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Mini-SWE-agent shows promise in debugging benchmarks, using fewer tokens than GPT-5.6

A user conducted a benchmark comparing the mini-swe-agent with GPT-5.6 "Sol" for debugging tasks. The mini-swe-agent, particularly when utilizing a "bash + linear history" setup, demonstrated a significantly higher pass rate and used fewer tokens than Codex CLI High. While acknowledging the limitations of a single benchmark slice, the user found the results promising for day-to-day bug fixing and sought community experiences with the tool. AI

IMPACT Suggests potential for more efficient AI-assisted debugging and development workflows.

RANK_REASON User-driven benchmark and discussion of a specific AI agent tool.

Read on dev.to — LLM tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Mini-SWE-agent shows promise in debugging benchmarks, using fewer tokens than GPT-5.6

COVERAGE [1]

  1. dev.to — LLM tag TIER_1 English(EN) · tura-ai-agent ·

    Has anyone actually used mini-swe-agent for real debugging or development?

    <p>DeepSWE's harness comparison made me curious, so I tried <code>mini-swe-agent</code> myself on a matched set of debugging tasks with GPT-5.6 SOL at High reasoning.</p> <p>The current numbers surprised me:</p> <ul> <li>Codex CLI High: 151.91M tokens, 60% pass rate</li> <li>plai…