🎧 START pod: Tejas Bhakta, Founder & CEO , Morph "Subagents and tools that improve coding agents"

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Agents don’t need bigger models. They need better tools. Morph trains coding subagents. Not for humans. For frontier models. Fast Apply edits at 10,000 tokens/sec. WarpGrep handles code and log search. Both keep the main model’s context clean Because when context gets too large, performance drops. Now Morph is pushing coding subagents even faster. One newer model runs at 33,000 tokens/sec: https://docs.morphllm.com/sdk/components/compact 🎙️ Tejas Bhakta, Founder & CEO, Morph 01:30 Fast Apply + WarpGrep 02:26 Context fills up around 100k 02:38 Keep the main model context clean 03:31 “You can’t scale human attention 100x” 07:28 Founders are missing how to value human attention 08:30 New model at 33,000 tokens/sec 10:08 Better, faster, and cheaper than the frontier

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🎧 START pod: Tejas Bhakta, Founder & CEO , Morph "Subagents and tools that improve coding agents"

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