HeyJaredDebugging Dan
Debugging Dan is where I’ll be sharing my personal experiences as I juggle being a husband and a dad, having a full-time job and a passion for side projects. It’s not so much about debugging code, that’s a metaphor.
- Indexed episodes, last 90 days
- 7
- Latest publication
- Sep 5, 2026
- Audience
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- Earliest in this view
- Jul 3, 2026
Latest episodes
Use AI For Tasks (opens the original)
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Dan’s take is: don’t treat AI like a text generator machine. Instead, use it to handle the boring, repetitive stuff and turn your work into actual actions. He argues that future differentiation will come from human communication—AI-generated words/images are getting easier to spot, and the “real you” still matters. But for actionable, repeatable workflows (especially programming and admin tasks), AI can be really powerful—especially with tool-calling, goals/loops, and validation so the work gets
Can You Record a Podcast With a Drone? (opens the original)
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Dan talks about how he’s been recording his podcast for fun—at first right at his desk, then switching to recording during his morning walks to get more free time. He’s been doing audio-only since he doesn’t use a camera, so he’s running a new experiment: using a drone to record video while he records his podcast. After seeing a YouTube creator use drones, he picked up an affordable DJI drone and tries to have it track him along the path. It works sometimes, but tracking gets tricky when he isn’
I use AI... Then Don't (opens the original)
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Dan talks about how his AI use tends to come in cycles. He’ll go all-in for a while—having AI draft emails and messages, handling a lot of the “communication + creative” stuff—but then his confidence drops. Sometimes he notices the outputs feel off or too generic, so he starts being more critical, revisits drafts, and decides he should write more himself next time. Then, when he’s busy again and the AI feels good enough, he ramps back up and repeats the pattern. He argues AI isn’t really replaci
AI Impact on Live Coding Streams (opens the original)
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Dan talks about why he never got around to live-streaming coding much in the past, but lately they’ve been thinking about how it would work now, especially with AI coding/agentic workflows. They bring up an example like Kitze—someone who stopped streaming because sharing the prompts could feel proprietary. Dan wonders how to handle that without making the stream boring, since AI-driven coding often has lots of downtime while the agent runs. Stay connected! Follow me on Bluesky at @debuggingdan.c
The Infinite AI frontier (opens the original)
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On his daily walk, Dan reflects on the “infinite frontier” of AI: models keep getting updated, and what was great a year ago can suddenly feel behind today. They talk about juggling different model tiers (more expensive “big” models vs cheaper ones) and how people often just YOLO the latest option instead of picking the right tool, until older models get retired and you lose practice with prompt-heavy workflows. Stay connected! Follow me on Bluesky at @debuggingdan.com for the latest updates, an
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