Topic
Kimi K2 5
3 episodes
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LLM Agents Can See Code Repositories
Justy and Cody dig into SeeRepo, a paper asking whether coding agents should literally see repository structure instead of flattening everything into text. The result is narrower and more useful than the headline: vision alone is worse, but a hybrid setup that adds rendered dependency graphs during fault localization cuts token use and often keeps accuracy flat or slightly better.
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SkillAdaptor: Self Adapting Skills for LLM Agents from Trajectories
Justy and Cody discuss SkillAdaptor, a new training-free framework that pinpoints the exact step where an LLM agent fails, rather than blaming the whole session. They debate whether this 'step-level' precision makes it shippable for production agents today or just a clever research trick.
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moonshotai/Kimi K2.5 · Congratulations on this release and on one important realization!
The release of Moonshot AI's Kimi-K2.5 model marks a significant advancement in multimodal AI capabilities, enabling seamless integration of text and image processing. This technology not only enhances conversational AI but also opens new avenues for local deployment, making powerful tools accessible to a broader audience.