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Matt Makai | Full Stack Python | Plushcap
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Matt Makai | Full Stack Python | Plushcap
@fullstackpython
Software dev. Expertise in DevRel & DX. Currently building plushcap.com. Prev DevRel leader @twilio @digitalocean @AssemblyAI @launchdarkly
Virginia, USA
plushcap.com
Joined January 2015
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  • user avatar
    Matt Makai | Full Stack Python | Plushcap
    @fullstackpython
    Jul 30
    Loop engineering developer trends are now available in Plushcap. This trend tracks product features and content by dev tools companies for designing self-sustaining feedback loops around AI coding agents so they can re-prompt themselves, evaluate their own output, and iterate
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    2.1K
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    Matt Makai | Full Stack Python | Plushcap
    @fullstackpython
    Jul 27
    A few resources on local model coding agents (especially @googlegemma 4) that I'm really enjoying learning from recently: * simonpcouch.com/blog/2026-04-1… - 14-24B dense local models scored 0/10 on his refactoring eval but Gemma 4 26B-A4B jumped to 9/10. 26B parameters but MoE 4B active
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    2.5K
  • user avatar
    Matt Makai | Full Stack Python | Plushcap
    @fullstackpython
    Jul 20
    🙏 looking forward to seeing everyone later this week!
    user avatar
    Major League Hacking (MLH)
    @MLHacks
    Jul 20
    We're thrilled to welcome Matt Makai (@fullstackpython) as a speaker at DevRelCon '26. The creator of Plushcap and Full Stack Python on spotting durable dev trends early. See Matt speak at @devrelcon NYC, July 23. nyc.devrelcon.dev
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    2.7K
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    Matt Makai | Full Stack Python | Plushcap
    @fullstackpython
    Jul 16
    What an incredibly well-written, thoughtful, and informative article on data tools from a developer perspective, "Guide to data tools landscape for devs": sinja.io/blog/data-land… Reminds me of some of my other favorite technical posts in areas like storing & accessing data, how
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    1.3K
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    Matt Makai | Full Stack Python | Plushcap
    @fullstackpython
    Jul 14
    Several articles & resources I’ve been reading lately to learn about how LLM architectures have evolved: * finbarr.ca/five-years-of-… 5 years of GPT-class model progress, only goes to 2023 but that puts more focus on early models where details are precisely known *
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    7.4K
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