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Bytebytego
2,232 posts
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Bytebytego
@bytebytego
Weekly system design topics you can read in 10 mins.
blog.bytebytego.com
Joined March 2022
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  • Pinned
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    Bytebytego
    @bytebytego
    Jul 16, 2024
    The Big Archive for System Design - 2023 Edition (PDF) is available now. And it's completely FREE. The PDF contains 𝐚𝐥𝐥 𝐦𝐲 𝐭𝐞𝐜𝐡𝐧𝐢𝐜𝐚𝐥 𝐩𝐨𝐬𝐭𝐬 published in 2023. What’s included in the PDF? 🔹 Netflix's Tech Stack 🔹 Top 5 common ways to improve API
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  • Bytebytego reposted
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    Alex Xu
    @alexxubyte
    11h
    Microsoft Foundry runs AI agents for 80,000+ enterprises. We wanted to understand what it takes to build AI agents at this scale, so we spoke with @amrcn_werewolf , VP of Product for Microsoft Core AI. He explained the two high level engineering ideas behind the platform,
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  • Bytebytego reposted
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    Alex Xu
    @alexxubyte
    Jul 7
    git merge vs git rebase Which one do you prefer?
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  • Bytebytego reposted
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    Alex Xu
    @alexxubyte
    Jul 6
    12 popular vector databases help you get the right context to the model
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  • Bytebytego reposted
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    Alex Xu
    @alexxubyte
    Jun 26
    Design Patterns Cheat Sheet The cheat sheet briefly explains each pattern and how to use it. What's included? - Factory - Builder - Prototype - Singleton - Chain of Responsibility
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    Bytebytego
    @bytebytego
    Jun 25
    RT @alexxubyte: API Security Best Practices Most API breaches happen because of broken authorization, leaked secrets, or missing rate limi…
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  • Bytebytego reposted
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    Alex Xu
    @alexxubyte
    Jun 24
    RAG vs Graph RAG vs Agentic RAG
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  • Bytebytego reposted
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    Alex Xu
    @alexxubyte
    Jun 23
    An Ex-Meta L8’s Agentic Engineering Setup In this guest article, @kunchenguid shares the agentic engineering workflow he uses on a day-to-day basis. Read the full article here: blog.bytebytego.com/p/an-ex-meta-l…
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  • Bytebytego reposted
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    Alex Xu
    @alexxubyte
    Jun 22
    Redis Data Structures Every Engineer Should Know
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  • Bytebytego reposted
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    Alex Xu
    @alexxubyte
    Jun 19
    Single Agent vs. Multi-Agent Architecture Some tasks need a single agent. Others need a whole team. Knowing the difference is the skill. Single-agent system: One reasoning LLM that plans, picks a tool, and loops on its own until the task is done. Use a single agent when: - the
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  • Bytebytego reposted
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    Alex Xu
    @alexxubyte
    Jun 16
    Twelve models worth knowing in 2026, each with one standout strength.
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  • Bytebytego reposted
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    Alex Xu
    @alexxubyte
    Jun 15
    SLMs vs. LLMs, Clearly Explained
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  • Bytebytego reposted
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    Alex Xu
    @alexxubyte
    Jun 11
    The Typical AI Agent Stack, Explained
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    Bytebytego
    @bytebytego
    Jun 10
    How to Run LLMs Locally
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    36K
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