Federico Domínguez

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Federico Domínguez

Federico Domínguez

@federdm

Data Scientist and Engineer | MSCAPP @UChicago @HarrisPolicy | Economics @ITAM_mx | Dancer Medio le hago al coding. Dembow & Hip Hop fan

Chicago, IL เข้าร่วม Nisan 2011
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Federico Domínguez
Federico Domínguez@federdm·
Indicate your highest level of education: Master of Science 🤩 Glad to have finished my Masters in Computational Analysis and Public Policy (@UChicagoCAPP) from @UChicago. Also thanks to @Lluvia3g for finishing this journey with me.
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Math Files
Math Files@Math_files·
log (😅) = 💧log 😄
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Coder girl 👩‍💻
Coder girl 👩‍💻@dev_maims·
POV: you’re a developer in 2026😂
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Math Files
Math Files@Math_files·
In order to be born, you needed: 2 parents 4 grandparents 8 great-grandparents 16 second great-grandparents 32 third great-grandparents 64 fourth great-grandparents 128 fifth great-grandparents 256 sixth great-grandparents 512 seventh great-grandparents 1,024 eighth great grandparents 2,048 ninth great-grandparents For you to be born today from 12 previous generations, you needed a total of 4,094 ancestors over the last 400 years. Think for a moment: How many struggles? How many battles? How many difficulties? How much sadness? How much happiness? How many love stories? How many expressions of hope for the future? – did your ancestors have to undergo for you to exist in this present moment...
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helix
helix@helixbase·
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Anubhav
Anubhav@Anubhavhing·
Crawling an entire website used to take: A Python script. Playwright or Selenium. Proxy rotation. Rate limiting logic. Error handling. 3 hours of debugging why page 47 returned a 403. Now it's one API call. Every web scraping startup that raised millions to solve this problem just became a single endpoint. Every freelancer charging $500 to "extract website data" just lost their entire business model to a /crawl command. HTML. Markdown. JSON. Pick your format. No scripts. No browser. No headache. The entire web scraping industry just got reduced to one line of code. Someone is going to use this to clone every competitor's website by Friday. 💀
Cloudflare Developers@CloudflareDev

Introducing the new /crawl endpoint - one API call and an entire site crawled. No scripts. No browser management. Just the content in HTML, Markdown, or JSON.

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Claude
Claude@claudeai·
Introducing Code Review, a new feature for Claude Code. When a PR opens, Claude dispatches a team of agents to hunt for bugs.
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Carlos Alberto Haro
Carlos Alberto Haro@h1sort·
It feels weird to have py scripts inside skills/{skill_name}/scripts instead of a dedicated src/ directory but I guess this is the new world
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Luke The Dev
Luke The Dev@iamlukethedev·
The OpenClaw 3D office is on fire right now. PS: sound on 🔊 You can now: • Walk around the office • Follow agents with a 3D camera • Chat with each agent • Play music while they work • Edit the furniture and layout What feature should I add next? This is starting to feel less like a dashboard and more like an AI workplace.
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The Kobeissi Letter
The Kobeissi Letter@KobeissiLetter·
BREAKING: Brent oil prices surge above $82.50/barrel with gas prices now up nearly +20% since January. Keep watching oil prices as a leading indicator for a potential "deal" or market intervention. The world simply cannot afford oil prices rising toward $100/barrel.
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Chris Blattman
Chris Blattman@cblatts·
4w ago I was a Claude Code skeptic. I'm not a coder. None of the use cases were relevant. I managed teams & projects, drowning in email & overdue reminders. So I tried creating tools that would help me and... holy crap. Now I'm sharing the tools I built: claudeblattman.com
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Federico Domínguez
Federico Domínguez@federdm·
Now I spend 80% of my time interacting/discussing with AI Agents
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Pakchikpak Raja Babu
Pakchikpak Raja Babu@HaramiParindey·
Claude with different jobs
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Andrej Karpathy
Andrej Karpathy@karpathy·
It is hard to communicate how much programming has changed due to AI in the last 2 months: not gradually and over time in the "progress as usual" way, but specifically this last December. There are a number of asterisks but imo coding agents basically didn’t work before December and basically work since - the models have significantly higher quality, long-term coherence and tenacity and they can power through large and long tasks, well past enough that it is extremely disruptive to the default programming workflow. Just to give an example, over the weekend I was building a local video analysis dashboard for the cameras of my home so I wrote: “Here is the local IP and username/password of my DGX Spark. Log in, set up ssh keys, set up vLLM, download and bench Qwen3-VL, set up a server endpoint to inference videos, a basic web ui dashboard, test everything, set it up with systemd, record memory notes for yourself and write up a markdown report for me”. The agent went off for ~30 minutes, ran into multiple issues, researched solutions online, resolved them one by one, wrote the code, tested it, debugged it, set up the services, and came back with the report and it was just done. I didn’t touch anything. All of this could easily have been a weekend project just 3 months ago but today it’s something you kick off and forget about for 30 minutes. As a result, programming is becoming unrecognizable. You’re not typing computer code into an editor like the way things were since computers were invented, that era is over. You're spinning up AI agents, giving them tasks *in English* and managing and reviewing their work in parallel. The biggest prize is in figuring out how you can keep ascending the layers of abstraction to set up long-running orchestrator Claws with all of the right tools, memory and instructions that productively manage multiple parallel Code instances for you. The leverage achievable via top tier "agentic engineering" feels very high right now. It’s not perfect, it needs high-level direction, judgement, taste, oversight, iteration and hints and ideas. It works a lot better in some scenarios than others (e.g. especially for tasks that are well-specified and where you can verify/test functionality). The key is to build intuition to decompose the task just right to hand off the parts that work and help out around the edges. But imo, this is nowhere near "business as usual" time in software.
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The Random Recruiter
The Random Recruiter@randomrecruiter·
Remote workers after receiving a "are you available for a quick call?" notification during their mid day nap
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rvivek
rvivek@rvivek·
An engineer at Anthropic wrote a spec, pointed Claude at an Asana board, and went home. Claude broke the spec into tickets, spawned agents for each one, and they started building independently. When the agent is confused it runs git-blame and messages the right engineers in Slack. By Monday the agents finished the plugin feature. That's one example of how the best engineers are shipping software right now. Developers will soon orchestrate 50 AI agents in parallel and the difference between a good engineer & a great one would come down to specs. You can't write a spec that holds up at that scale without genuinely understanding what you're building at a deeper level. The next-gen developer who understands the fundamentals, can architect well and orchestrate agent is going to be a 1000x developer!
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Claude
Claude@claudeai·
New in Claude Code: Remote Control. Kick off a task in your terminal and pick it up from your phone while you take a walk or join a meeting. Claude keeps running on your machine, and you can control the session from the Claude app or claude.ai/code
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Claude
Claude@claudeai·
We've also created plugins across HR, design, engineering, ops, financial analysis, investment banking, equity research, private equity, and wealth management to help users see what's possible and start building their own.
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