EECS AASE Podcast
Said "eek's ay-two-ess-ee". Two short companion episodes per lecture: a Brief before class that teases where we're headed, and a Deep Dive after class that walks the full arc. Episodes are AI-generated audio, produced from course materials and de-identified lecture transcripts; no student is ever named or identifiable. A text transcript accompanies every episode.
Subscribe
RSS (works everywhere)
Add the feed URL to any podcast app:
Directories
Apple Podcasts and Spotify links land here once the directories finish listing the show. The RSS feed works today.
Episodes
L01 Brief: Course intro + the AI coding landscape
Season 1, episode 1. A short teaser for Lecture 1 of EECS 498 AASE (Tue Sep 1): the shape of the course and the question the whole semester hangs on. AI-generated audio, produced from course materials.
L02 Brief: How LLMs Code (Under the Hood)
Season 1, episode 2. A short teaser for Lecture 2 of EECS 498 AASE (Thu Sep 3): what is actually happening inside the model when it writes code, and why the mechanics matter the moment something goes wrong. AI-generated audio, produced from course materials.
L03 Brief: The Big Three: Context, Model, Prompt
Season 1, episode 3. A short teaser for Lecture 3 of EECS 498 AASE (Tue Sep 8): the three-lever diagnostic behind every AI coding session, and why the model is usually the wrong thing to blame. AI-generated audio, produced from course materials.
L01 Deep Dive: Course intro + the AI coding landscape
Season 1, episode 4. The full-arc companion to Lecture 1, generated after class from the course materials and a de-identified transcript of the lecture as delivered. AI-generated audio.
L01 Deep Dive (full): Course intro + the AI coding landscape
Season 1, episode 5. The full-arc companion to Lecture 1, generated after class from the course materials and a de-identified transcript of the lecture as delivered. AI-generated audio.
L04 Brief: Spec-Driven Coding
Season 1, episode 6. A short teaser for Lecture 4 of EECS 498 AASE (Thu Sep 10): why the bottleneck moved from writing code to deciding what you want, and what a specification buys you that a prompt does not. AI-generated audio, produced from course materials.