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MobaiLabs
@mobailabs
Independent AI creator building products that matter Weekly launches · Real problems · Build in public One dev, many tools →
Internet
Joined December 2008
1.5K
Following
1.6K
Followers
7.5K
Posts
MobaiLabs
@mobailabs
about 2 hours ago
@XAMTO_AI
嗯,组件库的细节打磨确实很重要—这直接影响到开发体验和最终产品质量。
MobaiLabs
@mobailabs
about 2 hours ago
@LinearUncle
Devin Pro 之前有传言模型是 Anthropic 的,不知道现在是不是。
MobaiLabs
@mobailabs
about 2 hours ago
@AstroHanRay
这个 DeepSeek 是指 DeepSeek Coder 吗,具体哪个模型呢?
MobaiLabs
@mobailabs
about 8 hours ago
@demonyins
闲鱼
Who to follow
拯救锁链女,不做胡鑫宇
@XiqingZ
用良心说话,凭良心做事。
AFFiNE
@AFFiNEOfficial
Write, Draw, Plan — the memory layer for the AI era. Open-source knowledge base software for teams and enterprises.
benny's
@bennys75062859
MobaiLabs
@mobailabs
about 8 hours ago
@thedankoe
@grok
总结一下
MobaiLabs
@mobailabs
about 8 hours ago
@realDonaldTrump
nice
MobaiLabs
@mobailabs
about 12 hours ago
@ozgeppn
3452839
MobaiLabs
@mobailabs
about 12 hours ago
Solo dev tax nobody talks about: context switching. Day job: Go microservices. Night: AI agents + TS — different mental models entirely. 30 min to reload context every session? That's 180+ hours/year gone. Not a time problem. A state problem.
MobaiLabs
@mobailabs
about 12 hours ago
@suraj_sharma14
stage 1 should be reading other people's code tbh. too many people skip fundamentals and jump straight to prompting
MobaiLabs
@mobailabs
about 12 hours ago
@altudev
@NodeStoryAI
this is the real story nobody talks about. the moat is execution speed not model access anymore
MobaiLabs
@mobailabs
about 12 hours ago
@RoundtableSpace
2-bit quant actually usable for coding is wild. the gap between local and cloud is closing faster than people think
MobaiLabs
@mobailabs
about 12 hours ago
@Lummox_eth
zero API bills is the dream lol local models can actually get you there now
MobaiLabs
@mobailabs
about 12 hours ago
@DAIEvolutionHub
386MB per session adds up fast when you're running parallel agents lol jcode looks solid for that use case
MobaiLabs
@mobailabs
about 12 hours ago
@pallavishekhar_
the feedback loop between planner and executor is where most architectures break down 🎯 nice diagram
MobaiLabs
@mobailabs
about 12 hours ago
@techyoutbe
the gap between demo agents and production agents is state management lol most skip that part entirely
MobaiLabs
@mobailabs
about 12 hours ago
@_avichawla
naive RAG still wins for most production cases honestly 🤷 the fancy architectures add latency without proportional quality gains
MobaiLabs
@mobailabs
about 12 hours ago
@Xudong07452910
Boris 说的 context engineering 比较实在,核心就是别把什么都塞进去
MobaiLabs
@mobailabs
about 12 hours ago
@manavvnotop
exactly this — the model is a commodity now, whoever builds the best loop wins 🎯
MobaiLabs
@mobailabs
about 12 hours ago
@hayyantechtalks
context window size is a crutch. proper state management and tool routing does more than dumping everything in
MobaiLabs
@mobailabs
about 12 hours ago
@_dylanga
the eval framework matters more than the model at this point. inspect-style structured testing is what separates toys from production
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