Originally published on AI Tech Connect.
What just happened on the coding-agent leaderboard In April 2026, an open-source scaffold called Live-SWE-agent posted 79.2% on SWE-bench Live — the dynamic, contamination-free coding-agent benchmark that has quietly become the reference point for honest comparison this year. That single number reframed an argument the industry has been having since SWE-bench Verified scores started cresting 90%: how much of the gap between open and closed coding agents is actually the model, and how much is the scaffold around it? The answer, on this benchmark, is that the scaffold accounts for an enormous slice. A well-designed open harness — the agent loop, the tool stack, the planning prompts, the verifier — drives an open-weight model to within striking distance of closed systems built by labs with…
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