Dial Coder

Think. Review. Code. Safely.

A terminal-based AI coding agent with a built-in dialectic review pipeline. Every change goes through planning, critique, and synthesis before it reaches your codebase.

Documentation · Getting Started · Contributing

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Overview

Dial Coder is an AI-powered CLI for developers. Instead of blindly applying AI-generated changes, Dial Coder runs them through a structured review pipeline that catches bugs, security issues, and missed edge cases before they land in your code.

The terminal interface gives you full control: ask questions, request edits, review diffs, and approve or reject every change.

Features

• Dialectic Review Pipeline — Planner → Critic → Synthesizer → Reflector. Every non-trivial change gets reviewed by multiple agent perspectives.
• Four Execution Modes — ask, quick, review, safe. Automatically selected based on task risk, or override manually.
• Multi-Provider Support — Ollama (default), OpenAI, Anthropic, Gemini, Google GenAI, Ollama Cloud, and any OpenAI-compatible endpoint.
• 25+ Built-in Tools — File operations, shell execution, web search, semantic code search, memory, and MCP integration.
• Vision Support — Auto-detects images and switches to vision-capable models.
• Safety Classifier — Blocks dangerous operations (rm -rf, destructive SQL, credential exposure) before execution.
• Message Compaction — Four-tier progressive compaction (snip → micro → collapse → auto) keeps long sessions within token budgets.
• Sandboxed Execution — Optional Docker/Podman sandbox for untrusted commands.

Installation

npm (recommended)

npm install -g @dial-coder/cli

npx (no install)

npx @dial-coder/cli

Docker

docker run --rm -it ghcr.io/dipankar/dial-coder:latest

From source

git clone https://github.com/dipankar/dial-coder.git
cd dial-coder
npm install
npm run build
npm link packages/cli

Getting Started

1. Configure a provider

Ollama (default, local, free):

# Start Ollama locally first
ollama pull llama3.3
# Then run
dial

OpenAI:

export OPENAI_API_KEY="sk-..."
dial --auth=openai

Anthropic:

export ANTHROPIC_API_KEY="sk-ant-..."
dial --auth=anthropic

Ollama Cloud:

export OLLAMA_CLOUD_API_KEY="..."
dial --auth=ollama-cloud

Recommended models: kimi-k2.6:cloud, glm-5.1:cloud

2. Start a session

# Interactive mode
dial
# One-shot mode
dial -p "Refactor the error handling in src/utils/errors.ts"# Review mode (full dialectic pipeline)
dial --mode=safe -p "Add input validation to the signup form"

How It Works

Dial Coder uses a dialectic pipeline for code changes. Instead of a single agent generating and applying edits, the pipeline splits work across specialized agents:

User Request
│
▼
┌─────────────┐ ┌─────────────┐ ┌─────────────┐
│ Proposer │───→│ Critic │───→│ Synthesizer │
│ (Thesis) │ │ (Antithesis)│ │ (Synthesis) │
└─────────────┘ └─────────────┘ └─────────────┘
│
▼
┌─────────────┐
│ Reflector │
│ (Learn) │
└─────────────┘

1. Proposer — Generates a plan and proposed patches.
2. Critic — Reviews the plan for bugs, security issues, missed edge cases, and style violations.
3. Synthesizer — Reconciles the thesis and antithesis into a final, reviewed patch set.
4. Reflector — Updates project memory (decisions, invariants, patterns) so future rounds are smarter.

Execution Modes

Mode	Pipeline	Use For
Ask (?)	None	Read-only questions, explanations, code review
Quick (⚡)	Proposer only	Fast, low-risk edits (typos, renaming)
Review (◎)	Proposer + Critic + Synthesizer	Medium-risk changes (refactoring, feature adds)
Safe (🛡)	Full pipeline + verification	High-risk changes (auth, payments, schema changes)

Modes are automatically selected based on the task description, or you can force a mode with --mode=<mode>.

Providers

Provider	Setup	Default Model	Free?
Ollama	ollama run llama3.3	llama3.3	Yes (local)
Ollama Cloud	OLLAMA_CLOUD_API_KEY	kimi-k2.6:cloud	Yes (with key)
OpenAI	OPENAI_API_KEY	gpt-4.1	Pay-as-you-go
Anthropic	ANTHROPIC_API_KEY	claude-sonnet-4-6	Pay-as-you-go
Gemini	GOOGLE_API_KEY	gemini-2.5-pro	Free tier
Google GenAI	OAuth or GOOGLE_API_KEY	gemini-2.5-pro	Free tier

Ollama is the default. No API keys required.

Commands

Inside the interactive terminal:

Command	Description
/help	Show all commands
/clear	Clear conversation history
/compress	Compact conversation to save tokens
/stats	Show token usage and cost
/memory	View project memory (decisions, invariants)
/diff	Show pending diffs
/approve	Approve and apply pending changes
/reject	Reject pending changes
/exit	Exit session

Tools

Dial Coder exposes a rich tool set to the AI agent:

File & Search

• view, edit, write, patch — File operations
• glob, grep, ripgrep — Code search
• ls, pwd — Directory navigation

Execution

• bash — Shell commands (sandboxed by default)
• fetch — Web requests

Integration

• mcp — Model Context Protocol servers
• memory_search — Semantic search over project memory

Configuration

Configuration lives in ~/.dial/settings.json:

{
"model": {
"name": "llama3.3",
"provider": "ollama"
},
"security": {
"approvalMode": "suggest",
"sandbox": "docker"
}
}

Set DIAL_API_KEY, OPENAI_API_KEY, or ANTHROPIC_API_KEY as environment variables for cloud providers.

Development

npm install
npm run build
npm run test:ci # Run all tests
npm run preflight # Full CI check (lint, typecheck, build, test)

See CONTRIBUTING.md for guidelines.

Architecture

Dial Coder is a monorepo with three main packages:

• @dial-coder/core — LLM adapters, tools, memory system, dialectic orchestrator
• @dial-coder/cli — Terminal UI, command handlers, configuration
• dial-coder-vscode — VS Code extension for IDE companion mode

License

Apache 2.0

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Built with ❤️ by Dipankar and contributors.