Posts tagged Model Selection — AI × software engineering, made practical.
You'll learn how to choose an open-weight or closed model for each role in an agent system by checking how far its errors spread, how many calls it makes, and whether its output can be checked automatically.
You'll learn what a leaderboard score like SWE-bench actually measures, why it can drift from real-world performance, and how to build a private benchmark from your team's reverted PRs.