Roo Code vs Cline used to be a close comparison between two Cline-family AI coding agents for VS Code. In June 2026, the practical answer is simpler: Cline is the safer default for most new users because Roo Code was shut down and its GitHub repository was archived on May 15, 2026.
That does not make Roo Code irrelevant. Roo Code popularized a useful mode-driven workflow: Architect for planning, Code for implementation, Debug for troubleshooting, Ask for answers, and Custom Modes for team-specific behavior. If you are comparing Roo Code and Cline because you liked that structure, the right comparison is now Cline vs Roo-style community forks such as ZooCode as much as Cline vs the archived Roo Code project.
This guide gives the practical answer first, then compares the workflows, context handling, model flexibility, review controls, and frontend fit. We build Frontman, so the frontend/browser section includes a clear disclosure where our product fits and where it does not. Frontman is not a direct replacement for Cline or Roo Code; it solves a narrower browser-based frontend editing problem.
Source status checked: June 15, 2026. Product claims below are based on the public Cline GitHub repository, Roo Code docs, and Roo Code GitHub repository. Author: Danni Friedland, co-founder of Frontman.
Methodology and Disclosure
This is a source-backed workflow comparison, not a fresh hands-on benchmark. We did not run the same task through Roo Code and Cline with exported prompts, timing, screenshots, and diffs for this article.
The recommendation is based on four inputs:
- Official Cline public repository and README, checked June 15, 2026.
- Official Roo Code docs and archived GitHub repository, checked June 15, 2026.
- Search Console data showing repeated impressions for
roo code vs cline,cline vs roo code, and related comparison queries. - Frontman’s own experience building browser-aware frontend tooling, used only in the section that compares IDE agents with browser-native frontend agents.
Evaluation criteria: current maintenance status, workflow model, approval/review controls, context handling, provider flexibility, ecosystem breadth, security posture, and fit for frontend visual editing.
Disclosure: we build Frontman. That creates a conflict of interest in the frontend/browser section, so the core Roo Code vs Cline recommendation is intentionally simple: for general-purpose developer IDE workflows, Cline is the safer default because Roo Code is archived.
Roo Code vs Cline: TL;DR
- Choose Cline for most new projects. It is active, broadly documented, and now spans VS Code, CLI, SDK, JetBrains, plugins, MCP servers, and automation workflows.
- Choose a Roo-style fork only if you specifically want modes. Roo Code’s main advantage was role-based modes: Architect, Code, Ask, Debug, and Custom.
- Do not adopt archived Roo Code without a maintenance plan. Its docs say the extension was shut down on May 15, 2026, and its GitHub repo is read-only.
- Both tools fit developer-led IDE workflows. They are strongest when an engineer is in or around the code editor and reviewing diffs.
- Neither is primarily a browser-native frontend editing tool. If your pain is changing visible UI in an existing app, compare Cline/Roo with browser-aware tools like Frontman or Stagewise.
Quick Comparison
| Factor | Cline | Roo Code | Better fit |
|---|---|---|---|
| Current status | Active open-source agent | Shut down and archived May 15, 2026 | Cline |
| Core workflow | Plan and Act, approvals, diffs, commands | Mode-driven VS Code workflow | Cline for adoption, Roo for mode concept |
| Modes | Plan mode and Act mode | Architect, Code, Ask, Debug, Custom | Roo Code |
| Human approval | File edits and terminal commands require approval unless auto-approve is enabled | Permission-based workflow, Auto-Approve available | Tie |
| Context handling | Reads project structure, edits across files, monitors errors | File system access, terminal control, multi-step workflows | Tie historically; Cline now safer |
| Terminal/commands | Strong: Bash commands, long-running process monitoring, CLI | Terminal control in VS Code extension | Cline |
| Model flexibility | Anthropic, OpenAI, Google, OpenRouter, Bedrock, Azure, Vertex, Ollama, LM Studio, OpenAI-compatible APIs | Model-agnostic, many providers | Tie historically |
| MCP/plugins | MCP servers, SDK plugins, lifecycle hooks | MCP servers | Cline |
| CLI/headless | CLI, headless mode, JSON output, CI/CD scripting | VS Code extension focus | Cline |
| JetBrains | Public JetBrains plugin listed by Cline | VS Code extension focus | Cline |
| Team workflows | Kanban, multi-agent teams, scheduled agents, messaging integrations | Custom modes and orchestrator-style mode coordination | Cline for product breadth, Roo for mode structure |
| Frontend visual editing | Can edit frontend files, but does not start from clicked UI | Same | Frontman/Stagewise category |
What Cline Does Better
Cline is no longer only a VS Code extension. The current Cline GitHub README describes it as “the open source coding agent in your IDE and terminal,” with a CLI, VS Code extension, JetBrains plugin, SDK, Kanban workflow, and automation features.
That matters because Cline vs Roo Code is not only about which extension feels better inside VS Code. It is also about ecosystem risk. If you are standardizing a team workflow in 2026, Cline has the clearer maintenance path.
Plan and Act Keeps Work Reviewable
Cline’s core workflow is Plan and Act. In Plan mode, the agent explores the codebase, asks questions, and proposes a strategy. In Act mode, it executes the plan. The important part is control: file edits and terminal commands require approval unless you intentionally enable auto-approve.
That makes Cline easier to recommend for teams that want AI help without handing an agent unrestricted write access. The workflow matches how many developers already think: discuss plan, approve implementation, review diff, repeat.
Broader Product Surface
Cline now covers more than editor chat:
- CLI for terminal use and headless scripting.
- VS Code extension for IDE work.
- JetBrains plugin for IntelliJ IDEA, PyCharm, WebStorm, GoLand, and related IDEs.
- SDK for building custom agents and integrations.
- MCP servers and plugins for external tools.
- Kanban and multi-agent workflows for parallel tasks.
- Scheduled agents and messaging integrations for recurring automation.
Roo Code had a strong VS Code story, but Cline now has a broader platform story. If you care about CI/CD, terminal automation, JetBrains, or building internal tools around an agent SDK, Cline is the better fit.
Model Flexibility Is Explicit
Cline is not locked to a single provider. Its public README section Works With Every Model lists Anthropic, OpenAI, Google, OpenRouter, Vercel AI Gateway, AWS Bedrock, Azure, GCP Vertex, Cerebras, Groq, Ollama, LM Studio, and any OpenAI-compatible API.
That is important for BYOK teams. You can optimize for model quality, budget, privacy posture, local models, or provider availability without changing the agent workflow every time the model market shifts.
Diffs, Checkpoints, and Command Feedback
Cline says it edits code across your project, monitors linter/compiler output, and shows changes as diffs you can review, modify, or revert. Its command execution also watches terminal output, including long-running development servers.
For normal engineering work, this is the useful kind of autonomy: not “blindly rewrite the repo,” but “make coordinated changes and show me exactly what changed.”
What Roo Code Did Better
Roo Code was compelling because it made agent behavior feel more explicit. Instead of one general agent mode, Roo Code organized work around roles.
The public Roo Code docs describe Roo Code as an open-source AI coding agent for VS Code with file system access, terminal control, multi-step workflows, MCP servers, and model-agnostic provider support. Its standout idea was modes.
Modes Were the Main Differentiator
Roo Code’s README modes section listed:
- Architect Mode: plan systems, specs, migrations, and higher-level design.
- Code Mode: everyday implementation, edits, and file operations.
- Ask Mode: answers, explanations, documentation, and repo questions.
- Debug Mode: trace issues, add logs, isolate root causes.
- Custom Modes: specialized behavior for a team or workflow.
This structure is useful because coding work is not one task. Planning a migration, debugging a production bug, explaining a subsystem, and writing a component require different behavior. Roo Code made that difference visible in the UI.
Custom Modes Were Team-Friendly
Custom modes were Roo Code’s strongest team idea. A team could create a mode for security review, another for frontend implementation, another for docs, and another for architecture planning. That gives teams a way to encode process without relying only on prompt discipline.
Cline has rules and skills, which solve a similar problem from another angle. Roo Code’s advantage was ergonomics: modes are easy to understand and easy to teach.
The Shutdown Changes the Recommendation
The problem is not Roo Code’s concept. The problem is product status. The Roo Code docs state that the extension was shut down on May 15, 2026, and the GitHub repository is archived as read-only.
That changes the recommendation sharply. If you already use Roo Code internally, you can keep doing so with a maintenance plan. If you are choosing a tool today, do not ignore the archive banner. Evaluate ZooCode or another community fork if Roo’s mode system is what you want.
Key Differences
Modes vs Plan and Act
Roo Code’s mental model is role-based: pick Architect, Code, Ask, Debug, or Custom depending on the job. Cline’s mental model is workflow-based: plan first, then act with approval.
Neither model is inherently better. They optimize for different habits.
Use Roo-style modes if your team wants the agent to behave differently for architecture, debugging, implementation, and Q&A. Use Cline if you want a simpler review loop where the agent proposes a plan, then executes with approval.
Workflow Control and Approvals
Both tools understand the need for control. Cline emphasizes human-in-the-loop approval for file edits and commands, with auto-approve available when you trust the workflow. Roo Code also had permission controls and Auto-Approve, with the docs encouraging users to become more autonomous as they got comfortable.
For teams, the safest answer is not “auto-approve everything.” It is to start with approvals on, inspect diffs, and only loosen controls for low-risk tasks.
Context Handling in Large Repositories
Both tools are file-aware agents. They read repository structure, inspect relevant files, and make multi-step changes. Roo Code’s docs explicitly framed it as useful for deep or highly iterative development work. Cline describes coordinated cross-file edits, error monitoring, and checkpoints.
For large repos, the difference is less about raw context and more about process. Cline’s Plan and Act loop helps prevent runaway edits. Roo-style modes help force the model into a specific job: architect before coding, debug before changing, ask before assuming.
Model Flexibility and Cost
Both tools were built around model flexibility. Cline’s current provider list is especially explicit, including OpenRouter and local-model routes such as Ollama and LM Studio. Roo Code’s docs encouraged experimentation across providers and models.
This matters because AI coding cost is not only subscription price. Expensive models often solve tasks faster, but they can burn tokens quickly. Cheaper models can be fine for simple edits and poor for architecture-heavy tasks. A good agent workflow lets you switch models without switching tools.
Security, Privacy, and Governance
Cline’s strongest governance story is reviewability: approvals, diffs, checkpoints, rules, skills, and provider choice. It also has SDK/plugin hooks that can support policy enforcement or internal tooling.
Roo Code’s strongest governance idea was Custom Modes: encode team-specific boundaries and task types. That is useful, but archived status makes it risky as a new standard unless a maintained fork carries the same ideas forward.
For enterprise code, neither agent removes the need for normal controls: repo permissions, secret scanning, branch protection, CI, code review, dependency review, and human ownership of merge decisions.
CLI, JetBrains, and Ecosystem Breadth
Cline wins here. Its current public positioning includes CLI, headless scripting, CI/CD workflows, SDK, JetBrains plugin, Kanban, multi-agent teams, scheduled agents, and messaging integrations.
Roo Code was primarily a VS Code extension. That narrower focus made it simpler, but it also makes the shutdown harder to work around.
Frontend and Browser Context
Cline and Roo Code can both edit frontend code. They can read React components, update CSS, run builds, and respond to errors. But they are still IDE-first agents. They start from files, prompts, and terminal output.
Frontend work often starts somewhere else: the running page. You see a card overflow, a button misalign, a mobile menu cover content, or a design token render differently than expected. That is the runtime context gap: the difference between what code says and what the browser actually renders.
If your main problem is “which VS Code agent should help my developers write code,” Cline is the practical answer. If your main problem is “how do PMs, designers, or frontend developers click the broken UI and get a reviewable source edit,” compare browser-aware tools like Frontman and Stagewise.
Which Should You Choose?
| Use case | Recommendation | Why |
|---|---|---|
| New user choosing today | Cline | Active, broader ecosystem, clearer maintenance path |
| You specifically want Roo’s mode workflow | ZooCode or another Roo-style fork | Roo Code itself is archived |
| Simple VS Code agent workflow | Cline | Plan and Act is easy to understand |
| Architecture-heavy work | Cline or Roo-style fork | Cline has Plan mode; Roo-style modes make architecture explicit |
| Debugging-heavy work | Cline or Roo-style fork | Cline can run commands; Roo’s Debug mode is a useful mental model |
| Team-specific agent behavior | Cline rules/skills or Roo-style Custom Modes | Both patterns can encode process |
| CLI/headless automation | Cline | Official CLI and headless workflows |
| JetBrains team | Cline | Public JetBrains plugin listed |
| Browser-visible frontend edits | Frontman/Stagewise category | IDE agents do not start from clicked UI |
| Enterprise code validation layer | Separate review tools such as Qodo | Validation/review is adjacent, not a direct Roo/Cline replacement |
The short version: use Cline unless you have a specific reason to preserve the Roo Code mode model. If modes are the reason, evaluate a maintained community fork rather than adopting archived Roo Code directly.
Where Frontman Fits
Frontman is not a Roo Code or Cline clone. It sits in a different part of the workflow, and it should not be evaluated as a general-purpose IDE agent replacement.
Cline and Roo Code are developer-first agents. You work in an IDE or terminal, the agent reads files, and the developer reviews changes. That is the right workflow for backend code, refactors, scripts, tests, and many frontend changes.
Frontman starts from the running app in the browser. You click an element, describe the visual change, and Frontman maps that browser context back to source files. It is built for frontend work where DOM, computed styles, responsive layout, and framework runtime context matter.
That means Frontman is relevant if your real comparison is not “Roo Code vs Cline,” but “IDE agent vs browser-aware frontend agent.” Examples:
- A designer wants to adjust spacing without opening VS Code.
- A PM wants to change product copy and submit a reviewable diff.
- A frontend developer wants the agent to see the broken rendered state before editing code.
- A team wants visual UI edits with developer review instead of no-code overrides.
If that is your use case, read the browser-aware AI tools guide or the frontend coding agent comparison. If you are choosing a general-purpose coding agent for developers, Cline is the more direct choice.
Alternatives to Consider
- ZooCode: community fork for users who want Roo-style behavior after Roo Code’s shutdown.
- Continue.dev: IDE assistant and AI checks workflow; good to compare if autocomplete/review is more important than agent autonomy.
- Kilo Code: another Cline-family tool, relevant if you are comparing Cline descendants.
- Aider: terminal-native pair programmer with strong git workflow.
- Cursor: AI IDE for developers who want autocomplete, chat, and agent workflows in one editor.
- Claude Code: terminal-native coding agent for engineers comfortable working from shell and git.
- Frontman: browser-native frontend agent for reviewable UI edits in existing apps.