
DSL is an acronym for Domain-Specific Language(s) in the context of programming
Returning to an older version of a Python project to update it. See a code snippet below
def parse_feed():
"""Function to parse the feed"""
# This will extract and display information
for entry in feed.entries:
print("Post title:", entry.title)
print("Author:", entry.author)
print("Date:", entry.published)
print("Summary:", entry.summary)
print("Link:", entry.link)
if __name__ == "__main__":
parse_feed()
Setting up a codespace for a project can be a timesaver
Accepting the tradeoffs of demonstrating skills in a synchronous environment
Noting what makes a difference in my context
Pairing on a new technical challenge is as much about the environment we create as the willingness to problem-solve through ongoing conversation
Applying some critical thinking skills to anything AI-generated remains essential and valuable. It also means continuing to build one’s knowledge in any given subject area
It’s crucial to remain aware of the skills and experiences you bring to a project or a team
Supportive and engaged communities of practice often have this thing in common: how they consistently respond to folks who ask for help (from small asks to bigger ones)
Domain Specific Languages, Jetbrains
Mastering Ruby’s instance_eval: A Deep Dive into Dynamic Code Evaluation, Iyadi Cyril Osita
Write your own Domain Specific Language in Ruby..., Tom de Bruijn
Content design skills you need beyond writing and editing, Dawn Kofie
The State of Skills-Based Hiring 2025, TestGorilla
How I Gained My Confidence, Taylor Poindexter
How Allies Can Help Close the Divide: The Feedback Edition, Better Allies
Stay Hopeful, and Other Actions for Allies, Better Allies
Being a Better Ally in This New World of AI, Better Allies
Embrace the Do-Over, and Other Actions for Allies, Better Allies
Léonard de Vinci, au-delà de l’artiste, un savant touche-à-tout… et sans diplôme, Pascal Brioist
Wonderwomath, la marraine aux super-pouvoirs ! Fête de la Science 2025
The AI Economist: The Skill You Need to Stay Employed in the Age of AI, Sinéad Bovell in conversation with Ajay Agrawal
It may take some work to find, but there are workplaces out there that will accept you for you, allow you to make (calculated) mistakes, welcome your questions, and nourish you so you can grow to your full potential. — Taylor Poindexter
Podcast: People of AI, Building human-centered AI products with Ovetta Sampson
Skills-Based Hiring: The Long Road from Pronouncements to Practice, The Burning Glass Institute
Designing a No-Fuss Skills-Based Hiring Process, Aaron Teitelbaum