Open-source coding agents now beat paid ones (if you route models right)

I spent three weeks fighting with Cursor before I realized the obvious: why pay $20/month for a closed coding agent when OpenCode gives me 75+ model providers for free?

The open-source coding agent landscape exploded while we weren't looking. OpenCode, Continue, and Aider now support everything from Claude to local Llama models. They're not just "good enough" — they're often better than paid options because of one killer feature: provider flexibility.

Here's what I learned switching our entire coding workflow to open-source multi-provider agents.

Route by task complexity, not brand loyalty

The biggest win isn't saving money — it's using the right model for each task. My agent now routes like this:

// Simple refactoring
Claude Haiku: $0.25/1M tokens

// Complex architecture decisions  
Claude Opus: $15/1M tokens

// Bulk documentation
GPT-3.5: $0.50/1M tokens

// Code review
DeepSeek Coder: Free (local)

One agent, four models, 60% cost reduction. Cursor can't do this because they're locked to their model stack.

Local models for the boring stuff

Here's the pattern that changed everything: run DeepSeek Coder locally for code review and simple refactoring. It's fast, free, and surprisingly good at catching obvious bugs.

I keep Claude Opus for the hard problems — architecture decisions, complex debugging, greenfield features. But 70% of coding tasks don't need frontier intelligence. They need speed and consistency.

When paid agents still win

Don't go full open-source without understanding the tradeoffs:

• Setup time: OpenCode takes 30 minutes to configure properly. Cursor works in 30 seconds.
• Context integration: Paid agents know your entire codebase instantly. Open-source agents need explicit context files.
• Error recovery: When Cursor breaks, you restart the app. When your local model breaks, you debug Docker containers.

The hybrid approach that actually works

I don't run pure open-source or pure paid. I run both:

Cursor for rapid prototyping and exploration. OpenCode for production work and cost-sensitive tasks. Local models for code review and documentation.

The key insight: provider flexibility changes your entire workflow. Instead of adapting your problems to fit one model's strengths, you adapt your model choice to fit each problem.

Most teams pick an agent and stick with it forever. Smart teams pick an agent that lets them pick models dynamically.