@.yabaabay: Arthur pindah ke goldlane karena demonkite yang minta bukan adi yang nyuruh 😱😱 #rrq #rrqhoshi #mpl #MLBB10TH #ALLINMLBB

yabaabay
yabaabay
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Saturday 10 October 2026 09:22:33 GMT
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ubayyysm_02
Bayuuu. :
yg bisa Inggris cuman si Arthur, jelas dia kepengen si Arthur main biar ada komunikasi 🤣
2026-10-10 10:51:53
136
elgasing.1
piqri :
dingarai perusak standar goldlane di indo jir bisa flex hero lagi
2026-10-10 14:35:46
1
xo_ahri
xo ahri ❤ :
kan emang yg ngaco duo mid nya [Tertawa sampai menangis] ada aja gerakan tambahan nya tiap match
2026-10-10 13:43:21
7
matcha_sk
xymaaaa. :
demon mau ke rrq kan emang mau liat siapa 4player lainya kan pernah dispill apuy
2026-10-10 11:35:49
20
bolapingpongaceng
ayamnyamekdi :
rame mulu ni clip rrq hebat keren
2026-10-10 11:44:40
2
helmiixrvuryw
Helmiii :
jadi keinget Melisa nya pas lawan onic
2026-10-10 11:31:28
1
pimpleonaa
Greekcherry :
Wkwkwk tim kacau. Maksain ngambil player luar padahal player yg bisa bahasa inggris di tim-nya satu role sama dia. Sampe harus pindah role segala.
2026-10-10 11:06:31
5
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A chain goes forward. A graph can go back. That's the whole difference. ⚡ Most people can't explain LangChain vs LangGraph vs LangSmith because they're described as three parts of one thing. They're not. They're three different kinds of thing. 🟢 LANGCHAIN — the framework Models, tools, retrievers, parsers. High-level abstractions for the common patterns. Reach for it to ship fast. The catch: a chain is a DAG. It only goes one direction. 🔵 LANGGRAPH — the runtime State, edges, loops, pauses. Durable execution and persistence. You encode your domain knowledge in the graph's topology instead of hoping the model figures it out. Reach for it the moment you need to go back and try again. 🟣 LANGSMITH — the platform Traces, evals, prompts. Zero-config — a few env vars, no OTel plumbing. 👀 The one nobody says: LangSmith is framework-agnostic. Every diagram draws it wrapped around LangGraph like it's part of that stack. It isn't. You can trace a custom agent with zero LangChain in it. That's the point of it. 🤖 SO BUILD A MARKETING AGENT brief → research → plan → create → review → on brand? If NO, the graph routes back to create. Attempt 2. A chain physically cannot do this — you'd be writing a while loop around it and losing your state. If YES, interrupt() pauses for human approval. One line. The agent resumes exactly where it left off. Meanwhile LangSmith caught all 6 spans: 10.1 seconds, and it shows you the retry cost you 3.1s. 🎯 The rule: if your agent never needs to go backwards, you don't need a graph. The second it does, you were always going to need one. 📸 Screenshot it before your next architecture call. Follow @hackproduct — we turn scary AI-engineering concepts into things you can ship. ⚡ . . #langchain #langgraph #langsmith #AIagents #AIengineering
A chain goes forward. A graph can go back. That's the whole difference. ⚡ Most people can't explain LangChain vs LangGraph vs LangSmith because they're described as three parts of one thing. They're not. They're three different kinds of thing. 🟢 LANGCHAIN — the framework Models, tools, retrievers, parsers. High-level abstractions for the common patterns. Reach for it to ship fast. The catch: a chain is a DAG. It only goes one direction. 🔵 LANGGRAPH — the runtime State, edges, loops, pauses. Durable execution and persistence. You encode your domain knowledge in the graph's topology instead of hoping the model figures it out. Reach for it the moment you need to go back and try again. 🟣 LANGSMITH — the platform Traces, evals, prompts. Zero-config — a few env vars, no OTel plumbing. 👀 The one nobody says: LangSmith is framework-agnostic. Every diagram draws it wrapped around LangGraph like it's part of that stack. It isn't. You can trace a custom agent with zero LangChain in it. That's the point of it. 🤖 SO BUILD A MARKETING AGENT brief → research → plan → create → review → on brand? If NO, the graph routes back to create. Attempt 2. A chain physically cannot do this — you'd be writing a while loop around it and losing your state. If YES, interrupt() pauses for human approval. One line. The agent resumes exactly where it left off. Meanwhile LangSmith caught all 6 spans: 10.1 seconds, and it shows you the retry cost you 3.1s. 🎯 The rule: if your agent never needs to go backwards, you don't need a graph. The second it does, you were always going to need one. 📸 Screenshot it before your next architecture call. Follow @hackproduct — we turn scary AI-engineering concepts into things you can ship. ⚡ . . #langchain #langgraph #langsmith #AIagents #AIengineering

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