cache-optimization

#cache-optimization

@jakevin7: I increasingly feel that Maka is very suitable for learning Agent. For example, recently a Maka core dev raised an issue discussing DeepSeek's cache optimization. The whole process is transparent: 1 issue + 8 PRs pushed through, from usage normalization → …

X AI KOLs Following ↗ · 2026-06-16 Cached

A tweet and project description introducing the Maka desktop AI workbench, discussing cache optimization in Agent development, runtime engineering issues, and Maka's functional architecture as a local-first tool.

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#cache-optimization

@NFTCPS: Holy cow! DeepSeek is trying to sweep all the Agents off the market, giving you the whole family bucket! Even Reasonix didn't escape, directly acquired. To put it in plain English: This is the native terminal that can save you the most on your DeepSeek bill. Tool calls are rock solid, no glitches. Relying on cache hits, it slashes API costs down to your ankles—broken bones don't even describe it.

X AI KOLs Timeline ↗ · 2026-05-26 Cached

DeepSeek-Reasonix is a native terminal AI coding agent based on DeepSeek, drastically reducing API costs through cache hits, with stable and reliable tool calls.

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cache-optimization

@jakevin7: I increasingly feel that Maka is very suitable for learning Agent. For example, recently a Maka core dev raised an issue discussing DeepSeek's cache optimization. The whole process is transparent: 1 issue + 8 PRs pushed through, from usage normalization → …

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