Overview
Trend treating verifiable executable repositories and reward infrastructure as the scarce resource for training coding agents — exemplified by kwaikat autobuilder.
Timeline
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2026-07-28: jetbrains Research kotlinllm open-source Smart macros (2026-07-28-jetbrains-kotlinllm-open-source)
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2026-07: kat-coder-v2-5 trained on 100k+ verifiable envs; SWE-Bench Pro #2 (2026-07-26-kwaikat-kat-coder-v2-5)
Key Players
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anthropic (Opus harness baseline)
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hugging-face (Dev weights)
Analysis
Open-weight Dev models and served Pro models may diverge; environment quality can dominate parameter count in practitioner outcomes.