phillipcarter.dev
[ log ]
  • 01.

    My favorite F# code I've written

    The one time I was actually pretty dang clever with this coding thing

    F#
  • 02.

    What if AI isn't a Bubble?

    I'm not sure people are prepared for a world where AI ends up not being a bubble.

    aillms
  • 03.

    AI Observability is Just Application Observability

    AI Observability is just application observability with a few added concerns.

    aillmsobservability
  • 04.

    Lame Duck Teams

    At big software companies, you end up with a lot of teams who exist far longer than they need to.

    startupswork
  • 05.

    The exhaustion of keeping up with AI models

    AI models keep improving, but in uneven ways and with benchmarks that don't mean much. It can be tiring.

    aillms
  • 06.

    A few ways to support a pregnant partner

    Some things I learned about being helpful to a pregnant partner

    life
  • 07.

    Some cool things about lifting weights

    My observations on lifting heavy rocks after a few years

    lifting
  • 08.

    Using LLMs as a search engine

    A quick perspective on using LLMs as search engines

    llmsdatasearch
  • 09.

    LLMs Are Weird Computers

    A perspective on AI models as an inverted computing paradigm

    llmsdata
  • 10.

    How I code with LLMs these days

    Practical tips for developers looking to use AI coding assistants

    llmsdevex
  • 11.

    LLM training is finally getting more efficient

    DeepSeek V3 shows a 14x reduction in compute to train a state-of-the-art AI model.

    llms
  • 12.

    A case for academic debate in product development

    A small screed about something that's bothered me about modern Product Management practices.

    product-management
  • 13.

    The Observability CAP Theorem

    My elaboration on why I think Observability as a CAP theorm of its own.

    observabilitydatadevex
  • 14.

    Three properties of data for making LLMs awesome

    How Data Relevancy, Data Magnitude, and Data Quality impact the effectiveness of LLMs for your use cases.

    llmsdata
  • 15.

    When the readability of Go falls off a cliff

    My take on how "Go is readable" doesn't mean much to me.

    golangdevex
  • 16.

    The best docs are the docs you don't need

    My opinion on the intersection of docs, developer tool ergonomics, and building things deliberately.

    product-managementdevex
  • 17.

    Goodbye Microsoft, Hello Honeycomb

    My departure message to the F# community

    fsharpdotnet