Autonomous Coding Agents (IDE) — Home Use (Free)

Overview

AI coding agents have transformed how developers write, debug, and understand code. This guide covers setting up the major free-tier options for home use, where you don’t have to deal with corporate proxies, SSL inspection, or data governance policies.

The Landscape (2025)

Claude Code (Anthropic)

Best for: Long autonomous coding tasks, agentic workflows, file editing across projects.

Installation

# Requires Node.js 18+
npm install -g @anthropic-ai/claude-code

# Authenticate with your Anthropic account (free plan available)
claude auth login

# Start a session
cd /your/project
claude

Configuration

# claude is configured per-project with CLAUDE.md files
# Create a CLAUDE.md in your project root:
cat > CLAUDE.md << 'EOF'
# Project Context
This is a TypeScript web app using React and Express.
- Use functional components with hooks
- Prefer explicit type annotations
- Run `npm test` after code changes
EOF

Key Capabilities

• Full file system access (reads and writes files)
• Runs shell commands and tests
• Maintains context across multi-file changes
• --continue flag resumes previous sessions

Roo Code (VS Code Extension)

Best for: In-editor AI assistance, quick completions, multiple model backends.

Installation

1. Open VS Code
2. Extensions → Search “Roo Code” (formerly Roo Cline)
3. Install

Configuration

Roo Code supports multiple API backends. For the free Anthropic option:

1. Get a free API key at console.anthropic.com (includes $5 free credits)
2. Roo Code settings → API Provider → Anthropic
3. Enter your API key
4. Select claude-3-5-haiku-* for cost efficiency

Modes

Roo Code runs in different modes depending on task type:

• Code: Writes and edits files
• Architect: Plans and designs before writing
• Ask: Q&A without file modifications
• Debug: Focused on diagnosing and fixing issues

GitHub Copilot (Free Tier)

Best for: Inline completions, GitHub-integrated workflows.

Free Tier Limitations (2025)

• 2,000 code completions/month
• 50 chat requests/month
• Limited to VS Code, JetBrains, vim plugins

Setup

1. GitHub account → Settings → Copilot → Enable free plan
2. Install “GitHub Copilot” extension in VS Code
3. Sign in with GitHub

Tips for Free Tier

• Use completions for boilerplate, not complex logic
• The chat feature (Copilot Chat) counts against your quota — use it judiciously
• Free tier uses claude-3.5-sonnet or gpt-4o depending on request type

Ollama (Completely Local)

Best for: Privacy-sensitive projects, offline development, unlimited free usage.

Installation

# macOS
brew install ollama

# Linux
curl -fsSL https://ollama.ai/install.sh | sh

# Windows: Download from ollama.ai

Running Models

# Pull a code-optimised model
ollama pull codellama:7b        # Meta's code model, 4GB
ollama pull deepseek-coder:6.7b # Strong coding performance, 4GB
ollama pull qwen2.5-coder:7b    # Excellent coding model from Alibaba

# Start interactive session
ollama run deepseek-coder:6.7b

# Use as API (compatible with OpenAI format)
curl http://localhost:11434/v1/chat/completions \
  -H "Content-Type: application/json" \
  -d '{
    "model": "deepseek-coder:6.7b",
    "messages": [{"role": "user", "content": "Write a Python function to parse JSON"}]
  }'

Integrate with Roo Code

Roo Code supports Ollama as a local backend:

1. Roo Code settings → API Provider → Ollama
2. Base URL: http://localhost:11434
3. Model: deepseek-coder:6.7b (or whichever you’ve pulled)

Advantages: No API costs, no data leaves your machine, no rate limits.

Choosing the Right Tool

Personal project with no data sensitivity?
  → Roo Code + Claude Haiku (cheap) or Copilot (free completions)

Complex multi-file refactoring task?
  → Claude Code (best long-context agentic reasoning)

Privacy-sensitive work?
  → Ollama with deepseek-coder or qwen2.5-coder

Quick inline completions?
  → GitHub Copilot free tier

Want to experiment with multiple models?
  → Roo Code (swap backends easily)

Cost Management Tips

1. Use Haiku for routine tasks — claude-haiku-* is 10-20x cheaper than Sonnet for simple completions
2. Set usage limits — Anthropic console lets you set monthly spending caps
3. Cache your sessions — Claude Code’s --continue flag reuses conversation history, reducing re-sending context
4. Use local for experimentation — Ollama is free; use it for prototyping prompts before using paid APIs
5. Monitor token usage — Most tools show token counts; long system prompts add up quickly