iury souza

iury souza

@iurysouza.dev

Platform Eng @ Sumup • GoogleDevExpert • 🎙️ Co-host @fragmentedpodcast.com • Agentic Coding • terminal maximalist - 🔺MG em Berlim - iurysouza.dev - linktr.ee/iurysza

1.1K followers688 following884 posts

L1 Ghostty + Herdr + Termius L2 Hunk + Nvim L3 Pi + Opencode L4 pi-ext + Plannotator + pi-subagents L5 kimi-2-7 + GPT-5.5

Feels like ages ago. You'd be hard pressed to find anyone who disagrees with this trajectory nowadays, but back then it felt almost like a taboo in some circles.

iury souza@iurysouza.dev

I’ve avoided this topic because of the noise and heated debates, but I think we recently crossed a line. The polarization is still there but it doesn't change the outcome anymore: this isn't a fad. It's the new baseline. iurysouza.dev/agentic-codi...

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The news you see every where today sounds like a mix of a psy-op to make the EU soften up to these corps, and the fact that they only manage to get these half-baked features ready way too close to release, so they don't even try to address things like being anti competitive.

Also, China is mentioned as a foot note: "we're just obeying local laws". Typical. PS: android has pretty much all those AI features working in the EU since 2024.

Now with "Inteligence suite" it's exactly the same story Apple told during Epic v Apple, which they lost, and were later found in contempt of court on. The iPhone would be MUCH better if AI assistants could compete in a free market, rather than locking out competitors and paywalling what’s left.

So they're offering to build the infra to tighten the agentic loop while making sure you can jump from one to another without friction. It's a good proposition. That is, if they can pull it off.

Ever wondered why they still can't fix Claude Code flickers? Spoiler: It's not because of TS/JS or react! Mitchell Hashimoto (Ghostty's author) explains in this short clip the reason behind that and how Ghostty could address the root cause, enabling even more demanding TUI applications.

SOTA is becoming a luxury tier. I think that is the cleanest way to read what has been happening lately. State-of-the-art models were always too expensive to serve at scale and now that bill is finally due.

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You are not supposed to run the smartest model for everything and that changes how I think about tooling, product design, and personal workflows. If your work depends on permanent, cheap access to frontier models, you are tying yourself to their subsidy schedule. Do not recommend.

SOTA is becoming a luxury tier. I think that is the cleanest way to read what has been happening lately. State-of-the-art models were always too expensive to serve at scale and now that bill is finally due.

Around Q3-25 a LOT of companies went full in the tokenmaxxing route. That doesn't look that smart anymore. Last week Anthropic decided to not release Mythos, then announced that their own harness now has an Advisor Strategy pattern.

Still buzzing from my time at AndroidMakers 🇫🇷 by droidCon! It was awesome to share about edge-AI, to catch up and listen to exchange ideas with people building great products! Thanks to @gregfawson.bsky.social and all the staff for making this happen! Till next time! ✌️

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The Android CLI is basically the bridge between the non-deterministic world and the deterministic one. Once you have an agent guided by skills, the CLI gives it a reliable way to actually do the things. It exposes tools in a simple, structured way so agents can use them effectively.

github.comGitHub - iurysza/android-use: A CLI + SKILL for Android device automation built for agents and humans.A CLI + SKILL for Android device automation built for agents and humans. - iurysza/android-use

This week @kau.sh and I had the pleasure to chat with Mitchell Hashimoto on the pod🎙️! Refreshing to hear someone of his caliber bring such a grounded perspective to agentic coding. We're super proud of this one!

Duck Droid@fragmentedpodcast.com

🎙️ Our first guest in the AI series is the legend @mitchellh.com 🎙️ 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.

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!

I’m at Android Makers 🇫🇷 this afternoon talking about “Practical On-Device AI on Android.” Excited to share about features unlocked about this new capability, reliability, hybrid approaches, models, and more. If you’re around, come join! I’d love to meet people working on similar problems.

Claude Code’s source code leaked last night. Given the speed and sheer volume of forks and spin-offs already popping up, agentic harnesses are about to surge really hard. It’s crazy out there and I actually love to see it 😈 github.com/chatgptproje...

Even from a business perspective, it arguably should've been open source from the get go. Now the whole community will be running agents on top of it non stop breaking it down to its bits.

Security issues will show up, bug fixes, language ports, alternative UI/UX, everything will be built on top of that foundation. Whatever comes out of that will be much much better. They had a good run. Open source forks will take it from here.

iury souza reposted

this one was fun to make. @iurysouza.dev and I took a crack at explaining how image models (stable diff.) work in ~20 minutes. building an intuition around AI is starting to matter a whole lot and that starts by understanding the mechanics. hope you get as much out of it as we did making it!

Duck Droid@fragmentedpodcast.com

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 stable diffusion models? 🤔 Listen to ep 308 to find out fragmentedpodcast.com/episodes/308

If you want to get some intuition behind how some of the image models out there work, this episode is for you! @kau.sh and I had a go to try and break it down in a short episode. No need for a masters in deep learning to understand some of the clever tricks behind image generation. Check it out!

this one was fun to make. @iurysouza.dev and I took a crack at explaining how image models (stable diff.) work in ~20 minutes. building an intuition around AI is starting to matter a whole lot and that starts by understanding the mechanics. hope you get as much out of it as we did making it!

If you're unsure what model your machine can handle, you can check axjns.dev llmfit. It's a TUI that profiles your hardware and scores models to tell you exactly what fits in your RAM/VRAM. This is it running on my mac:

what I'm using: bsky.app/profile/iury...

iury souza@iurysouza.dev

Jumped from 20 TPS to 80 TPS ⚡ on my M4 Pro. The trick is that this version uses a MoE architecture with 3 billion active parameters. That makes it way faster. I was running the base model via GGUF (ollama), and now running on MLX (vlm - because this is a vision model too).

Issue 04: Openclaw, Cowork and the personal agent market fit Openclaw hype refuses to die and while the project had obvious safety issues from day one people still wanted it anyway. Anthropic realized that and just released Cowork's Dispatch feature. I write more about this on the newsletter btw:

Anthropic is packaging the same category for a much broader audience. OpenAI saw it. NVIDIA saw it too. This is more than one viral repo. People want agents that feel personal, configurable, and useful enough to handle real work. We may be witnessing the birth of a new platform.

iury souza reposted

love the analogy that Iury gave - think of your AGENTS[.]md like the constitution of your codebase! we also go into an important paper that tries to answer the question that we've all had at some point - are these AGENTS files we're all meticulously creating, even worth it?

Duck Droid@fragmentedpodcast.com

Are AGENTS[.]md files even useful? There’s finally a paper asking the obvious question. @kau.sh and @iurysouza.dev get into the paper, the sync problem, and the small amount of discipline required to stop your agent setup from turning into a mess. 🎧 fragmentedpodcast.com/episodes/306

iury souza reposted

This is the real work that teams need to put in, to get the best results from their AI coding agents. listen to our latest episode on Harness Engineering.

Duck Droid@fragmentedpodcast.com

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. @kau.sh & @iurysouza.dev talk about "Harness Engineering" in the latest ep. fragmentedpodcast.com/episodes/307/

Platform engineering for agents! ​If you know plat-eng, you get how tooling helps teams move faster while keeping code standards. Now Harness engineering bridges that concept, turning a repository into an environment purposebuilt for agentic coding. Think we're finally getting out of the weeds!

Duck Droid@fragmentedpodcast.com

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. @kau.sh & @iurysouza.dev talk about "Harness Engineering" in the latest ep. fragmentedpodcast.com/episodes/307/

iury souza reposted