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Martin Mauch nightscape

  • Regensburg, Germany
  • 13:50 (UTC +02:00)
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Thank you for your work on Bleep! Developing a first-class Scala build experience that goes beyond Sbt is a daunting task, but one I believe is very much necessary for the health of industrial Scala.

Some preliminary thoughts:

Thank you for having a look and sharing your thoughts around this, greatly appreciated!

  1. I love that you went build-as-data. Tooling matters, and the build tool is the center of the entire tooling pipeline. Other tools need the ability to both read and write build data, and this can only be done economically with build-as-data.

Bleep is an experiment of thow far we can take build-as-data. So far I see no limits 🚀

@veekaybee
veekaybee / normcore-llm.md
Last active May 15, 2025 00:06
Normcore LLM Reads

Anti-hype LLM reading list

Goals: Add links that are reasonable and good explanations of how stuff works. No hype and no vendor content if possible. Practical first-hand accounts of models in prod eagerly sought.

Foundational Concepts

Screenshot 2023-12-18 at 10 40 27 PM

Pre-Transformer Models

@johnhungerford
johnhungerford / getEither.scala
Last active October 15, 2024 07:21
Kotlin/TypeScript -like syntax for accessing nested optional types
//> using scala 3.3
import scala.util.{Failure, NotGiven, Success, Try, boundary}
import boundary.{Label, break}
import scala.annotation.targetName
/**
* Proof of concept implementation of a syntax similar to Kotlin and
* typescript. Within the context provided by [[getEither]], you can call
* `?` on any optional/failable type (currently supports [[Option]],
@disler
disler / README.md
Last active May 8, 2025 20:59
Use Meta Prompting to rapidly generate results in the GenAI Age

Meta Prompting

In the Generative AI Age your ability to generate prompts is your ability to generate results.

Guide

Claude 3.5 Sonnet and o1 series models are recommended for meta prompting.

Replace {{user-input}} with your own input to generate prompts.

Use mp_*.txt as example user-inputs to see how to generate high quality prompts.