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Devin, Replit Agent, and Cline in 2026: Which to Choose

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A comparison of Devin 2.0, Replit Agent 3, and Cline by price, benchmarks, and real production work. Where to look if you’re tired of Claude Code in May 2026.

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What is an autonomous AI coder, and how is it different from Claude Code?

Key takeaways

An autonomous AI coder is an agent that gets a task once and works on it without stopping: it writes code, runs tests, fixes errors, opens a pull request, and sometimes publishes the result. Claude Code and Cursor are assistants in a dialogue; they wait for your next message. Devin, Replit Agent, and Codex Cloud live in their own virtual machine and can work on a task for hours. Cline is an intermediate form: an autonomous agent inside your VS Code, without a separate virtual machine.

In 2026, all AI coders fall into three categories based on their level of independence.

  1. Dialogue assistants - Claude Code, Cursor, GitHub Copilot. You write a prompt, the agent responds, then waits for your next message. You have almost complete control, and the speed is moderate.
  2. Semi-autonomous tools inside the editor - Cline, Roo Code, Aider. The agent reads files, edits them, and runs commands in your terminal on its own. It works longer without review, but still on your machine.
  3. Fully autonomous tools on their own virtual machines - Devin, Replit Agent, Codex Cloud. They receive a task, go to their own virtual machine, work on it for hours, and return with a pull request or a deployed website.

The main difference with the third category is long sessions without a person. Devin, Codex Cloud, and Replit Agent run on their own virtual machines and can work for hours, opening pull requests while you sleep. That is fundamentally impossible in a dialogue tool: you have to come back and say “continue.”

If you are just starting to explore vibe-coding tools and want a map of the whole landscape, read the guide “What to code with in 2026: 8 AI tools from Claude Code to Antigravity”. Here I focus specifically on the autonomous part of the landscape.

In the experience described, the original author worked in Claude Code every day. Over a year, they built several products and a web platform. They reached the point where semi-autonomous mode started hitting a ceiling: while I make tea, the agent could be running migrations, fixing small issues, and running tests. So I went to see what competitors were offering.

Next are three tools, each with real figures as of the end of May 2026.

How is Devin 2.0 different from Claude Code on the same task?

Key takeaways

Devin 2.0 launched in April 2025, and its price was reduced from 500 dollars to 20 dollars per month for the Pro plan (9 ACU = ~2 hours of work). On SWE-bench Verified, Devin 2.0 scores 45.8%. The main difference from Claude Code is its own virtual machine with a browser and editor, where Devin clones the repository, writes code, runs tests, and opens a pull request by itself. It works well on clearly described tasks, and poorly on vague requirements that evolve.

Devin launched in March 2024 as “the first fully autonomous software engineer.” For a year and a half, it cost 500 dollars a month and was available only to large teams. On April 3, 2025, Cognition released Devin 2.0 and lowered the entry price to 20 dollars.

Currently (as of the end of May 2026), Devin has three plans, according to its official pricing page:

  • Pro - 20 dollars per month, 9 ACU (Agent Compute Units), with pay-as-you-go charges for overages.
  • Max - 200 dollars per month, expanded quota.
  • Teams - 80 dollars per month, unlimited team members.

One ACU is about 15 minutes of active agent work. That means Pro at 20 dollars gives you about 2 hours of autonomous work per month “out of the box”; after that, you pay as you go. That is much less than the 30-50 hours of Claude Pro for the same 20 dollars, but Devin does something different: it completes a whole task independently rather than holding a dialogue.

What is included in Pro at 20 dollars:

  1. Devin works in its own virtual machine (Linux + browser + editor), which you can see through a web interface.
  2. It receives tasks through chat or a Slack integration.
  3. It clones the repository, reads the code, writes code, runs tests, and opens pull requests by itself.
  4. It supports GitHub, GitLab, Linear, and Jira.

Cognition itself describes it this way in its official announcement:

Devin 2.0 proactively researches your codebase and develops a detailed plan. Each time you start a session, Devin responds in seconds with relevant files, findings, and a preliminary plan.

The main benchmark is SWE-bench Verified. It is a set of real GitHub issues from open-source repositories, each with a verification test. On this benchmark, Devin 2.0 solves 45.8% of the tasks in this benchmark in standard mode (without a person and without best-of-N). For comparison, the original Devin 1.0 scored just 13.86%, according to Cognition’s technical report in early 2024.

Devin’s most high-profile production case is Nubank, a major Latin American bank with 1000+ engineers. According to the case study on Devin’s website, Nubank says:

Devin provided an easy way to reduce the number of engineering hours for the migration. Rather than engineers having to work across several files and complete an entire migration task 100%, they could just review Devin's changes, make minor adjustments, then merge their PR.

Project specifics: migration of 6+ million lines of code, about 100 000 data classes, and 1000+ engineers. According to Cognition, Devin compressed an 18-month project into 2 months and delivered a 12-fold increase in engineering-hour efficiency. This is the strongest public argument in favor of Devin - and it works specifically for large-scale, repetitive migrations, not new product tasks.

According to the Cognition Performance Review 2025, over the past year Cognition itself assigned Devin about a third of the commits to its main repository, increased the share of autonomously created PRs that were successfully merged from 34% to 67%, and raised test coverage from the typical 50-60% to 80-90%.

What does Replit Agent 3 offer for 20 dollars, and where is the hidden price tag?

Key takeaways

Replit Agent 3 launched in September 2025, runs an autonomous session for up to 200 minutes on a single task, and at the end deploys a working website with a frontend, database, and authentication to its own hosting. The Core plan costs 20 dollars per month and includes 25 dollars in credits. The Pro plan costs 100 dollars per month and includes expanded credits up to 4000 dollars. Replit’s main focus is prototypes, first versions, and demos. The main risk is uncontrolled costs: one user burned through 1000 dollars in a week after Agent 3 launched.

Replit Agent lives inside the Replit environment - an online editor, hosting, and an AI agent in one browser window. You do not need to install anything locally or configure a domain and database separately.

According to the official Agent 3 announcement of September 10, 2025:

Agent 3 runs on its own for up to 200 minutes. It is 10x more autonomous, 3x faster, and 10x more cost-effective than Computer Use models.

That is what distinguishes it from Devin: Devin gives you a pull request, and you publish it to hosting yourself. Replit Agent gives you a working URL and tests what it built by itself.

Agent 3 now tests and fixes the app it is building, constantly improving your app behind the scenes.

According to Replit’s current pricing page, effective as of February 24, 2026:

PlanPriceWhat it includes
Core20 dollars per month25 dollars in included credits, up to 5 collaborators, basic autonomy
Pro100 dollars per monthTiered credits from 100 to 4000 dollars per month, 1-month rollover, up to 15 builders
TeamsBy requestTeam settings, security, audit

A note about Core at 20 dollars: the original price was 25, reduced on February 24, 2026 in Replit Pro Is Here.

Three autonomy modes in Agent 3:

  1. Economy - cheaper, slower, for simple tasks.
  2. Power - standard mode.
  3. Turbo (Pro and Enterprise) - 2 times faster, but requests cost up to 6 times more.

What is included in the Core subscription for 20 dollars:

  • An agent with autonomous sessions of up to 200 minutes.
  • App hosting on Replit infrastructure (free *.replit.app domain).
  • Built-in database.
  • Authentication (Replit Auth or Auth0 integration).
  • Real-time collaboration (like Google Docs for code).
  • Logs, monitoring, and metrics on one page.

Where Replit wins in real work:

  • A prototype in 30 minutes. From idea to working URL in the time of one meeting.
  • A complete toolkit in one place. No need to choose hosting, a database, or a frontend framework. Replit decides for you.
  • A demo for a client. Send the link, and the client sees a working product.

The original practical test evaluated Replit Agent 3. I wrote, “Make a landing page with an email collection form and an admin panel for viewing subscribers.” After 22 minutes, I had a working URL with a React frontend, admin authentication through Replit Auth, and a built-in Postgres database. Not perfect (the design was standard), but working and deployed. On the same prompt, Claude Code produced the code in 8 minutes - but then I had to set up Coolify, register a domain, and configure the database myself. In total, it took the same hour.

The main risk of Replit Agent 3 is uncontrolled costs. After its release in September 2025, users reported sharply increased bills.

The reason is simple: Agent 3 launches many sub-agents for each task (planner, code reviewer, tester, security reviewer), and each of them burns credits. Without an explicit account-level cap, a 20-dollar subscription turns into 200 dollars in overages in the same month.

Where Replit Agent falls short:

  • Complex architecture with multiple services, queues, and separate databases - Replit hits the limits of a single application.
  • An existing large repository that is not on Replit. Devin clones your GitHub and works there; Replit works best from within its own environment.
  • A product with a long lifespan.

If this is your first time putting together hosting, a database, and authentication by hand, Replit wins by a wide margin. If you already have infrastructure (like I do with Coolify), Claude Code wins because it gives you deeper control.

The choice of toolkit depends on the task: for a project with a long life, it is important to consider the advantages of owning your own set of tools over renting platforms.

Why use Cline if Claude Code and Cursor exist?

Key takeaways

Cline is a VS Code extension that turns the editor into an autonomous agent. You pay 0 dollars for the platform and bring your own API key (BYOK - Bring Your Own Key). It works with Claude Sonnet, GPT, Gemini, and local models through Ollama. Daily spending is 3-8 dollars in API tokens with active use. Its main architectural feature is the separation of Plan (planning) and Act (execution) modes. If you already have separately billed Anthropic or OpenAI API access, Cline can use it without a platform subscription. Compare the resulting token bill with subscription alternatives; an existing chat subscription alone does not establish that Cline is cheaper.

Cline appeared in fall 2024 as a fork of the Claude Dev project for VS Code and grew over a year and a half to 62 400 GitHub stars and 5+ million installs (according to the Cline GitHub repository as of the end of May 2026).

Cline’s architecture is Plan and Act. Two modes introduced in Cline v3.2 in January 2025:

  • Plan - the agent only discusses the plan: which files it will change, which commands it will run, and in what order. It does not edit or run anything. You read and adjust the plan.
  • Act - the agent starts working. It changes files, runs commands, and fixes errors. After each major step, it stops and asks for permission.

Cline is not itself a model - it is a layer on top of a model. You pay only for API calls.

What Cline costs in real work:

That means a month of ordinary work costs 10-20 dollars, active work costs 50-200 dollars, and professional work with long sessions costs 1000+ dollars in API fees. That is more expensive than the 20-dollar Claude Pro subscription (which includes Claude Code) for intensive use. BUT:

  • If you already have an API key from Anthropic, OpenAI, or Google for other tasks, Cline runs on top of it with no additional platform fee.
  • If you use local models through Ollama (Llama 3.3, Qwen 2.5 Coder), the Cline platform is free, and so is the model.
  • If your work is occasional (3-5 hours a day, not 8), it comes out cheaper than a subscription.

Where Cline beats Devin and Replit:

  • Control over every step. Plan mode lets you read the strategy BEFORE changes. Devin and Replit make decisions themselves.
  • Works in your VS Code. You do not need to learn a new interface or move to a cloud environment.
  • Choice of model. For a hard task, use Opus; for a simple one, Sonnet or a local model.

Where Cline falls short:

  • You cannot start it and go to sleep. Cline stops for permission more often than Devin. That is the price of control.
  • It does not publish by itself. Unlike Replit, after Cline you configure hosting yourself.
  • Harder setup for a beginner. API keys, model selection, and limits all need to be configured manually. Devin and Replit hide this behind a subscription.

Comparison table: prices, limits, what is included

Key takeaways

Devin Pro costs 20 dollars per month with a virtual machine and pull requests, and is better for migrations and routine tasks across many files. Replit Agent Core costs 20 dollars with hosting and publishing, and is better for prototypes and first product versions. Cline costs 0 dollars for the platform plus 10-100 dollars per month for API use for moderate work, and is better for long work sessions inside your own VS Code. Claude Code Pro costs 20 dollars and is better for a hybrid “dialogue + autonomy through scheduled tasks” mode.

All prices are as of the end of May 2026. Sources are the official pages for each product.

ParameterDevin 2.0 ProReplit Agent CoreCline (BYOK)Claude Code Pro
Platform price20 dollars/month20 dollars/month0 dollars20 dollars/month
API usageIncluded (9 ACU)25 dollars in included credits10-200+ dollars/monthIncluded
Virtual machineYes, isolatedYes, in the Replit environmentNo, runs in your VS CodeNo, local
Maximum session~2 hours at the start (9 ACU)Up to 200 minutesNo limit (with permissions)According to subscription hours
Automatic publishing to hostingNo (PR only)Yes, on *.replit.appNoNo
Model supportCognition onlyReplit Sonnet/GPT onlyClaude/GPT/Gemini/OllamaAnthropic only
Where it runsWeb interfaceReplit web interfaceVS CodeTerminal, VS Code, JetBrains, web
GitHub integrationNativeVia configurationThrough VS CodeNative
Best forMigrations, refactoring, dependency updatesPrototypes, first versions, demosControl, local developmentHybrid dialogue + autonomy
SWE-bench Verified45.8%Not published59.8% (with Sonnet 4.5)79.6% (Sonnet 4.6)

There are no public figures yet for Cline + Sonnet 4.6, but the expected value is higher because of the stronger model.

The main takeaway from the table: the difference between Devin and Replit is what you get at the end. Devin gives you a pull request - then you install it, test it, and publish it to hosting yourself. Replit gives you a working URL - then you decide what to do with it. Cline gives you code in your project - then you do what you did before. Claude Code gives you code plus control - then it is up to you, too.

Where does Devin really work in production, and where does it break?

Key takeaways

Devin works best on clearly described, repetitive tasks: dependency migrations, refactoring, API updates, writing tests, and generating documentation. On tasks where requirements change along the way or business context must be understood, Devin wastes time and often requires intervention.

In short: Devin is strong at boring tasks and weak at interesting ones. That means:

Where Devin really works:

  1. Dependency updates. “Upgrade React from 18 to 19, run the tests, and open a PR.” Clear, measurable, no interpretation.
  2. Schema migrations. “Rename the user_id field to customerId in all files and update the migrations.” Mechanical work.
  3. Lint fixes and formatting. “Run ESLint and fix all errors at the error level.”
  4. Test backfills. “Write unit tests for all functions in src/lib/billing/.”
  5. Code documentation. “Generate a README describing the endpoints from the existing code.”

Where Devin breaks down:

  1. New architecture. “Design a payment system” - Devin starts writing code before understanding the requirements.
  2. Long projects that evolve. “Build the product over a month, using user feedback as a guide.” Devin does not deeply remember context between sessions.
  3. Organizational context. “Do it the way we usually do it” - you have to explain what “usually” means.
  4. Complex debugging. If a bug appears only in production and under load, Devin cannot reproduce it.
  5. Creative interface design tasks. Devin cannot tell “beautiful” from “ugly” - it gives you the first thing that meets the requirement.

My team does not have 5 engineers with a ready backlog, and readers of this guide are rarely in that position either. For a solo entrepreneur, Devin pays off according to a different formula: if once a week or more you assign tasks like “update all dependencies / run tests / clear technical debt from a list of files,” the subscription makes sense. If such tasks come up once a quarter, it is cheaper to handle them manually in Claude Code in an hour.

Where does Replit Agent win on real tasks?

Key takeaways

Replit Agent wins on short tasks with quick delivery: a prototype in an evening, a demo for a client, a first product version to test a hypothesis, or an internal team tool. A combination of “authentication + database + frontend + publishing to hosting” comes together in one environment in 30-90 minutes. It is weaker on complex architectures with several services, projects with their own infrastructure, and integration with a production toolset that lives outside Replit.

The original experience describes three tasks for Replit Agent 3 over a week.

Task 1: a landing page with an email collection form and admin panel. Time: 22 minutes from prompt to working URL. Result: a React frontend, a form that writes to a database, and an admin panel that shows the list. Ready to hand to a client immediately.

Task 2: an internal data labeling tool. The team needed to label 500 rows of a dataset. Time: 35 minutes. Result: an interface with a list, label buttons, and CSV export. Deployed for 5 people through Replit Auth and used for 3 days.

Task 3: an attempt to build a recommendation engine for the team’s CRM. Time: 2 hours; not finished. Replit Agent hit a wall integrating with the external CRM (OAuth tokens + webhooks + long-running cron jobs were required). After a 200-minute session, it ended with a partial result, and I gave up.

If you have an hour before a client meeting and need to show “how this will work,” Replit Agent wins by a wide margin. Any other tool will require you to set up the environment yourself.

Where Replit Agent falls short:

  • Complex architecture with queues, separate services, and different databases.
  • Integration with an external stack that runs on your VPS, not in Replit.
  • A project with a long lifespan and user feedback: Replit gets off to a great start, but “moving off Replit” becomes a separate task.

I now use Replit Agent for prototypes. For projects that live longer than a month, I return to Claude Code + Coolify because I want complete infrastructure freedom.

Who is Cline better suited for than Devin or Replit Agent?

Key takeaways

Cline is a good fit for people who already have Anthropic or OpenAI API keys, want to stay in VS Code, want to read the agent’s plan before changes, and need to work with local models (for example, on sensitive projects). It is not a good fit for long autonomous tasks without supervision - the agent stops to ask permission; for prototypes with turnkey publishing; or for teams unfamiliar with API keys and model selection.

Cline is a tool for people who are already used to VS Code and do not want to leave it.

You do not need to install a new IDE, relearn shortcuts, or figure out the settings. Install the extension and you have an agent.

Real scenarios where I would choose Cline:

  1. I already have an Anthropic API key for other tasks. A separate Claude Code subscription is cheaper, but if I already bought a key for a bot or integration, Cline lets me get more from it.
  2. Working on sensitive projects. With local models through Ollama, the data does not leave your machine.
  3. I need full control over every step. Plan mode lets me read the strategy before changes.
  4. Occasional work. If I code 3-5 hours a day, the BYOK model comes out cheaper than a subscription.

Real scenarios where Cline falls short:

  1. A team without an engineering background. Setting up API keys, choosing a model, and setting limits can all intimidate a non-programmer.
  2. Long autonomous sessions. Cline stops for permission more often than Devin.
  3. A complete turnkey product. Cline does not publish by itself.

The main myth: “buy Devin and it will do everything for you”

Key takeaways

An autonomous agent is not magic or a substitute for thinking. It is a tool that works more independently the more precisely you describe the task. The difference between failure and success is how well the task is packaged.

After six months of working with autonomous agents, I learned one thing: they do not replace thinking; they amplify it. When I tell Devin, “update all the dependencies in the project to the latest major versions, run the tests, and open a PR,” it gets that done over the weekend. When I say, “improve the interactions on the homepage,” it wanders because it does not understand what “better” means in my context.

The practical formulation is this: the better you described your idea, and the more information and decisions the project contained, the more naturally the agent works step by step. If there is nothing there, it hallucinates.

This applies to all agents: Devin, Replit, Cline, Claude Code. The difference is not in their “intelligence,” but in how you package the task. More about packaging context is in the guide “What is context engineering”.

Which tool should you choose for 8 types of tasks?

Key takeaways

For repetitive migrations and dependency updates in a large repository, choose Devin. For prototypes and first versions of products with quick hosting deployment, choose Replit Agent 3. For work inside your own VS Code with control over every step, choose Cline. For a hybrid mode (dialogue + autonomy through skills and scheduled tasks), choose Claude Code. There is no one universal tool. Choose a tool for each type of task.

Here is how I would assign the tools to my tasks. I draw on my own experience.

Task typeBest toolWhy
Client demo prototype in an eveningReplit Agent 3Deployment is included; no infrastructure setup needed
Dependency migration across 50+ filesDevinBuilt for repetitive tasks; opens PRs
One landing page + admin panel for a new productClaude Code + CoolifyFull infrastructure control, low cost
Trial internal team toolReplit Agent 3Real-time collaboration, authentication out of the box
Complex microservices architectureClaude Code or ClineControl over key decisions
Test backfill in an existing repositoryDevinClear task, measurable result
Sensitive data that cannot leave the machineCline + OllamaLocal models; nothing leaves
Learning a new stack or frameworkClaude CodeDialogue provides quick feedback and explanations

This table is not dogma. At home, 80% of my tasks are done in Claude Code. I turn to Devin or Replit Agent selectively, when a type of task clearly goes beyond dialogue: either “a big migration I’d hate to do by hand” or “a client prototype in an evening with a ready URL.”

Cline and local models: costs and limits

Cline is a two-part proposition: the VS Code extension is free, while cloud model usage requires separately billed API access from the selected provider. A Claude or ChatGPT subscription does not pay those API charges. The local-model option through Ollama below avoids cloud API charges, but still needs suitable hardware.

Local models through Ollama. Install Llama 3.3 or Qwen 2.5 Coder on your own hardware and connect it to Cline. By SWE-bench Verified benchmarks, the quality is 2-3 times lower than Claude Sonnet 4.6, but it is enough for simple tasks. It does not handle complex ones.

More about the Qwen setup and its pros and cons is in the guide “Qwen 3.7-max vs Opus 4.7: how to set up a Claude Code competitor at 3 times less cost”.

What next: how to build a setup so autonomy is not a lottery

Key takeaways

An autonomous agent works predictably only when a methodology has been built around it. The tool itself accounts for 20% of the result; the other 80% comes from your context, rules, and way of packaging tasks.

The main conclusion after two weeks of working with the three tools:

  • Devin pays off if you have five clearly described tasks a week. Otherwise, it is expensive as a subscription and inconvenient to integrate.
  • Replit Agent pays off if you make a lot of prototypes and quick demos. Deployment is included, and the time from idea to URL is cut dramatically.
  • Cline is the choice for experienced users who want control and already have an API key.
  • Claude Code remains the basic tool for entrepreneurial vibe coders. It is good at dialogue, flexible with skills, and cheap as a subscription.

But the main investment is not choosing a tool; it is building a methodology around it. When you know how to package a task into context, how the business/ folder is organized, and how skills and hooks work, any tool delivers stable results. Without a methodology, Devin at 500 dollars will deliver the same result as Claude Code at 20.

For further work with models, you can go to Ailoot.

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Questions about Devin, Replit Agent, and Cline in 2026: Which to Choose

Does a ChatGPT or Claude subscription pay for Cline API tokens?

No. The cloud-API setup described here uses separately billed API access. Add its token charges to your comparison; owning a chat subscription does not by itself make Cline the cheapest option.

Can I use Cline without cloud API charges?

The article describes connecting a local model through Ollama. Cline itself is free, but you provide the hardware and should test whether the local model can complete your tasks before relying on it.

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