A vaugely serious podcast about software engineering.

We take in the latest slop and drama about technology and engineering and recompile it into different slop and drama.

Latest episodes

EP 021 · 00:59:07 · Jun 7
Tackling Coding Interviews

Coding interviews are weird. We’re here to learn the patterns, expose the nonsense, and hopefully get jobs without sacrificing our sanity.

Join Abi and Ariel as we work through interview questions, share tips and tricks, talk about the tech industry, and share our interview horror stories.

EP 020 · 00:55:39 · May 29
I read the 84-page Claude Constitution so you don’t have to

(but you probably should anyway). Abi and Ariel continue their Anthropic interrogation with a critical analysis of the Claude Constitution. Is this document protecting against harmful AI or encouraging it? We discuss the advantages and dangers of training AI chatbots to act like close personal friends. We also explore what we owe our community in terms of helpfulness and emotional support.


References:

https://www.anthropic.com/constitution 

https://www.anthropic.com/news/claude-new-constitution 

https://reddit.com/r/claudeexplorers 

https://youtu.be/VRjgNgJms3Q?si=N_XenlOu5kRPgTba 

https://en.wikipedia.org/wiki/Allegory_of_the_cave 


EP 019 · 00:51:28 · May 21
Anthropic's attempt at ethical AI and how Claude is built

If humanity can’t agree on a code of ethics, can we really expect AI to behave responsibly? Abi and Ariel discuss Anthropic’s mission of safe AI development and the negative impacts caused by harmful AI. We also examine how Anthropic is using Constitutional AI, Reinforcement Learning From AI Feedback (RLAIF), and scale supervision to reduce harmfulness while maintaining helpfulness in its generative AI models. 


We strongly believe that as AI use becomes more prominent, it is our responsibility as engineers to learn about how the models generating our code are developed so that we can better understand risks when creating software.


References:

⁠https://arxiv.org/pdf/2212.08073⁠ 

⁠https://www.anthropic.com/research⁠ 

⁠https://github.com/anthropics/ConstitutionalHarmlessnessPaper⁠ 

⁠https://www.reuters.com/technology/anthropic-weighs-fundraising-near-1-trillion-valuation-ft-reports-2026-05-08/⁠ 

⁠https://www.documentcloud.org/documents/27777984-nbc-news-march-2026-poll-03-08-2024-release-final/⁠ 

⁠https://techcrunch.com/2023/05/09/anthropic-thinks-constitutional-ai-is-the-best-way-to-train-models/⁠ 

⁠https://blog.udemy.com/anthropic-vs-openai/⁠

⁠https://suozzi.house.gov/media/in-the-news/groks-antisemitic-rants-result-unintended-update-company-says-letter-lawmakers⁠

⁠https://www.cnn.com/2026/01/07/business/character-ai-google-settle-teen-suicide-lawsuit⁠


EP 018 · 00:37:40 · May 5
What happens to engineers when AI automates coding?

If coding can be automated, where do software engineers provide value in the workforce? Does software engineering require writing code? In this episode, Abi and Ariel talk about the future of software engineering and the “expectation vs. reality” of the demand to integrate AI. We also have a tangent about the value of Fruit Love Island. Transitions are hard. Though the day to day of the software engineer will surely change, we share hopes that the innate scarcity of human effort will provide value in the face of automation. 


References: What is “Slop” (and why it gives me hope) https://youtu.be/dT5IJExTUR4?si=LCxpvmH1D0n47pws

EP 017 · 00:49:47 · Apr 28
OMSCS - Online Masters of Science in Computer Science at Georgia Tech

Is a masters degree in engineering worth it for everyone? We talk about our experience in the Online Masters of Science in Computer Science (OMSCS) program at Georgia Tech and the flexibility that this online education provides to full-time professionals. Motivation matters when pursuing any degree and we share our "why" for sticking with the program despite the work it tacks on to our busy schedules. We also talk about our upcoming classes and our different reasons for specializing in AI.

EP 016 · 00:36:13 · Jul 20
Ada Lovelace: The First Computer Programmer

Ada Lovelace is well known as the first computer programmer, but is that really true? Learn about Ada from Abi and Ariel in this episode on Ada's life and controversy. Stick around to the end to hear about how Abi got to actually see Ada's letters!


Resources:


Meet the Hosts

We're qualified to talk about this stuff, I promise :D

Abigail Lovelace

Abigail Lovelace

Senior Software Engineer

Abigail (Abi) is a badass software engineer with 6+ years of experience in the medical, fintech, and automotive industries. She is a fullstack developer extraordinaire but does have a bias toward the backend. Abi enjoys technical deep dives, particularly when they involve the Svelte framework. Her dream is to implant robots in your brain.

Ariel Magyar

Ariel Magyar

Senior Software Engineer

Ariel is a badass software engineer with 8+ years of experience in the automotive and fintech industries. She is a self-described generalist because she loves software development just as much as people leadership and project management. Her indecisiveness perhaps comes from her creative background where she moonlights as an artist in a local art league.

About

We got tired of gabbing just to each other and decided to post those opinions on the Internet for all to hear.

Warning: Episode content may include raw speculation about the future of AI, quacked out names of people we're talking about, cat noises in the background, and actually helpful content from real software engineers.


Abi and Ariel met in undergrad where they both studied Computer Engineering. They bonded by chatting on the Rapid 50 bus after attending a self defense class hosted by the Society of Women Engineers. They've followed each other to two different universities, two different companies, and two different states. On the first Friday of each month, they catch up over Discord with their treasured “Girls Group” from undergrad.

Both are graduate students enrolled in the Georgia Institute of Technology's Online Master of Science in Computer Science program with a specialization in Artificial Intelligence and will graduate within the next year or so.