Matt Makai | Full Stack Python | Plushcap (@fullstackpython) / X

Matt Makai | Full Stack Python | Plushcap

5,640 posts

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

Joined January 2015

Matt Makai | Full Stack Python | Plushcap
@fullstackpython
Jul 20
🙏 looking forward to seeing everyone later this week!
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
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
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 *
Matt Makai | Full Stack Python | Plushcap
@fullstackpython
Jul 6
It's absurd how fast you can improve a web app's agent readiness, performance, SEO/GEO, security, accessibility, and more by pointing Claude Code or Codex at this Website Spec site (specification.website) with a prompt like "Check the current implementation against this set of
The Website Specification
From specification.website
Matt Makai | Full Stack Python | Plushcap
@fullstackpython
Jul 2
A few resources on harness engineering I'm really enjoying learning from recently: * walkinglabs.github.io/learn-harness-… - excellent course that covers how to constrain agent behavior in a productive way, what the challenges are using LLMs especially maintaining context, and how to make the

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