Tested
Open models and cheap coding stacks, measured: price, limits, speed and what they do inside a real coding agent.
24 write-ups, newest first.
- How Alibaba’s Open Code Review Slashed AI Code Review Costs by 90% — And What It Means for Independent Developers
- Bypass Codex Rate Limits: The Local Proxy Path to 70% Cost Savings
- Stop Hitting the 5-Hour Limit: Routing Your IDE’s AI Requests to Local Models
- Four Circuit Breakers Every Unattended AI Pipeline Needs (Learned the Expensive Way)
- I built a WeChat Official Account writing Agent that cuts work time by 80% — here’s the workflow filter and tool combo I used
- The Hidden Costs of Over-Prompting in AI Coding: Lessons from Claude Code's Optimization
- Claude Code Can Model a Flange but Not a Freeform Surface: A Six-Step Handoff Checklist for Non-Code Agent Output
- Chinese Models Are Not 2x Cheaper Once Your Agent Starts Caching
- The Hidden Costs of AI Coding Tools: What English Developers Don't Know
- Claude Code and Codex for Office Automation
- The Two Best AI Code Reviewers Score the Same. One Costs $1.43 a Run, the Other $9.05.
- Why Stripping 80% of System Prompts Actually Improved Claude Code's Performance
- 1.6 Billion Free Tokens Is a Compression Ratio, Not a Strategy
- Token Optimization for Indie Developers' AI API Bills
- MonkeyCode: The Open-Source AI Coding Platform With 900 Million Free Tokens
- Choosing the Right AI Model for Coding: Cost vs. Efficiency
- Your AI Coding Bill Scales With Your Repo, Not Your Output
- The Cost-Effective Guide to Using Open Code Review for AI Programming Tools
- The Token Cost War: Why Price per Million Tokens Now Decides the AI Market
- The First Line of Defense in AI Programming: Environment Variable Management
- How Chinese AI Agent Tools Leverage 1.6 Billion Free Tokens
- AI Programming Tool Selection Strategy: From Rapid Prototyping to Long-term Collaboration
- How Chinese Developers Are Using Codex Record & Replay to Streamline Repetitive Workflows
- AI Model Costs: Beyond Per-Token Pricing