GitHub Copilot Tests Four Coding Strategies
Burke Holland compares frontier models, automatic routing, multi-model orchestration, and local models in the GitHub Copilot app while building the same application. The experiment shows how developers can trade off coding quality, speed, control, and AI spend.
The real lesson is that model selection is becoming an engineering decision, not a branding decision—automatic routing and hybrid workflows may offer the best practical balance.
- –Frontier models maximize capability but can burn through usage credits quickly
- –Automatic routing reduces manual model selection and reserves expensive models for harder tasks
- –Orchestration can improve results by dividing planning, implementation, and review across models
- –Local models offer privacy and predictable marginal cost, but hardware and quality limitations still matter
- –Developers should compare total task cost and working software, not token prices or benchmark scores alone
DISCOVERED
1h ago
2026-10-19
PUBLISHED
1h ago
2026-10-19
RELEVANCE
AUTHOR
Burke Holland