Cli 2.0 docs (#9060)

* docs: restructure CLI reference to web-friendly format

Replace embedded man page format with structured markdown sections
for better readability. Simplify description, reorganize commands and
options into clear categories, and update Next Steps navigation cards.

* Add ACP editor integrations documentation (#9036)

* Add ACP editor integrations documentation with JetBrains and Neovim video demos

* Add Model Orchestration documentation with --config and --thinking flags

- Document --config and --thinking flags in CLI reference
- Create new model-orchestration.mdx sample page
- Add patterns for CI/CD review, task phase optimization, and multi-model consensus
- Link to production GitHub Actions workflow
- Update samples overview with new card
- Update docs navigation

* Add Worktree Workflows documentation with --cwd flag

- Document --cwd flag in CLI reference
- Create comprehensive worktree-workflows.mdx sample page
- Add patterns for parallel execution and cross-worktree piping
- Include real-world examples and best practices
- Add CLI section to features/worktrees.mdx for discoverability
- Update samples overview and navigation
- Cross-link between CLI and VS Code worktree docs

* Remove broken image references from worktrees documentation

- Remove worktrees-overview.png Frame (image not available)
- Remove worktrees-merge.png Frame (image not available)
- Documentation remains fully functional with comprehensive text explanations

* Remove accidentally committed local test file

- Delete src/test/verify-platformio-mcp.ts which was causing CI failures
- File contained TypeScript errors and hardcoded local paths
- Was meant for local testing only, should not have been committed

* Add native JetBrains plugin recommendation to ACP docs

- Add prominent Note recommending native JetBrains plugin
- Link directly to JetBrains installation section
- Position ACP setup as an alternative approach
- Keep all existing ACP content and video

* docs: refine CLI reference formatting and ACP title

Improve CLI reference readability with clearer headings and descriptions, and clarify the ACP editor integration page title for better discovery.docs: refine CLI reference formatting and ACP title

Improve CLI reference readability with clearer headings and descriptions, and clarify the ACP editor integration page title for better discovery.

* Fix CLI 2.0 syntax in model-orchestration.mdx

- Updated issue analysis pipeline to use shell variables for passing context
- Added explanatory note about why direct piping doesn't work
- Corrected example to complete each phase before starting the next
- All examples now use proper CLI 2.0 syntax

* Completely rewrite cli-reference.mdx with accurate CLI 2.0 information

- Removed all outdated CLI 1.0 content (instance management, Cline Core architecture, gRPC references)
- Added accurate CLI 2.0 commands: task, history, config, auth, update, version, dev
- Corrected all command flags and options based on actual man page
- Added proper examples for all commands
- Included environment variables documentation (CLINE_DIR, CLINE_COMMAND_PERMISSIONS)
- Added shell completion instructions
- Removed incorrect three-layer architecture description
- All content now matches cli/man/cline.1.md source of truth

Fixes outdated documentation issue mentioned in PR#9036

* Fix MDX syntax error in cli-reference.mdx

- Replace angle bracket URLs with proper markdown links
- MDX parser was interpreting <https://...> as invalid HTML tags
- Now uses [url](url) format which is proper MDX syntax

Fixes deployment validation error

---------

Co-authored-by: Renee Huang <renee@cline.bot>

* docs: enhance interactive mode documentation with structured settings overview

* docs: restructure and improve CLI reference documentation

- Reorganize command structure with clearer global options section
- Add mode behavior table explaining interactive vs plain text modes
- Improve option descriptions with consistent formatting
- Add horizontal rules between sections for better readability
- Document timeout option and environment variables more clearly
- Add Tips & Tricks section for common usage patterns
- Update frontmatter description to reflect content changes

* docs: improve ACP editor integrations page with editor descriptions

- Update page title to be more concise ("ACP: Editor Integrations")
- Remove redundant H1 header that duplicated the title
- Add introductory descriptions for JetBrains, Neovim, and Zed sections
- Rename "Zed Editor" section to just "Zed" for consistency

* docs: expand CLI reference with modes of operation and agent behavior

* Update docs/cline-cli/cli-reference-deprecated.mdx

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

---------

Co-authored-by: Tony Loehr <turingxo@gmail.com>
Co-authored-by: Renee Huang <renee@cline.bot>
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
This commit is contained in:
Juan Pablo Flores
2026-02-03 11:29:15 -08:00
committed by GitHub
co-authored by Copilot Tony Loehr Renee Huang
parent 11da3ee89e
commit b57aefb5a1
15 changed files with 3153 additions and 623 deletions
+8 -21
View File
@@ -100,21 +100,14 @@ jobs:
# Install the Cline CLI
sudo npm install -g cline
- name: Create Cline Instance
- name: Configure Cline CLI
if: steps.detect.outputs.hit == 'true'
env:
OPENROUTER_API_KEY: ${{ secrets.OPENROUTER_API_KEY }}
CLINE_DIR: ${{ runner.temp }}/cline
run: |
# Create instance and capture output
INSTANCE_OUTPUT=$(cline instance new 2>&1)
# Parse address from output (format: " Address: 127.0.0.1:36733")
CLINE_ADDRESS=$(echo "$INSTANCE_OUTPUT" | grep "Address:" | grep -oE '([0-9]{1,3}\.){3}[0-9]{1,3}:[0-9]+')
echo "CLINE_ADDRESS=$CLINE_ADDRESS" >> $GITHUB_ENV
# Configure API key
cline config set open-router-api-key=$OPENROUTER_API_KEY --address $CLINE_ADDRESS -v
cline config set open-router-api-key=$OPENROUTER_API_KEY -v
- name: Download analyze script
if: steps.detect.outputs.hit == 'true'
@@ -135,7 +128,7 @@ jobs:
run: |
set -euo pipefail
RESULT=$(./analyze-issue.sh "${ISSUE_URL}" "Analyze this issue. The user asked: ${COMMENT}" "$CLINE_ADDRESS")
RESULT=$(./analyze-issue.sh "${ISSUE_URL}" "Analyze this issue. The user asked: ${COMMENT}")
{
echo 'result<<EOF'
@@ -180,8 +173,7 @@ This tells the workflow where to download the analysis script from your reposito
</Warning>
The workflow will look for new or updated issues, check for `@cline` mentions, and then
start up an instance of the Cline CLI to dig into the issue, providing feedback
as a reply to the issue.
start up the Cline CLI to dig into the issue, providing feedback as a reply to the issue.
### 2. Configure API Keys
@@ -246,19 +238,16 @@ if [ -z "$1" ]; then
echo "Usage: $0 <github-issue-url> [prompt] [address]"
echo "Example: $0 https://github.com/owner/repo/issues/123"
echo "Example: $0 https://github.com/owner/repo/issues/123 'What is the root cause of this issue?'"
echo "Example: $0 https://github.com/owner/repo/issues/123 'What is the root cause of this issue?' 127.0.0.1:46529"
echo "Example: $0 https://github.com/owner/repo/issues/123 'What is the root cause of this issue?'"
exit 1
fi
# Gather the args
ISSUE_URL="$1"
PROMPT="${2:-What is the root cause of this issue?}"
if [ -n "$3" ]; then
ADDRESS="--address $3"
fi
# Ask Cline for its analysis, showing only the summary
cline -y "$PROMPT: $ISSUE_URL" --mode act $ADDRESS -F json | \
cline -y "$PROMPT: $ISSUE_URL" --mode act -F json | \
sed -n '/^{/,$p' | \
jq -r 'select(.say == "completion_result") | .text' | \
sed 's/\\n/\n/g'
@@ -311,12 +300,10 @@ The workflow (`cline-responder.yml`):
1. **Triggers** on issue comments (created or edited)
2. **Detects** `@cline` mentions (case-insensitive)
3. **Installs** Cline CLI globally using npm
4. **Creates** a Cline instance using `cline instance new`
5. **Configures** authentication using `cline config set open-router-api-key=...
--address ...`
4. **Configures** authentication using `cline config set open-router-api-key=...`
6. **Downloads** the reusable `analyze-issue.sh` script from the
`github-issue-rca` sample
7. **Runs** analysis with the instance address
7. **Runs** analysis in Cline CLI
8. **Posts** the analysis result as a comment
## Related Samples
@@ -0,0 +1,227 @@
---
title: "Model Orchestration"
description: "Use multiple AI models strategically: optimize costs, reduce bias, and leverage model-specific strengths in your workflows"
---
# Model Orchestration
Cline CLI's `--config` and `--thinking` flags enable sophisticated multi-model workflows. Instead of using a single model for all tasks, you can route different work to different models based on cost, capability, and specialization.
## Why Orchestrate Multiple Models?
**Cost Optimization**
- Use fast, cheap models (Haiku, Gemini Flash) for simple tasks like summarization
- Reserve expensive models (Opus, O1) for complex reasoning and planning
- Reduce API costs by 10-100x on routine operations
**Bias Reduction**
- Different models catch different issues in code reviews
- Cross-validate solutions with multiple AI perspectives
- Reduce blind spots from single-model thinking
**Specialization**
- Some models excel at code (Codex, DeepSeek)
- Others are better at documentation (GPT-4, Claude)
- Security analysis benefits from multiple viewpoints
## Pattern 1: CI/CD Code Review
See our production GitHub Actions workflow that uses Cline CLI for automated PR reviews: [cline-pr-review.yml](https://github.com/cline/cline/blob/main/.github/workflows/cline-pr-review.yml)
**Key capabilities demonstrated:**
- **Automated inline suggestions**: Creates GitHub suggestion blocks that authors can commit with one click
- **SME identification**: Analyzes git history to find subject matter experts for each file
- **Related issue discovery**: Searches for context from past issues and PRs
- **Security-first permissions**: Read-only codebase access, can only post reviews
- **Deep code analysis**: Understands intent, compares approaches, identifies edge cases
The workflow runs on every PR and provides maintainers with comprehensive context to make faster, more informed decisions.
## Pattern 2: Task Phase Optimization
Use different models for different phases of work. Route simple tasks to cheap models, complex reasoning to premium models.
### Example: Issue Analysis Pipeline
```bash
# Get latest issue content
ISSUE_CONTENT=$(gh issue view $(gh issue list -L 1 | awk '{print $1}'))
# Phase 1: Quick summary with cheap model
SUMMARY=$(echo "$ISSUE_CONTENT" | cline -y --config ~/.cline-haiku \
"summarize this issue in 2-3 sentences")
# Phase 2: Detailed plan with expensive model + thinking
PLAN=$(echo "$SUMMARY" | cline -y --thinking --config ~/.cline-opus \
"create detailed implementation plan with edge cases")
# Phase 3: Execute with mid-tier model
echo "$PLAN" | cline -y --config ~/.cline-sonnet \
"implement the plan from above"
```
<Note>
Each cline invocation needs to complete before passing output to the next phase. Use shell variables to store intermediate results rather than piping cline commands directly.
</Note>
**Cost impact:**
- Haiku: $0.80 per million input tokens
- Opus: $15 per million input tokens
- Sonnet: $3 per million input tokens
This pattern uses Opus only when needed for complex reasoning, saving ~10x on API costs compared to using Opus for everything.
### Setting Up Model Configs
Create separate configuration directories for each model:
```bash
# Create config directories
mkdir -p ~/.cline-haiku ~/.cline-sonnet ~/.cline-opus
# Configure each with different models
cline --config ~/.cline-haiku auth anthropic --modelid claude-haiku-4-20250514
cline --config ~/.cline-sonnet auth anthropic --modelid claude-sonnet-4-20250514
cline --config ~/.cline-opus auth anthropic --modelid claude-opus-4-5-20251101
# Or use different providers entirely
cline --config ~/.cline-gemini auth gemini --modelid gemini-2.0-flash-exp
cline --config ~/.cline-codex auth openai-codex --modelid gpt-5-latest
```
Now you can switch models per-task with `--config`:
```bash
cline --config ~/.cline-haiku "quick task"
cline --config ~/.cline-opus "complex reasoning task"
```
## Pattern 3: Multi-Model Review & Consensus
Get multiple AI perspectives on the same change, then synthesize their feedback.
### Example: Diff Review Pipeline
```bash
# Get the latest commit
DIFF=$(git show)
# Review 1: Gemini's perspective
echo "$DIFF" | cline -y --config ~/.cline-gemini \
"review this diff and write your analysis to gemini-review.md"
# Review 2: Codex's perspective
echo "$DIFF" | cline -y --config ~/.cline-codex \
"review this diff and write your analysis to codex-review.md"
# Review 3: Opus's perspective
echo "$DIFF" | cline -y --config ~/.cline-opus \
"review this diff and write your analysis to opus-review.md"
# Synthesize all reviews into a consensus
cat gemini-review.md codex-review.md opus-review.md | cline -y \
"summarize these 3 reviews and identify: 1) issues all models agree on, 2) issues only one model caught, 3) your final recommendation"
```
**Why this works:**
- **Redundancy**: Issues caught by all 3 models are high-confidence
- **Coverage**: Each model has blind spots; together they cover more ground
- **Prioritization**: Consensus issues should be fixed first
- **Learning**: See which model types catch which issue types
### Advanced: Parallel Reviews
Run reviews in parallel for faster feedback:
```bash
# Run all reviews simultaneously
git show | cline -y --config ~/.cline-gemini "review and save to gemini-review.md" &
git show | cline -y --config ~/.cline-codex "review and save to codex-review.md" &
git show | cline -y --config ~/.cline-opus "review and save to opus-review.md" &
# Wait for all to complete
wait
# Synthesize
cat *-review.md | cline -y "create consensus review"
```
<Note>
Parallel execution requires managing multiple Cline instances. See [Multi-instance workflows](/cline-cli/three-core-flows#3-multi-instance-run-parallel-agents) for details.
</Note>
## Extended Thinking for Complex Tasks
Use the `--thinking` flag when Cline needs to analyze multiple approaches:
```bash
# Without thinking: Fast but may miss nuances
cline -y "refactor this codebase"
# With thinking: Slower but more thorough
cline -y --thinking \
"refactor this codebase - consider: performance, maintainability, backward compatibility"
```
The `--thinking` flag allocates 1024 tokens for internal reasoning before Cline responds. Best for:
- Architectural decisions
- Security analysis
- Complex refactoring
- Multi-step planning
## Best Practices
1. **Profile your workload**: Track which tasks are simple vs. complex
2. **Match models to tasks**: Use fast models for summaries, powerful models for reasoning
3. **Automate switching**: Script model selection based on task type
4. **Monitor costs**: Different models have 10-100x price differences
5. **Validate important decisions**: Use multi-model consensus for critical changes
## Production Examples
### Cost-Optimized PR Review
```bash
# Haiku: Quick summary and issue identification
gh pr view $PR | cline -y --config ~/.cline-haiku \
"list all issues to fix, output as JSON"
# Opus with thinking: Deep analysis only if issues found
if [ -s issues.json ]; then
cline -y --thinking --config ~/.cline-opus \
"analyze these issues and recommend fixes"
fi
```
### Security-Focused Multi-Model Scan
```bash
# Different models have different security perspectives
git diff main | cline -y --config ~/.cline-gemini "security review" > gemini-sec.md &
git diff main | cline -y --config ~/.cline-opus "security review" > opus-sec.md &
git diff main | cline -y --config ~/.cline-codex "security review" > codex-sec.md &
wait
# High-priority: Issues all 3 models found
cat *-sec.md | cline -y "find security issues all 3 reviews mentioned"
```
## Related Documentation
<Columns cols={2}>
<Card title="CLI Reference" icon="terminal" href="/cline-cli/cli-reference">
Complete documentation for --config and --thinking flags
</Card>
<Card title="Three Core Flows" icon="route" href="/cline-cli/three-core-flows">
Learn about interactive mode, headless automation, and multi-instance workflows
</Card>
<Card title="Model Selection Guide" icon="brain" href="/core-features/model-selection-guide">
Compare models and choose the right one for your needs
</Card>
<Card title="CI/CD Integration" icon="github" href="/cline-cli/samples/github-integration">
Automate GitHub workflows with Cline CLI
</Card>
</Columns>
+16
View File
@@ -8,6 +8,22 @@ This section provides sample implementations that demonstrate various Cline CLI
## Available Samples
<CardGroup cols={1}>
<Card
title="Model Orchestration"
icon="layer-group"
href="/cline-cli/samples/model-orchestration"
>
Use multiple AI models strategically with --config and --thinking flags. Optimize costs by routing simple tasks to cheap models and complex reasoning to premium models. Includes patterns for CI/CD code review, task phase optimization, and multi-model consensus.
</Card>
<Card
title="Worktree Workflows"
icon="code-branch"
href="/cline-cli/samples/worktree-workflows"
>
Use Git worktrees with the --cwd flag to run parallel tasks, test different approaches, and pipe context between isolated environments. Includes patterns for parallel execution, cross-worktree piping, and combining with model orchestration.
</Card>
<Card
title="GitHub Root Cause Analysis"
icon="magnifying-glass-chart"
@@ -0,0 +1,275 @@
---
title: "Worktree Workflows"
description: "Use Git worktrees with Cline CLI to run parallel tasks, test different approaches, and pipe context between isolated environments"
---
# Worktree Workflows
Git worktrees let you have multiple branches checked out simultaneously in different folders. Combined with Cline CLI's `--cwd` flag, this enables powerful parallel development workflows and isolated experimentation.
<Tip>
New to Git worktrees? See our comprehensive [Worktrees guide](/features/worktrees) for the full concept explanation, VS Code integration, and best practices.
</Tip>
## Quick Worktree Setup
If you haven't used Git worktrees before, here's the essentials:
```bash
# Create a new worktree in ~/worktree-a on branch feature-a
git worktree add ~/worktree-a -b feature-a
# Create another worktree for a different feature
git worktree add ~/worktree-b -b feature-b
# List all worktrees
git worktree list
# Remove a worktree when done
git worktree remove ~/worktree-a
```
Each worktree is a separate folder with its own branch checked out. They all share the same Git history and `.git` directory, but have independent working directories.
## The `--cwd` Flag
The `-c, --cwd <path>` flag tells Cline to run in a specific directory without changing your current location:
```bash
# Run Cline in a different directory
cline --cwd ~/worktree-a -y "refactor the authentication code"
# Short form
cline -c ~/worktree-b -y "add unit tests"
```
This is the key to worktree workflows—you can run multiple Cline instances in different worktrees simultaneously from a single terminal.
## Pattern 1: Parallel Task Execution
Run different tasks in parallel across multiple worktrees. Each task works on a separate branch in complete isolation.
### Example: Parallel Feature Development
```bash
# Terminal 1: Update docs in worktree-a
cline --cwd ~/worktree-a -y "read the last 10 changes using git show and update our README with them" &
# Terminal 2: TypeScript migration in worktree-b
cline --cwd ~/worktree-b -y "update the index.js to use typescript" &
# Terminal 3: Refactoring in worktree-c
cline --cwd ~/worktree-c -y "refactor the cli/ folder to be more modular" &
# Wait for all to complete
wait
```
The `&` runs each command in the background, allowing all three to execute simultaneously.
### When to Use Parallel Execution
**Perfect for:**
- Multiple independent features
- Bulk refactoring across different modules
- Running tests in one worktree while developing in another
- Trying multiple approaches to the same problem
**Not ideal for:**
- Tasks that modify the same files (merge conflicts likely)
- Tasks that depend on each other's results
- When you need to monitor progress closely
## Pattern 2: Cross-Worktree Context Piping
Pipe output from one worktree as input to another. Use when a task in one worktree needs context from attempts in another worktree.
### Example: Learning from Failures
```bash
# Try approach A in worktree-a, capture only the failure summary
cline --cwd ~/worktree-a -y \
"edit the index.ts to be better and then npm run. if it fails, output ONLY the failure summary. nothing else but the failure summary" \
| cline --cwd ~/worktree-b -y \
"i've tried to edit the index.ts in a different worktree but it failed. use a different approach for this work tree"
```
**How it works:**
1. First Cline instance runs in `worktree-a`, attempts a change, tests it
2. If it fails, outputs just the failure summary
3. That summary is piped to a second Cline instance in `worktree-b`
4. Second instance sees the failure and tries a different approach
### When to Use Context Piping
**Perfect for:**
- A/B testing different solutions
- Learning from failed attempts
- Iterative refinement (try → analyze → try differently)
- Comparing outputs across approaches
**Not ideal for:**
- Simple tasks that don't need cross-context
- When both worktrees would succeed independently
- Real-time collaboration (use parallel execution instead)
## Combining with Other CLI Features
### Different Models Per Worktree
Use `--config` to run different models in different worktrees:
```bash
# Cheap model for simple docs update
cline --cwd ~/worktree-docs --config ~/.cline-haiku -y \
"update README with latest changes"
# Expensive model for complex refactoring
cline --cwd ~/worktree-refactor --config ~/.cline-opus --thinking -y \
"refactor authentication system for better security"
```
This optimizes costs while maintaining quality where it matters.
### Task Isolation
Keep long-running worktree sessions isolated by running each task against a different worktree path:
```bash
# Run tasks in dedicated worktrees
cline --cwd ~/worktree-a -y "long-running task"
cline --cwd ~/worktree-b -y "another task"
```
Each worktree has its own Git branch and working directory, so task history and changes stay separated without needing instance management.
### With YOLO Mode
The `-y` (YOLO) flag is essential for worktree workflows:
```bash
# Without -y: Opens interactive chat (blocks other tasks)
cline --cwd ~/worktree-a "refactor code"
# With -y: Runs autonomously (doesn't block)
cline --cwd ~/worktree-a -y "refactor code" &
```
For parallel execution, always use `-y` to avoid blocking on user approval.
## Real-World Workflow Example
Here's a complete workflow showing how these patterns work together:
```bash
# Setup: Create three worktrees
git worktree add ~/cline-worktrees/feature-auth -b feature/authentication
git worktree add ~/cline-worktrees/feature-api -b feature/api-endpoints
git worktree add ~/cline-worktrees/fix-tests -b fix/failing-tests
# Pattern 1: Run parallel independent tasks
cline -c ~/cline-worktrees/feature-auth -y --config ~/.cline-sonnet \
"implement JWT authentication" &
cline -c ~/cline-worktrees/feature-api -y --config ~/.cline-sonnet \
"create REST API endpoints for user management" &
cline -c ~/cline-worktrees/fix-tests -y --config ~/.cline-haiku \
"fix all failing unit tests" &
wait
echo "All parallel tasks complete!"
# Pattern 2: Use piping for iterative refinement
cline -c ~/cline-worktrees/feature-auth -y \
"test the authentication with curl. output only errors if any" \
| cline -c ~/cline-worktrees/feature-auth -y \
"fix the authentication issues described in the input"
# Merge successful changes back
cd ~/cline-worktrees/feature-auth
git checkout main
git merge feature/authentication
# Cleanup
git worktree remove ~/cline-worktrees/feature-auth
```
## Best Practices
<AccordionGroup>
<Accordion title="Worktree Organization">
- **Use a dedicated folder**: Create `~/cline-worktrees/` for all worktrees
- **Meaningful branch names**: Use `feature/`, `fix/`, `refactor/` prefixes
- **Clean up regularly**: Remove worktrees after merging branches
</Accordion>
<Accordion title="Task Isolation">
- **Independent features only**: Don't parallelize tasks that touch the same files
- **Test in isolation**: Each worktree should have its own test run
- **Separate configs**: Use `.worktreeinclude` to copy `node_modules` and build artifacts
</Accordion>
<Accordion title="Resource Management">
- **Monitor disk space**: Each worktree is a full checkout
- **Limit parallel tasks**: Running too many simultaneously can slow your system
- **Use background jobs wisely**: Track with `jobs` command, kill with `kill %1`, etc.
</Accordion>
<Accordion title="Error Handling">
- **Check exit codes**: Use `|| echo "Task failed"` to catch errors
- **Log outputs**: Redirect to files for debugging: `> worktree-a.log 2>&1`
- **Graceful cleanup**: Always remove worktrees after tasks complete
</Accordion>
</AccordionGroup>
## Troubleshooting
<AccordionGroup>
<Accordion title="&quot;Branch already checked out&quot; error">
Git doesn't allow the same branch in multiple worktrees. Solutions:
- Use different branch names for each worktree
- Remove the existing worktree first: `git worktree remove <path>`
</Accordion>
<Accordion title="Tasks not running in parallel">
Make sure you're using:
- `&` at the end of each command to background it
- `-y` flag so Cline doesn't wait for approval
- Different worktrees (not the same path)
</Accordion>
<Accordion title="Pipe not working as expected">
Verify:
- First command outputs to stdout (not stderr)
- Second command reads from stdin (use `--` separator if needed)
- Both commands use correct `--cwd` paths
</Accordion>
<Accordion title="Changes not appearing in worktree">
Check:
- You're in the right worktree: `git worktree list`
- Files aren't gitignored
- You committed/staged changes if needed
</Accordion>
</AccordionGroup>
## Related Documentation
<Columns cols={2}>
<Card title="Worktrees Overview" icon="code-branch" href="/features/worktrees">
Complete guide to Git worktrees, VS Code integration, and .worktreeinclude
</Card>
<Card title="Model Orchestration" icon="layer-group" href="/cline-cli/samples/model-orchestration">
Use different models strategically with --config and --thinking flags
</Card>
<Card title="CLI Reference" icon="terminal" href="/cline-cli/cli-reference">
Complete documentation for --cwd and all other CLI flags
</Card>
<Card title="Three Core Flows" icon="route" href="/cline-cli/three-core-flows">
Learn about interactive mode, task mode, and plain text workflows
</Card>
</Columns>