hours for long tasks — catching incorrect directions early saves significant ACU cost
Use the Knowledge Base to encode your API patterns, naming conventions, and testing requirements before any tasks
For sensitive code, use Devin only on isolated feature branches with mandatory PR review before any merge
Features
- Full persistent computer environment: browser, terminal, and code editor in one agent
- Long-horizon task execution across multi-day projects without losing context
- Slack integration for task assignment and progress updates without visiting the web app
- GitHub and GitLab integration for automatic PR creation and code review responses
- ACU (Agent Compute Unit) billing model — pay for compute consumed, not fixed seat pricing
- Branching and rollback of agent states to undo incorrect task directions
- Knowledge base: store domain knowledge and coding standards for consistent behavior
- Parallel workstreams: multiple concurrent tasks under a single subscription
Best for: Engineering teams wanting to scale output by delegating complete feature implementations • Organizations comfortable with cloud-based autonomous agents and have isolated branch workflows • Teams with well-documented coding standards who can encode them in the Knowledge Base • Managers who want Slack-based task delegation without requiring developer involvement in assignment
Pros
- Only commercial tool designed for truly long-horizon tasks (days, not hours) without human checkpoints
- ACU billing means light users pay proportionally less than flat-rate seat pricing
- Slack integration reduces friction for non-technical managers to assign and track tasks without developer intermediaries
- Knowledge base allows engineering standards to be encoded once and applied consistently across all tasks
Cons
- SWE-bench performance (13.8% on unassisted tasks in independent testing) is much lower than vendor benchmarks suggest
- ACU costs for complex projects accumulate to $50–500+ per project — far exceeding the $20/mo base fee
- Devin frequently gets stuck on ambiguous requirements and silently produces incorrect output rather than asking for clarification
- No local execution option — all tasks run in Cognition's cloud, raising data privacy concerns for proprietary codebases
- Recovery from incorrect agent directions requires manual rollback — there is no auto-detection of failed task paths
חלופות ל-Devin
המלצה סופית
Devin הוא כלי AI בתשלום המתאים ביותר לEngineering teams wanting to scale output by delegating complete feature implementations, Organizations comfortable with cloud-based autonomous agents and have isolated branch workflows.