⏺ Final Review of the Complete DSL
A 52-line masterpiece that achieves what others need hundreds of lines and external runtimes to accomplish. This is genuinely the most elegant prompt DSL I've encountered.
As a JavaScript developer, you're likely familiar with the event loop handling asynchronous operations. However, microtasks provide a crucial middle layer between synchronous code execution and the macrotask queue that can significantly impact your application's behavior.
Think of microtasks as high-priority tasks that JavaScript executes immediately after the current synchronous operation, but before the next macrotask (like setTimeout
callbacks) or render updates.
Note
The new TurboBoost monorepo, including the State feature is still WIP. Most of the functionality has been developed and tested. Unfortunately, the effort is currently on pause as I'm tackling other priorities right now.
TurboBoost manages various forms of state to provide a terrific reactive user experience.
Here’s a breakdown of each type:
I'm experimenting with a simple template rendering solution that leverages Ruby's native String
formatting.
It feels a little bit like Mustache templates.
Note that this demo adds new "formatting specifiers" to support Rainbow color mechanics.
Tip
See the files below for the implementation... and note that this is simply a proof of concept (POC)
When crafting prompts for AI or LLMs, you can adjust various inputs or variables to tailor the model's responses. Here's a simple guide to understanding what each of these terms means:
prompt
: The question or statement you provide to the model, essentially telling it what you want to know or do.
max_tokens
: Limits how long the AI's response can be, like setting a maximum number of words or sentences it can use to answer.
50
- Makes the AI provide a concise, often one-sentence reply.
# Builds an SQL insert query for a given record | |
# | |
# @param record [ActiveRecord::Base] Record used to build the SQL insert query | |
# @return [String] SQL insert query | |
def build_insert_query(record) | |
columns = record.class.columns.reject { |col| col.name == record.class.primary_key } | |
values = columns.map { |col| record[col.name] } | |
insert_manager = Arel::InsertManager.new | |
insert_manager.into(record.class.arel_table) | |
insert_manager.insert(columns.zip(values)).to_sql |
System tests with Rails, Capybara, and Selenium (with the Chrome driver) may go rogue and spike the CPU to 100% on the spawned browser depending on how heavily you've monkey patched these libraries and/or have complex JavaScript that mutates the DOM (morphs etc.).
This supervisor class monitors the driver process and its children and will kill any rogue process that persistently spikes to >=99% CPU utilization for an extended period of time. If and when this occurs, you lose control of the browser and your tests will hang until they eventually time out or error.