How to Install and Configure Cline to Automate 80% of Your Dev Tasks

Step-by-step guide to install and configure Cline in VS Code: API keys, model selection, custom instructions, 5 practical workflows, and productivity tips.

Cline is the most powerful AI agent available in VS Code in 2026, but its full power only emerges when properly configured. A default installation will give you decent results. An optimized configuration will save you 80% of time on repetitive tasks. This detailed guide covers every step, from installation to advanced automation, with concrete workflows tested in production.

Step 1: Install Cline in VS Code

Installing Cline is straightforward but worth following step by step to avoid common mistakes.

Prerequisites

Before installing Cline, verify your environment meets these conditions:

• VS Code version 1.85 or higher
• Node.js version 18 or higher
• A stable internet connection
• An account with an AI model provider (Anthropic, OpenAI, Google, or Ollama for local)

Installation procedure

1. Open VS Code
2. Go to the extensions marketplace (Ctrl+Shift+X or Cmd+Shift+X on Mac)
3. Search for "Cline" in the search bar
4. Click "Install" on the Cline extension
5. After installation, the Cline icon appears in the sidebar (robot icon)
6. Click the icon to open the Cline panel

Alternative installation via CLI

For developers who prefer the command line:

code --install-extension saoudrizwan.claude-dev

Note: the extension ID still contains "claude-dev", the project's former name, for compatibility reasons.

Installation verification

After installation, you should see:

• The Cline icon in the sidebar
• The Cline panel at the bottom right with an input field
• A "Welcome to Cline" message on first open

If the icon doesn't appear, restart VS Code. If the problem persists, see the troubleshooting section at the end of this article.

Step 2: Configure API keys

Cline needs an API key to communicate with language models. Here's the configuration for each provider.

Anthropic Claude (recommended)

Claude 3.5 Sonnet is the model that produces the best results with Cline in April 2026. Configuration is as follows:

1. Create an account at console.anthropic.com
2. Navigate to "API Keys" in the dashboard
3. Click "Create Key" and copy the key (it will only be displayed once)
4. In Cline, open settings (gear icon)
5. Select "Anthropic" as the provider
6. Paste your API key in the corresponding field
7. Select "claude-3-5-sonnet-20241022" as the model

Security tip: Never commit your API key to Git. Add it to VS Code environment variables or your operating system's keychain.

OpenAI GPT-4o

A solid alternative, especially if you already use the OpenAI API:

1. Create an account at platform.openai.com
2. Generate an API key in "API Keys"
3. In Cline, select "OpenAI" as the provider
4. Paste the key and choose "gpt-4o" as the model

Google Gemini

The most economical option for projects with high token volume:

1. Create an account at aistudio.google.com
2. Generate an API key
3. In Cline, select "Google Gemini" as the provider
4. Choose "gemini-1.5-pro" as the model

Local models via Ollama

For sensitive projects or developers without permanent connectivity:

1. Install Ollama: curl -fsSL https://ollama.com/install.sh | sh
2. Download a model: ollama pull codellama:34b
3. In Cline, select "Ollama" as the provider
4. Leave the default URL (http://localhost:11434)
5. Select the downloaded model

Provider	Code quality	Cost	Latency	Privacy
Anthropic Claude 3.5 Sonnet	Excellent	Medium	Low	Data sent to Anthropic
OpenAI GPT-4o	Very good	Medium	Low	Data sent to OpenAI
Google Gemini 1.5 Pro	Good	Low	Medium	Data sent to Google
Ollama (CodeLlama 34B)	Fair	Free	Variable	Data stays local

Step 3: Model selection and advanced settings

The choice of model isn't just about budget. Each model has different strengths that influence Cline's task outcomes.

Which model for which use case?

• Claude 3.5 Sonnet: best for complex tasks (refactoring, architecture, subtle debugging). Superior context understanding. This is the recommended default choice.
• GPT-4o: good for creative generation tasks (UI, documentation, variable names). Slightly faster latency.
• Gemini 1.5 Pro: excellent for very large context tasks (analyzing big files, complete documentation). 2M token context window.
• Ollama local: suited for simple tasks on sensitive code (internal scripts, infrastructure configuration). Lower quality but total privacy.

Advanced configuration parameters

In Cline settings, adjust these values to optimize results:

Parameter	Recommended value	Effect
Max tokens per response	8192	More complete responses, fewer cutoffs
Temperature	0 (or 0.1)	More deterministic code, fewer hallucinations
Auto-approve read	Enabled	Cline reads files without confirmation
Auto-approve write	Disabled	You validate every modification
Auto-approve terminal	Disabled	You validate every command
Context files	20-30	Number of context files to include

Step 4: Configure Custom Instructions

Custom instructions are the secret to going from decent results to excellent ones. They let you teach Cline the specific conventions of your project.

The .clinerules file

Create a .clinerules file at the root of your project. This file is read by Cline at the start of every task. Here's a complete template:

# Project rules

## Code conventions
- Use strict TypeScript (no `any`)
- Prefer named exports over default exports
- Naming: camelCase for variables/functions, PascalCase for components/types
- Component files: PascalCase.tsx
- Utility files: camelCase.ts

## Project structure
- React components in src/components/
- Custom hooks in src/hooks/
- Utilities in src/lib/
- Shared types in src/types/
- API routes in src/app/api/

## Tech stack
- Framework: Next.js 14 (App Router)
- Styling: Tailwind CSS
- Database: Prisma + PostgreSQL
- Testing: Vitest + Testing Library
- Auth: NextAuth.js v5

## Preferences
- Always add explicit types, no implicit inference
- Prefer Server Components by default, Client Components only when necessary
- Use Server Actions for mutations
- Include unit tests for every new function
- Comment only if the code isn't self-documenting

## Things to avoid
- Do not use `eslint-disable`
- Do not install new dependencies without asking
- Do not modify configuration files without approval
- Do not use `@ts-ignore`

Why custom instructions are essential

Without .clinerules, Cline generates generic code that doesn't necessarily respect your conventions. With this file, the agent:

• Follows your folder structure without guessing
• Respects your technology choices (no styled-components if you use Tailwind)
• Avoids the anti-patterns you've defined
• Produces code consistent with the existing codebase

Step 5: Five practical workflows to automate

Here are five concrete workflows you can hand off to Cline today to save considerable time.

Workflow 1: Complete feature scaffolding

Sample prompt:

Create a [name] module with:
1. Prisma schema in prisma/schema.prisma (add to existing schema)
2. CRUD API route in src/app/api/[name]/route.ts
3. List component with pagination in src/components/[Name]List.tsx
4. Form component in src/components/[Name]Form.tsx
5. TypeScript types in src/types/[name].ts
6. Unit tests in __tests__/[name].test.ts

Estimated savings: 85% of time (2h manually vs 15-20 min with Cline)

Workflow 2: Test generation for existing code

Sample prompt:

Analyze the file [path] and generate complete unit tests with Vitest.
Cover:
- Nominal cases for each exported function
- Edge cases (null values, empty arrays, boundaries)
- Error cases and expected exceptions
Use necessary mocks for external dependencies.

Estimated savings: 80% of time (1h30 manually vs 15 min with Cline)

Workflow 3: Code migration to a new pattern

Sample prompt:

The src/api/ folder uses the old REST pattern with Express.
Refactor each route to the Next.js App Router pattern in src/app/api/.
For each route:
1. Create the corresponding route.ts file with GET, POST, etc. methods
2. Convert Express middlewares to Next.js middleware
3. Adapt request/response types
4. Delete old files after verification
Do not modify files outside src/api/.

Estimated savings: 70% of time (4h manually vs 1h15 with Cline, including iterations)

Workflow 4: Documentation and JSDoc comments

Sample prompt:

Add JSDoc comments to all exported functions in the src/lib/ folder.
Each JSDoc must include:
- A clear description of the function
- @param with type and description for each parameter
- @returns with the return type and description
- @throws for possible exceptions
- A usage example if the function isn't trivial
Do not modify code logic, only comments.

Estimated savings: 90% of time (3h manually vs 15 min with Cline)

Workflow 5: Automated code review

Sample prompt:

Analyze the changes from the last commit (git diff HEAD~1) and provide:
1. A summary of the changes
2. Potential bugs or logic errors
3. Possible security issues
4. Project convention violations
5. Improvement suggestions
Be critical and constructive.

Estimated savings: 60% of time (human review is still necessary, but Cline pre-filters obvious issues)

Tips for maximum productivity

Beyond configuration, here are the best practices that make the difference between mediocre and exceptional use of Cline.

1. Work on separate Git branches

Before each Cline task, create a branch:

git checkout -b cline/[task-name]

This lets you easily roll back if Cline's modifications aren't satisfactory. Merge only after review.

2. Start small and iterate

Don't ask Cline to rebuild your entire application. Break tasks into atomic subtasks. A precise instruction on a limited scope gives better results than a vague instruction on a broad scope.

3. Provide explicit context

The more context you give, the better the result. Reference specific files, cite conventions, mention dependencies. For example:

Bad: "Add an auth system."

Good: "Add authentication with NextAuth.js v5 in src/app/api/auth/[...nextauth]/route.ts.
Use the Google OAuth provider configured in .env with GOOGLE_CLIENT_ID and GOOGLE_CLIENT_SECRET.
The User model already exists in prisma/schema.prisma.
Follow the existing pattern in src/app/api/auth/session/route.ts."

4. Validate changes before moving on

Don't let Cline chain tasks without checking. After each modification, run tests and verify the result. An uncorrected error at the beginning propagates and becomes more complex in subsequent iterations.

5. Use prompt templates

Create a prompt template file in your project (e.g.: .cline/prompts/) for recurring tasks. This ensures consistency and speeds up the start of each session.

6. Monitor token consumption

Regularly check your provider dashboard (Anthropic, OpenAI) to track consumption. If a task consumes an abnormally high number of tokens, it's often a sign of too-broad context or too-vague instructions. Reduce the scope and rephrase.

Troubleshooting: common problems and solutions

Problem	Probable cause	Solution
Cline doesn't respond	Invalid or expired API key	Regenerate the key and update in settings
Responses cut off	Max tokens too low	Increase to 8192 in settings
Code doesn't follow conventions	No .clinerules file	Create the file with your conventions
Cost too high	Too much context, expensive model	Reduce context, switch to GPT-4o or Gemini
Cline modifies wrong files	Ambiguous instruction	Specify file paths in the prompt
Compilation errors in a loop	Cline iterates on an error it doesn't understand	Take over manually, fix, and relaunch
Excessive slowness	Project too large	Limit context to relevant folders

FAQ

How much does Cline cost per month?

The extension is free, but API tokens are billed. For daily use with Claude 3.5 Sonnet, expect 50 to 150 EUR/month depending on intensity. With GPT-4o, it's 40-120 EUR/month. With Gemini 1.5 Pro, 20-60 EUR/month. With Ollama locally, it's free but quality is lower.

Should I use Cline instead of Copilot or Cursor?

No, Cline is complementary. Use Copilot or Cursor for quick inline completion, and Cline for autonomous tasks (scaffolding, testing, refactoring, debugging). To understand the differences, read our GitHub Copilot vs Cursor vs Cline comparison.

Can I use Cline on an existing project safely?

Yes, provided you follow two rules: work on a separate Git branch and use "Manual confirmation" mode for the first sessions. Once you're confident in Cline's behavior, you can switch to "Auto-approve read" mode.

Is the .clinerules file committed to Git?

Yes, it's recommended. The .clinerules file is part of the project and should be shared with the team. This way, every developer benefits from the same conventions. Add it to Git like any other configuration file.

Does Cline work with monorepos?

Yes, but with precautions. In a monorepo, Cline can lose track between packages. Specify the relevant package in your instruction and limit context to the pertinent subdirectory. Using Turborepo or Nx workspaces can help Cline understand the structure.

Update — April 2026

This guide has been updated with the latest Cline developments:

• .clinerules file: now natively supported, replacing the old manual custom instructions system. The file is automatically read at the start of every task.
• Plan mode: Cline can now present an execution plan before modifying files, reducing the risk of undesired actions.
• Improved Ollama support: integration with Ollama has been optimized, with native support for Llama 3, CodeLlama, and DeepSeek Coder models.
• Task history: Cline now keeps a history of completed tasks, allowing you to resume an interrupted conversation.
• Git integration: Cline can create commits automatically after a successful task, with a commit message generated from the changes made.

If you're discovering Cline, start by reading our complete Cline overview before coming back to this configuration guide. To compare Cline with other tools on the market, check out our article on Cursor vs Copilot.