New eval from SWE-bench team evalutes LMs based on goals not tickets
Current evals test LMs on tasks: "fix this bug," "write a test" But we code to achieve goals: maximize revenue, cut costs, win users Meet CodeClash: LMs compete via their codebases across multi-round tournaments to achieve high-level goals. Because real software dev isn’t about following instructions. It’s about achieving outcomes. Here's how it works: Two LMs enter a tournament. Each maintains its own codebase. Every round: 1. Edit Phase: LMs modify their codebases however they like 2. Competition phase: Codebases battle in an arena. 3. Repeat The LM that wins the majority of rounds is…
New eval from SWE-bench team evalutes LMs based on goals not tickets launched on November 5, 2025 with 5 votes, #4,178 of 9,795 launches that month and more than 75% of that year's launches.
What it does
CodeClash: Benchmarking Goal-Oriented Software Engineering
No explicit GitHub issues or tasks. Given just a high-level objective, models decide for themselves what to build. Models evolve their codebases across multiple rounds, analyze gigabytes of logs, adapt strategies, implement algorithms, and make all high- to low-level decisions. Models compete via their codebases in arenas where success is measured by relative scores like income, territory control, survival. But real software development isn't a series of isolated tasks. Improve user retention, increase revenue, reduce costs. We build to achieve outcomes, not to close tickets. What if AI evaluations reflected this dynamism of real-world software development? In CodeClash, models build and…from codeclash.ai
In the maker’s words, at launch
Current evals test LMs on tasks: "fix this bug," "write a test" But we code to achieve goals: maximize revenue, cut costs, win users Meet CodeClash: LMs compete via their codebases across multi-round tournaments to achieve high-level goals. Because real software dev isn’t about following instructions. It’s about…
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