Coding vv2.2 2026 Rank: #2178
Devin ✓
AI teammate for ambitious engineering teams
from $500/mo
Verdict
A quick read before you dig into the full page.
- Best if
- AI teammate for ambitious engineering teams
- Skip if
- May not handle complex or unique coding tasks
- Pick this when
- Automates repetitive coding tasks
Considering Cursor instead? Compare side by side
Overview
Devin is an AI tool designed to support engineering teams in optimising their productivity. Through intelligent automation, it alleviates the burden of repetitive coding tasks.
One of its notable applications is assisting with large-scale code migrations, which can often be tedious and time-consuming for human engineers. Beneficial for organizations dealing with substantial volumes of code, Devin handles code migrations autonomously after being taught how to approach sub-tasks, requiring human intervention only to manage projects and approve the tool's changes.
It's worth noting that Devin's efficiency improves over time, as it becomes more familiar with the tasks and learns from previous errors. Overall, Devin could significantly shorten timelines for code migration projects, allow engineers to focus on more complex tasks, and provide substantial cost savings through increased efficiency and reduced manual efforts.
Devin, thus, aims to streamline the coding process, enhance productivity of HT resources, and support businesses in delivering their core products and services more efficiently and cost-effectively.
Best for
Short scenarios where Devin tends to shine.
-
AI teammate for ambitious engineering teams
Example outputs 1
Sample generations and before/after results for Devin.
Access & connections
Where you can use Devin.
Platforms
Capabilities
What this tool accepts, produces, and is strongest at.
Input
- API
- Code
- Text
Output
- Code
- API
- Text
Highlights
- Agents
Supported features
- IDE
- Code Assistant
- Agents
Pros & cons
Pros
- Automates repetitive coding tasks
- Assists with large-scale code migrations
- Requires minimal human intervention
- Streamlines the coding process
- Enhances productivity
- Supports business efficiency
- Learns from previous errors
- Ensures substantial cost savings
Show 20 more
- Collaborates in real-time
- Has own coding environment
- Performs independent code exploration
- May perform web searches for documentation
- Handles code refactors and migrations
- Assists with frontend bugs and Slack requests
- Capable of repository setup
- Supports web research and task automation
- Can handle online booking and reservations
- Ideal for technical debt and performance optimization
- Capable of maintaining documentation
- Code creation with natural language instructions
- Can be integrated with other tools like GitHub, Slack, AWS
- Supports mobile engagement
- Allows collaborative work on its own editor, shell and browser
- Case study shows 8x engineering efficiency gain
- Smarter with growing tribal knowledge
- Can operate with hundreds of tools
- Creates pull requests independently
- Works in parallel with multiple tasks
Cons
- Requires initial teaching period
- Dependent on human approvals
- Potential compatibility issues with tools
- Efficiency improves over time implies initial inefficiency
- May not handle complex or unique coding tasks
- Possibly high cost for small teams
- Potential misuse in code security
- Does not replace human expertise
Compare alternatives
Similar tools in the catalog — with a clear reason to open each one.
OnSpace.AI - No Code App Builder ✓
FreemiumBuild Apps with AI, No Code
Why look Freemium alternative
Full comparisonKilo Code ✓
Free TrialAI-powered coding assistant for VS Code
Why look Typically cheaper
Full comparison
Github Copilot ✓
FreemiumAI-powered coding assistant for faster development
Why look Freemium alternative
Full comparison
CodingFleet ✓
FreemiumAI wizard transforms instructions into code snippets.
Why look Freemium alternative
Full comparisonPeople also view
Tools that often show up alongside Devin in collections and comparisons.
Releases 6
Adds end-to-end testing with full computer use, including launching and testing desktop apps on its own Linux desktop.
Adds self-verification plus auto-fix behavior as part of a more autonomous completion loop.
Adds “Devin Review Autofix” so it reviews its own PR and fixes issues before you open it.
Starts up much faster, reducing time from task start to PR.
Ships a rebuilt interface that unifies planning, coding, and review into a single flow.
Adds confidence ratings during sessions so you can see how likely it is to succeed and reduce wasted effort.
Adds “score first” behavior for Linear and Jira issues so you can rank tasks without starting full sessions.
Adds built-in codebase intelligence (DeepWiki-style) to answer questions using repo snippets.
Adds an explicit !ask trigger to force a codebase scan for Q&A on demand.
Simplifies plan confirmation so it waits for approval when unsure and proceeds when confident.
Improves repo-context reasoning so it finds the right files, reuses existing patterns, and produces more accurate PRs.
Makes authenticated website setup easier by logging in during onboarding and saving cookies for later sessions.
Adds the ability to respond to audio messages in Slack.
Introduces enterprise accounts for centralized multi-org management and controls.
Adds full API functionality so you can drive sessions programmatically with structured input and output.
Improves speed and cost efficiency for tasks that require many code edits.
Adds customization hooks so teams can shape how it runs and reports.
Supports parallel session kickoff via scripts for running multiple tasks at once.
Makes it easier to build automation workflows on top of Devin via the API.
Runs inside a sandboxed dev environment with a shell, code editor, and browser.
Plans and executes longer engineering tasks with many sequential decisions.
Learns unfamiliar tools and libraries by reading docs and then applying them.
Builds and deploys apps end to end, including setup, iteration, and shipping.
Autonomously finds and fixes bugs in real codebases, including SWE-bench style issues.