Pinned
Markdown -> HTML -> Gen-UI Introducing Visual Artifact Renderer: github.com/iurysza/visu... (i probably need a better name) If you end up trying it, let me know what you think.
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
Pinned
Markdown -> HTML -> Gen-UI Introducing Visual Artifact Renderer: github.com/iurysza/visu... (i probably need a better name) If you end up trying it, let me know what you think.
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.
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...
Markdown -> HTML -> Gen-UI Introducing Visual Artifact Renderer: github.com/iurysza/visu... (i probably need a better name) If you end up trying it, let me know what you think.
I have as much content for Euro bureaucrats as the next person, but dont fall for this story as " The mean EU" blocking "poor little Apple" from releasing nice features to their users.
I have as much content for Euro bureaucrats as the next person, but dont fall for this story as " The mean EU" blocking "poor little Apple" from releasing nice features to their users.
Last year we built TapToPay product for Klarna. We had a tiny, but great team and were able to build super fast, but it literally took Apple 11 years to open their Wallet API, which only happened after pressure from the European Commission. Competition is for losers www.youtube.com/watch?v=3Fx5...
developers.googleblog.com/an-important... RIP Gemink CLI. I like the vision. Hope it works :)
The better agents get, the easier it is to outsource the part you probably shouldn't outsource: figuring out what to build. Plan Mode should only used after extracting the intent behind the task. Ive added a few tools to my workflow for achieving that. More on that: iurysouza.dev/newsletter/w...
www.youtube.com/watch?v=J8fH... I actually liked Jetbrain's positioning here. "Bring your own agent (ACP compatible) and we'll make sure it is capabilities are augmented by the tools we build."
Listen to @kau.sh and I chatting with him on ep 310 - Mitchell Hashimoto on Ghostty & His Agentic Coding Workflow fragmentedpodcast.com/episodes/310/
Mitchell Hashimoto shares how he views Ghostty as a platform for the next generation of TUI applications. This is just a clip from ep 310 of the @fragmentedpodcast.com. Full episode: fragmentedpodcast.com/episodes/310/
Want more evidence and what to do about that? 📬 Full piece in the newsletter newsletter.iurysouza.dev/p/how-sota-m...
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! ✌️
The 🤖 Android team just released three things that are a great example of what your team or company can build too: - Android Skills - Android CLI - Android Knowledge Base developer.android.com/tools/agents/
Now, you put these pieces together and you get an agent that can understand and work with Android much better than before. My pro tip is that you can take that same idea and apply it to your own team or company. You probably already have custom scripts and tools, docs, and ways of doing things.
✍️ Harness Engineering: newsletter.iurysouza.dev/p/the-feed-s... ✍️ Knowledge Bases: newsletter.iurysouza.dev/p/fixing-age... 🎙️ Agent Skills: fragmentedpodcast.com/episodes/304/ 🎙️ Harness Engineering: fragmentedpodcast.com/episodes/307/
The 🤖 Android team just released three things that are a great example of what your team or company can build too: - Android Skills - Android CLI - Android Knowledge Base developer.android.com/tools/agents/
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.
Then there’s the knowledge base. It gives the agent fresh context from Android documentation in a way that’s easy to search and retrieve. Instead of fumbling through webpages and 3rd party tools, the agent can pull in the right context when it needs it newsletter.iurysouza.dev/p/fixing-age...
The 🤖 Android team just released three things that are a great example of what your team or company can build too: - Android Skills - Android CLI - Android Knowledge Base developer.android.com/tools/agents/
Skills are just normal agent skills, which most of us know by now. We even did a @fragmentedpodcast.com episode on the topic: fragmentedpodcast.com/episodes/304/ These skills inject the right context directly into the agent and help steer it when it’s working on specific tasks.
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!
🎙️ 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.
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...
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!
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...
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).
I'm sharing a new article every week: - 🔗 Subscribe!: newsletter.iurysouza.dev - 🔗 issue 04: newsletter.iurysouza.dev/p/openclaw-c... OpenClaw was the first loud demand signal for personal agents. Then came the forks, the clones, Kimi Claw, QClaw, and now Claude's Cowork Dispatch.
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?
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.
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!
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
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
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