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ComparisonsMicrosoft AutoGen vs Devin
Microsoft AutoGen
Microsoft AutoGen

Microsoft AutoGen

Open Source
VS
Devin
Devin

Devin

Paid

Microsoft AutoGen vs Devin (2026)

A comprehensive comparison of two popular AI Agents tools. We analyze pricing, features, strengths, and ideal use cases to help you choose the right one.

No rankings, no bias. This is a factual comparison — we don't rank or promote either tool. The right choice depends entirely on your specific needs.

Transparency Note: This page may contain affiliate links. We may earn a commission at no extra cost to you. Learn more.

How to read this 2026 comparison

Microsoft AutoGen and Devin are both strong options in AI Agents, but they optimize for different workflows. This page combines structured specs with excerpts from our full reviews so you can decide without opening ten tabs.

Microsoft AutoGen at a glance

AutoGen is a framework by Microsoft that enables the development of LLM applications using multiple agents that can converse with each other to solve tasks.

Standout strengths: Multi-agent orchestration; Code execution; Highly flexible. Typical use: Complex workflow automation. Pricing: Open Source.

Devin at a glance

Devin is the first fully autonomous AI software engineer. It can plan and execute complex engineering tasks requiring thousands of decisions.

Standout strengths: Fully autonomous; Can deploy apps; Self-correcting. Typical use: End-to-end app creation. Pricing: Paid.

Decision framework

If you need…Lean toward
Lowest friction daily codingThe tool that matches your IDE and VCS stack
Long-horizon refactorsStronger multi-file / agent features
Cost controlCompare Open Source vs Paid plus inference
ComplianceConfirm DPAs before enabling cloud agents

Many teams pilot both for two weeks on the same ticket sample, then standardize on one primary tool and keep the other for specialized tasks (reviews, migrations, or docs).

Quick Summary

Microsoft AutoGen is a Open Source AI Agents tool — multi-agent conversation framework by microsoft.. It stands out for multi-agent orchestration and code execution. Well suited for complex workflow automation.

Devin is a Paid AI Agents tool — the first fully autonomous ai software engineer.. It excels at fully autonomous and can deploy apps. Well suited for end-to-end app creation.

On pricing, Microsoft AutoGen (Open Source) and Devin (Paid) take different approaches, which may be a deciding factor for budget-conscious teams.

Microsoft AutoGen
Microsoft AutoGen

Microsoft AutoGen

AI Agents · Open Source

Multi-agent conversation framework by Microsoft.

AutoGen is a framework by Microsoft that enables the development of LLM applications using multiple agents that can converse with each other to solve tasks.

Full ReviewVisit Site
Devin
Devin

Devin

AI Agents · Paid

The first fully autonomous AI software engineer.

Rating: 9.8/10 (Best Enterprise Autonomous Agent)

1. Executive Summary

Devin, developed by Cognition AI, burst onto the scene in 2024 as the "first fully autonomous AI software engineer," sending shockwaves through the industry. By 2026, Devin has matured from an impressive demo into a robust enterprise platform that fundamental changes how software is built. Unlike "copilots" that wait for your keystrokes or "agents" that merely suggest code blocks, Devin is designed to take a high-level objective (e.g., "Migrate this legacy Python 2 codebase to Python 3.12 and containerize it") and execute it end-to-end.

Devin operates in a sandboxed environment equipped with its own terminal, browser, and code editor. It can plan complex tasks, break them down into thousands of steps, debug its own errors, deploy applications, and even collaborate with other human and AI engineers. In 2026, the release of Devin 2.0 introduced "Interactive Planning," drastically improving its ability to handle ambiguous requirements by actively collaborating with human stakeholders to scope out tasks before execution.

While its pricing remains premium (based on "Agent Compute Units" or ACUs), its efficiency has improved by 83% per ACU in the last year, making it a viable "digital employee" for serious engineering organizations. It is no longer just a novelty; it is a force multiplier that allows one senior engineer to output the work of a team of five.

2. Core Features (2026 Update)

2.1 True Autonomy & Long-Term Planning

Devin's defining feature is its ability to maintain context over days or weeks. Most LLMs lose the thread after a few turns. Devin maintains a dynamic "plan" state.

  • Dynamic Planner: It creates a step-by-step plan, checks off items as it completes them, and revises the plan if it encounters unexpected blockers (e.g., "Library X is deprecated, switching to Library Y").
  • Self-Healing: If a build fails or a test crashes, Devin reads the stack trace, modifies the code, and re-runs the test loop. It does not ask for help unless it is truly stuck.

2.2 The Sandbox Environment

Devin doesn't run on your machine; it runs in a secure, isolated cloud sandbox.

  • Full Shell Access: It can run grep, curl, docker, and any other Linux command.
  • Integrated Browser: If it needs to read documentation or check a deployment, it opens a headless Chrome instance to browse the web, scrape data, or interact with UI elements.
  • Editor: It uses a VS Code-like editor to write and diff code.

2.3 Interactive Planning (Devin 2.0)

Introduced in late 2025, this feature solves the "bad prompt" problem. Instead of blindly executing a vague request, Devin 2.0 will:

  1. Analyze the request.
  2. Ask clarifying questions (e.g., "Do you want to use AWS or GCP for this deployment?").
  3. Propose a detailed spec sheet.
  4. Wait for human approval before burning ACUs on execution.

2.4 Team Collaboration Features

Devin is now a "team player."

  • Slack Integration: It can report status updates to a Slack channel.
  • Multi-Session Visibility: Enterprise managers can see a dashboard of all active Devin sessions, pause runaways, or intervene in stuck tasks.
  • Playbooks: You can teach Devin a specific workflow (e.g., "How we handle database migrations") and save it as a Playbook for future tasks.

3. Pricing & Value (2026 Model)

Devin uses a consumption-based model centered on Agent Compute Units (ACUs).

3.1 The Plans

  • Core ($20/month): Ideal for freelancers or hobbyists. Includes roughly 10-15 hours of agent work (depending on complexity).
  • Team ($500/month): Includes 250 ACUs/month. Adds shared workspace, Slack integration, and priority support. Extra ACUs cost ~$2.00 each.
  • Enterprise (Custom): Includes SSO, VPC deployment options, audit logs, and dedicated success managers.

3.2 What is an ACU?

An ACU is a normalized unit of "cognitive work."

  • Simple Task (e.g., "Fix a typo"): < 0.1 ACU.
  • Medium Task (e.g., "Write a unit test suite for this class"): 1-3 ACUs.
  • Complex Task (e.g., "Set up a full CI/CD pipeline"): 10+ ACUs. Note: Devin 2.0 is 83% more efficient per ACU than v1, effectively lowering the cost of "work done" by nearly half.
Full ReviewVisit Site

Feature-by-Feature Comparison

See how Microsoft AutoGen and Devin compare across key dimensions.

Feature
Microsoft AutoGen
Microsoft AutoGen
Microsoft AutoGen
Devin
Devin
Devin
Pricing
Open Source
Paid
Category
AI Agents
AI Agents
Platforms
PythonCLI
Web Browser
Integrations
—
—
Strengths
3 documented
3 documented
Use Cases
3 identified
3 identified

Strengths & Capabilities

Understanding each tool's core strengths helps you match it to your workflow. Below is a detailed breakdown of each tool's strengths.

Microsoft AutoGen Strengths

Microsoft AutoGen's key advantages make it particularly well-suited for developers who value multi-agent orchestration.

  • Multi-agent orchestration
  • Code execution
  • Highly flexible

Devin Strengths

Devin's standout features make it a strong choice for developers who prioritize fully autonomous.

  • Fully autonomous
  • Can deploy apps
  • Self-correcting

Ideal Use Cases

Different tools shine in different scenarios. Here's where each tool delivers the most value, helping you pick the one that aligns with your day-to-day development tasks.

Microsoft AutoGen Ideal For

  • Complex workflow automation
  • Research
  • Multi-role simulation

Devin Ideal For

  • End-to-end app creation
  • Bug fixing
  • Migration tasks

Pricing Comparison

Microsoft AutoGen uses a Open Source model while Devin offers a Paid model. This difference can be significant depending on your budget and team size. Both tools require investment but deliver strong ROI for active developers.

Microsoft AutoGen

Open Source → Full pricing details

Devin

Paid → Full pricing details

Our Verdict

Choose Microsoft AutoGen if you need complex workflow automation and value multi-agent orchestration.

Choose Devin if you need end-to-end app creation and value fully autonomous.

Both are strong AI Agents tools with distinct advantages. Consider trying both (if free tiers are available) to see which fits your workflow better.

Try Microsoft AutoGen Try Devin

Frequently Asked Questions

Is Microsoft AutoGen better than Devin in 2026?
Both Microsoft AutoGen and Devin are strong AI Agents tools. Microsoft AutoGen (Open Source) excels at multi-agent orchestration. Devin (Paid) stands out for fully autonomous. The right choice depends on your specific workflow and priorities.
What is the pricing difference between Microsoft AutoGen and Devin?
Microsoft AutoGen uses a Open Source pricing model, while Devin uses a Paid model. This pricing difference means Microsoft AutoGen may be better suited for teams needing premium features, while Devin is ideal for developers seeking advanced capabilities.
Can I switch from Microsoft AutoGen to Devin?
Yes, switching from Microsoft AutoGen to Devin is generally straightforward since both are AI Agents tools. Microsoft AutoGen supports Python, CLI while Devin supports Web Browser, so make sure your platform is supported. Most of your existing workflows should transfer with some adjustment for each tool's unique features.
Which tool has more features: Microsoft AutoGen or Devin?
Microsoft AutoGen offers 3 documented strengths including multi-agent orchestration and code execution. Devin provides 3 key strengths including fully autonomous and can deploy apps. Both tools take different approaches — Microsoft AutoGen focuses on complex workflow automation while Devin targets end-to-end app creation.
What are some alternatives to both Microsoft AutoGen and Devin?
If neither Microsoft AutoGen nor Devin fits your needs, explore all AI Agents tools in our directory. Each tool in this category offers a unique combination of features, pricing, and integration options. Visit our alternatives pages for Microsoft AutoGen and Devin to see the full list of options.

Explore More

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