Describe the bug
Markdown tables returned in responses from AI models are not formatted correctly and are difficult to read.
See sections in screenshots below: "At A Glance", "Head-to-Head: Feature Comparison" and "When To Choose Which".
Affected input device (e.g. MacBook Trackpad, Magic Mouse/Trackpad, Touch Bar, etc.):
N/A
Screenshots
Device information:
- Type of Mac: Apple M3 Pro
- macOS version: Sequoia 15.7.5
- BetterTouchTool version: : 6.521
Additional information (e.g. crash logs, related issues, etc.):
Response from AI Model:
Here is a comparison of **Cline** and **Continue.dev** as VS Code extensions, based on current information.
---
## At a Glance
| Dimension | **Cline** | **Continue.dev** |
|---|---|---|
| **Core Identity** | Autonomous coding agent | Configurable AI coding assistant / workbench |
| **Primary Workflow** | Plan → Act: delegate a task and approve steps | Always-on chat, autocomplete, and inline edits |
| **Best Mental Model** | A junior engineer in a sandbox | A customizable AI pair programmer layer |
| **Autocomplete / Tab Completion** | ❌ Not a focus | ✅ First-class feature |
| **Inline Edits** | ✅ Yes (via agent file edits) | ✅ Yes (`Cmd/Ctrl+K`) |
| **Terminal / Command Execution** | ✅ Built-in, core feature | ❌ Not core (agent mode exists but limited) |
| **Browser Automation** | ✅ Built-in | ❌ No |
| **IDE Support** | VS Code, Cursor, Windsurf, JetBrains, CLI | VS Code, JetBrains |
| **Local / Self-Hosted Models** | ✅ Supported (BYOK) | ✅ Excellent (Ollama, vLLM, etc.) |
| **Open Source** | ✅ Apache-2.0 | ✅ Apache-2.0 (core) |
| **Team / CI Features** | CLI for headless mode | CLI for PR status checks ("Continuous AI") |
---
## What Cline Does Best
**Cline** is an autonomous agent. Its signature feature is the **Plan/Act** workflow:
1. **Plan Mode**: You describe a task. Cline reads your codebase, identifies relevant files, and produces a step-by-step implementation plan — without modifying anything yet.
2. **Act Mode**: After you approve the plan, Cline executes step-by-step: editing files, running terminal commands, reading error output, and iterating until the task is done. Each step requires your approval.
### Key Strengths
- **End-to-end execution**: Give it a failing test and ask it to fix the underlying bug. It will trace the code, patch it, run tests, fix type errors, and summarize.
- **Checkpoints**: Snapshot your workspace at every step. If the agent goes off-track, roll back to any previous state.
- **MCP Marketplace**: 100+ pre-built MCP servers (tools) that extend Cline with database access, API integrations, custom tooling, etc.
- **Browser automation**: Built-in browser control for testing web apps and debugging UI issues.
- **Separate models for Plan vs Act**: Use a heavy reasoning model (Claude Opus, o3) for planning and a faster/cheaper model for execution.
### Weaknesses
- **No autocomplete**: Cline does not provide inline tab-completion as you type.
- **Higher token spend**: Agent loops (read file → edit → run command → read output → retry) consume significantly more API tokens.
- **Approval overhead**: Requires frequent human review for file edits and commands.
---
## What Continue.dev Does Best
**Continue.dev** is a configurable AI layer embedded into your editor. It provides **chat**, **autocomplete**, **inline edits**, and **codebase Q&A** without trying to become a fully autonomous teammate.
### Key Strengths
- **Tab Autocomplete**: First-class inline completion using fast local models (e.g., Qwen2.5-Coder via Ollama) or cloud APIs (Codestral).
- **Inline Edits (`Cmd/Ctrl+K`)**: Select code, type a natural language instruction, and get a diff suggestion.
- **Model routing via `config.yaml`**: Assign different models to different roles — a cheap local model for autocomplete, a strong cloud model for chat/edits, and separate embeddings for codebase retrieval.
- **Codebase Q&A**: Ask architecture questions ("where is auth enforced?") and get answers indexed across your repository.
- **Local model excellence**: Very mature support for Ollama, vLLM, LM Studio, and OpenAI-compatible local endpoints.
- **CI/CD pivot**: Continue now offers a CLI where source-controlled AI checks (markdown files in `.continue/checks/`) run as GitHub status checks on every PR.
### Weaknesses
- **Less autonomous**: Multi-file refactors require more manual steps compared to Cline's agent loop.
- **IDE extension is no longer the primary focus**: Since mid-2025, Continue has pivoted toward its CLI/CI product. The VS Code extension still works but receives less investment.
---
## Head-to-Head: Feature Comparison
| Feature | Cline | Continue.dev |
|---|---|---|
| **Autonomous multi-file edits** | Excellent (Plan/Act with checkpoints) | Good, more manual |
| **Terminal command loop** | Core workflow | Not core |
| **Inline autocomplete** | Not available | Excellent |
| **Inline edit (`Cmd+K`)** | Via agent actions | Built-in, native |
| **Chat / Q&A** | Yes | Yes |
| **Codebase context search** | Good via file exploration | Excellent via indexed context |
| **Browser control** | Yes | No |
| **MCP tools** | 100+ marketplace | Not a focus |
| **Local / privacy-first models** | Supported | Stronger story |
| **Model provider flexibility** | 20+ native providers | Config-driven, any OpenAI-compatible endpoint |
| **Beginner friendliness** | Fast to start | Requires `config.yaml` decisions |
---
## When to Choose Which
| Your Situation | Choose | Why |
|---|---|---|
| You want an AI to **implement a ticket end-to-end** | **Cline** | Plan/Act delegation with self-verification |
| You want **tab autocomplete** while typing | **Continue.dev** | Cline doesn't do this |
| You want **inline code edits** on selection | **Continue.dev** | Native `Cmd+K` diff workflow |
| You work on a **huge legacy repo** and need to understand it | **Continue.dev** | Indexed codebase Q&A is faster |
| You need **browser testing / automation** | **Cline** | Built-in browser control |
| You want **team-wide model governance** | **Continue.dev** | `config.yaml` roles and CI checks |
| You prefer **local/self-hosted models** for privacy | **Continue.dev** | Best-in-class Ollama/local support |
| You want a **junior dev that runs commands and tests** | **Cline** | Autonomous execution loop |
---
## Pro Tip: Use Both Together
Many developers run **both simultaneously**:
- **Continue.dev** as the always-on layer: tab autocomplete, codebase Q&A, and small `Cmd+K` inline edits.
- **Cline** when you have a bounded task: *"Fix this failing test,"* *"Add a dry-run flag to this script,"* or *"Refactor these 6 files."*
This gives you the best of both: Continue for thinking while you code, and Cline for handing off implementation work.
---
**Reasoning**
The user asked for a comparison between Cline and Continue.dev. I gathered data from multiple technical review sources (DevToolReviews, MorphLLM, SelectHub) and official documentation. I extracted that Cline is fundamentally an autonomous agent with Plan/Act modes and terminal/browser integration, while Continue.dev is a configurable AI workbench excelling at autocomplete, inline edits, and model routing. I also noted Continue's recent pivot toward CI/CD checks, which is a key differentiator. I structured the answer to highlight contrasting philosophies first, then feature-by-feature comparison, and practical guidance.
**References**
- [DevToolReviews: Cline vs Continue.dev 2026](https://www.devtoolreviews.com/reviews/cline-vs-continue-dev-2026)
- [MorphLLM: Cline vs Continue (2026)](https://www.morphllm.com/comparisons/cline-vs-continue)
- [SelectHub: Cline vs Continue Dev](https://www.selecthub.com/vibe-coding-tools/cline-vs-continue-dev/)
- [Cline Official Site](https://cline.bot/)
- [Continue.dev Documentation — Autocomplete](https://docs.continue.dev/customize/deep-dives/autocomplete)
- [Continue.dev Documentation — OpenAI Configuration](https://docs.continue.dev/customize/model-providers/top-level/openai)