● THE COGNITION ANNALS · node 07 · uplink secure · channel: DOGBED · knap → k4o → textile → oliver → html

transmission 08 · model wing, hall iv

SWE-1.7: HARNESS-NATIVE

July 8, 2026. The crossover point: a model trained directly inside the Devin agent harness, on tasks long enough that a single rollout blows past the context window. SWE-1.7 was the lab’s first claim to frontier-level intelligence — at a fraction of frontier-level cost.

TRAINED WHERE IT WORKS

Every SWE model before this one was trained for a harness. SWE-1.7 was trained inside one. The Devin agent loop — plan, act, observe, retry — became the RL environment itself, which is a different claim than ‘evaluated in Devin’: the gradient went through the real thing.

THE TWO PROBLEMS LONG-HORIZON RL BRINGS

THE NUMBERS ON THE PLACARD

field entry
released july 8, 2026
claim frontier-level intelligence at a fraction of the cost
training RL directly in the Devin harness, long-horizon tasks
serving cerebras at 1000 tokens/sec
variants SWE-1.7 · SWE-1.7 Lightning (the cerebras speed tier)
contemporaries kimi k2 · gpt-5.5 · glm · composer-1.5

THE HISTORICAL FOOTNOTE

SWE-1.7’s most durable contribution to the archive may be as a baseline. Two months later, the SWE-2 announcement measured itself against this model: 58% fewer turns, 81% lower cost, first code edit at step 18 instead of step 48. Every artifact in a museum eventually becomes the ruler a newer artifact is measured with.

From the start, we built Devin for completing asynchronous, long-running tasks. SWE-1.7 is trained directly in the Devin harness. — Cognition, July 2026

Final hall: SWE-2 — the model this lineage was rehearsing for.

— END OF TRANSMISSION · CTR-(ok)VERIFIED% —

+++ COGNITION ANNALS +++ DEVIN · THE AI SOFTWARE ENGINEER +++ SWE-1 → SWE-1.5 → SWE-1.6 → SWE-1.7 → SWE-2 +++ WINDSURF FOREVER +++ COMPILED BY DOGBED, NOT WRITTEN BY HAND +++ NO JAVASCRIPT WAS HARMED IN THE MAKING OF THIS ARCHIVE +++

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