Turning vibe coders into software engineers, one episode at a time. We share our learnings on how AI can augmenting developer, not replacing their craft.
Joined March 2015
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Fragmented Podcast retweeted
We all know @pidotdev is a masterclass in nailing the core primitives. How do they do it?
On the latest @FragmentedCast, I had the distinct honor of finding out the answer from the legends themselves - @badlogicgames & @mitsuhiko of @earendilworks.
They help unpack the engineering philosophy behind Pi and its new library, Pi Durable.
I learnt a tonne, and they helped formulate a few rules I'm going to carry strongly forward in this AI coding era:
1️⃣ Keep primitives simple enough to fit in your head.
2️⃣ Agents can deal with tedium no sweat; go with explicit state declarations over automagic checkpointing.
3️⃣ Sometimes, you just can't machine learn your way out of software engineering.
They shared a tonne of other insights in the most jovial way possible ❤️
Grab those headphones and listen to the full episode 👇
fragmentedpodcast.com/episod…
YouTube:
youtu.be/7mBQknCnovM
Spotify: open.spotify.com/episode/4Kv…
Fragmented Podcast retweeted
Self-learning harnesses are here.
After @deepseek_ai released their new harness, even the authors of Pi & OpenCode said there were some super compelling ideas in there. But what exactly?
@IurySza and I take a shot at explaining it in @FragmentedCast
Fragmented Podcast retweeted
This week @kaushikgopal and I had the pleasure to chat @mitchellh on the pod🎙️!
Refreshing to hear someone of his caliber bring such a grounded perspective to agentic coding.
We also talked about Ghostty, and how terminal performance gains make tools like Claude Code possible. (He even explains what's behind scrollback perf issues).
A lot of gems in this one. Check it out!
🎙️ Our first guest in the AI series is the legend @mitchellh 🎙️
We covered a lot of ground and learned a tonne from him: 👻 Ghostty's internals and why tmux & certain shells strip its best features. His path from AI skeptic to cautious optimist.
🎙️ Our first guest in the AI series is the legend @mitchellh 🎙️
We covered a lot of ground and learned a tonne from him: 👻 Ghostty's internals and why tmux & certain shells strip its best features. His path from AI skeptic to cautious optimist.
The calendar alerts he sets for warm starts. Hail Mary prompts across GitHub issues. Why AI leaderboards are BS and rarely translate to value. A vibecoder he respects who's actually shipped.
Listen to that and more 👉
fragmentedpodcast.com/episod…
We're going to be releasing ep 310 (our 10th episode in the new series) in the next day or two.
🎙️ it's an ultra special one cause we're starting up the guest series again... and boy do we have a guest for you.
stay tuned!
Karpathy's goal for agents: maximize how long they run without intervention.
While individual speed is going up, "system" speed isn't (the false summit ⛰️).
In ep 309 we talk about resolving this tension with Background Agents!
Listen to episode 309 - Background Agents
fragmentedpodcast.com/episod…
Our LLM explainer (ep 303) got pretty popular, so we thought we'll follow up with the natural progression - how do image models work - in 20 minutes!
also... what does Michalangelo have to do, with understanding stable diffusion models? 🤔
More than you'd think!
Listen to @kaushikgopal & @IurySza talk about this in episode 308, and find out.
fragmentedpodcast.com/episod…
OpenAI spent 20% of every week cleaning up AI slop from their own coding agents. So they built a "harness" shaping the agent's environment so the slop never ships in the first place.
New episode 307 on Harness Engineering !
@kaushikgopal & @IurySza dug into:
- shaping the agent environment & 5 themes for harness engineering
- then on building a harness
For your ears 🎧
fragmentedpodcast.com/episod…
Are AGENTS[.]md files even useful? There’s finally a paper asking the obvious question.
@kaushikgopal and @IurySza get into the paper, the sync problem, and the small amount of discipline required to stop your agent setup from turning into a mess.
Listen to our newest episode: Keeping your agent instructions in sync and effective
fragmentedpodcast.com/episod…
We almost shipped an episode with a silent master track 😬
Adobe Podcast returned 58 minutes of completely silent video for one of our episodes. No audio. Just two guys miming a podcast. 😨
Here's how we recovered it 🧵
A script that analyzed mouth movements frame-by-frame from the silent video, correlated that motion signal against audio energy bursts in our local recordings, and recovered the exact timing offsets.
... only felt like this simplest solution 😅
No episode this week dear listeners but fun newsletter with that story and 10 promised tips from @IurySza and @kaushikgopal
buttondown.com/fragmentedcas…
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Master subagents and your AI coding sessions stay sharp for hours with clean results and no context pollution.
Under the hood though? they're just a tool call. One model prompting another in a scoped context. 💡
If you're curious to learn more about subagents, new @FragmentedCast ep out with @kaushikgopal & @IurySza!
what subagents actually are, a convenient RTS scout analogy, when to spawn them vs when not to. all in this week's episode!
fragmentedpodcast.com/episod…
thanks for sharing our episode last weekend @androidweekly 🙌
Ep 303 explains how LLMs work in a simple and relatable way. It really is one we'd love all devs to listen to.
