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11 posts in the last 7 days
Custom Evaluation Harnesses for AI Coding Models
Developers are shifting away from generic benchmarks and "vibes-based" testing, building custom reproducible harnesses and sandbox workflows instead. This trend focuses on evaluating free and new AI models locally against their own specific codebases and tasks before integrating them into production workflows.
Key Areas of Focus:
- How do I build a lightweight, reproducible evaluation harness for my codebase?
- What is the best zero-budget sandbox workflow to test AI coding models?
- How can I stop relying on public benchmarks and measure real performance on my actual tasks?
Active 5 days ago
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