Warp scores 75.8% on SWE-bench Verified!

Warp's development team has enhanced their single-agent system, powered by GPT-5, to improve performance on coding tasks, as demonstrated on the SWE-bench benchmark. The improvements include a task list feature that dynamically updates as tasks progress, enhancing the agent's adaptability and accuracy. Additionally, the team refined the agent's summarization capabilities to maintain context in longer conversations, ensuring efficient and coherent interactions. File editing has been optimized by returning only the modified sections, reducing token usage and improving efficiency. Support for long-running commands has been bolstered to handle real-world scenarios more robustly. Furthermore, debugging capabilities have been augmented with specific guidance to improve fix accuracy. These updates collectively demonstrate the effectiveness of a single-agent architecture with focused tools and showcase GPT-5's competitive performance in handling real-world coding tasks.