Aitizaz Khan

1.6K posts

Aitizaz Khan

Aitizaz Khan

@AitizazK

Tinkering with Agents | Eng @Motive_inc | formerly co founder of @rabbitdrop_ | #GIKI alum | 🇺🇸 🇵🇰

San Francisco, CA Katılım Haziran 2013
748 Takip Edilen346 Takipçiler
Sabitlenmiş Tweet
Aitizaz Khan
Aitizaz Khan@AitizazK·
Only those who will risk going too far can possibly find out how far one can go
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Aitizaz Khan
Aitizaz Khan@AitizazK·
@garrytan Are you using both openclaw and hermes or is it some sort of a hybrid setup?
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Garry Tan
Garry Tan@garrytan·
My OpenClaw/Hermes Agent setup just got way smarter
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Matt Van Horn@mvanhorn

Introducing the Printing Press, a CLI-factory and a CLI-library. Built with @trevin. 🏭🖨📚 Most APIs suck for agents. Most MCPs suck for agents. Most official CLIs suck for agents. They waste tokens and time. @steipete started making his own because of this. 📚 A Library of agent-native CLIs you install today (Linear, ESPN, Flight GOAT (Google Flights + Kayak nonstop), Contact Goat (LinkedIn + Happenstance + Deepline more) +30+ more) 🏭 A factory that prints new ones for any service - just type /printing-press CLIs are fast, local, SQLite-backed. Work in Claude Code, Codex, OpenClaw, Hermes. 🌐 printingpress.dev

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Aitizaz Khan
Aitizaz Khan@AitizazK·
Ladies and gentlemen, ex president of Pakistan is coding now and has published his work on github Wild times 🔥
Dr. Arif Alvi@ArifAlvi

My leader @ImranKhanPTI sits in jail with his health in jeopardy. His imprisonment weighs on us every day. But I know him well enough to say this: He would want Pakistan's young people to keep building, to take on the world. Especially in AI. Especially now, without losing sight of the political struggle, which we will not abandon. This thread is for them 🧵 — Forced to stay away from my country gave me two benefits: More time and more passion. I chose not to waste either. This is a personal account: It started with my need to transcribe my long speeches, some over thirty minutes, in mixed English and Urdu on YouTube (which gave a Hindi/Sanskrit transcript). The platforms available would do a bad job with the mix. So, I asked my coaches — ChatGPT, Claude & Gemini and I concluded to do it myself, locally, with Whisper’s large, medium & small models and other AI tools. This was completed in Dec ‘25 For the sake of open source and transparency, I am publishing it on GitHub. github.com/DrArifAlvi/you… In January ’26, I began building the Dr Arif Alvi AI Archive. An attempt to bring together everything I had said, written, read, and recorded across decades, and make it searchable, synthesizable, MINE. I built it alone. No team. No budget. Just time, curiosity, and persistence. It runs entirely on my enhanced laptop. My data never leaves it. My AI agents ingest my writings/articles; thousands of books read and summarised; millions of words of archival material; my thousands of speeches on YouTube press conferences; thousands of talk show appearances since 2000 and clips on YouTube. All scraped from the net via APIs— indexed, and alive inside my local RAG (Retrieval Augmented Generation) system that answers back. My 50,000+ tweets are searchable faster than X's own tools. Not just by keyword but semantically. None of it leaves my computer or enters the public domain, remains private. — The local LLMs answer questions, draft research briefs, synthesize across all data. When I need to reach beyond my own archive, they augment from public LLMs — ChatGPT, Claude, DeepSeek, others. I use the archive every day, updating it regularly. It has changed how I think and work. — Following are the layers of the stack — what I built is one-of-one. But what I built it from is available to every-one: ▶️ Ollama / Llama / Phi / Qwen — local LLMs running entirely on-device ▶️ Whisper — bilingual English-Urdu speech transcription ▶️ ChromaDB — vector memory across 70,000+ chunks ▶️ Sentence Transformers — semantic search across tweets, speeches, and archives ▶️ Streamlit — dashboard with dual modes: semantic search and AI research ▶️ Six LLM interfaces (ChatGPT, Claude, DeepSeek, Gemini, Perplexity, Copilot) for python scripts and for augmentation of local output ▶️ OpenClaw and GitHub — for code management ▶️VS Code — for scripts and code writing None of them are mine. The COMPOSITION is mine. — I should tell you what it took to get here. I started learning Python basics from online courses. I am not a programmer, but I reviewed and iterated over a million lines of scripts —learning, correcting, improving, understanding—just enough to keep going. I had launched Pakistan's Presidential Initiative on Artificial Intelligence in 2019. I thought I understood AI but I took advanced courses anyway. There is always more to learn, and humility about ignorance is not a weakness. It is the only honest starting point. — There are tens of thousands of students, researchers, operators, lawyers, and doctors across Pakistan and the world, quietly trying to dabble in AI right now. To them I would say: software writing is mostly done by machines today. You do not need to become a programmer. You need to understand enough to read, direct, correct and employ tools — like a symphony conductor, with an AI baton. More than anything, pick a project. Something real, something yours.🔑 Scripts fill the architecture. Concrete fills the blueprint. GET TO WORK And do not move slowly. AI tools and agentic systems are changing every single day. What was remarkable yesterday is ordinary today. Sometimes the gap is hours, not months. The people who stay ahead are not waiting to fully understand it before they begin. THEY ARE ALREADY BUILDING. — Pakistan cannot afford to fall behind in this. Not out of nostalgia for what Pakistan was, but out of economic and strategic urgency for what it must become — because our talented, hungry people can build anything when given the tools and the leadership. This is for them. START

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Aitizaz Khan
Aitizaz Khan@AitizazK·
@sairahul1 Have you watched it yourself? It’s a prompt engineering talk not a Claude code features talk
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Rahul
Rahul@sairahul1·
Two Anthropic engineers spent 24 minutes exposing every Claude Code feature you didn't know existed. Most people will scroll past this. Don't be most people.
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Adi Singh
Adi Singh@adisingh·
We were recently ranked #1 out of 50 companies in Agent Readiness done by Ora So proud of our team - we have been GRINDING these last few weeks to make our AX seamless Back to work!!
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Aitizaz Khan
Aitizaz Khan@AitizazK·
If you have a Mac lying around, do give this a try. Local models have come so far
Graeme@gkisokay

The Local LLM cheat sheet for your 16GB RAM device I pulled together a lineup of small models that can run comfortably on a Mac Mini or personal laptop while still leaving room for context without melting your machine. Models for Daily Use Qwen3.5 9B / GGUF / Q4_K_M Daily driver. General chat, drafting, research, translation. If you're keeping only one, keep this. DeepSeek-R1 Distill Qwen 7B / GGUF / Q4_K_M Reasoning engine. Math, logic, step-by-step problems. Slower, but worth it when you need actual thinking. Models for Specialty Work Qwen2.5 Coder 7B / GGUF / Q4_K_M Code specialist. Completions, refactors, debugging, repo Q&A. Better than a generalist when the task is code. Llama 3.1 8B / GGUF / Q4_K_M Long context worker. RAG, doc chat, codebase Q and A. The output isn't top tier, but the context is strong for its size. Phi-4 Mini Reasoning / GGUF / Q4_K_M Compact thinker. Logic, structured answers, math, and short coding bursts. Smaller context is the catch. Models for Efficiency Gemma 4 E4B / GGUF / Q4_K_M Light all-rounder. Writing, chat, light agents, structured output. Phi-3.5 Mini / GGUF / Q5_K_M Pocket sidekick. Summaries, extraction, background doc chat. Easy to pair with a bigger model. Qwen3.5 2B / GGUF / Q4_K_M Useful for summaries, tagging, rewrites, and lightweight sidekick work. Micro Models Qwen3.5 0.8B / GGUF / Q5_K_M Classification, keyword routing, binary decisions, triage. Gemma 4 E2B-it / GGUF / Q4_K_M Lightweight chat, quick Q and A, summaries, tiny agents. My personal choice for a single model is Qwen3.5 9B For two models use Qwen3.5 9B + Qwen2.5 Coder 7B for code, or Qwen3.5 9B + Phi-3.5 Mini for support tasks. Let me know in the comments your experience with these models, or any I have left out.

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Amjad Masad
Amjad Masad@amasad·
AI ate most of the software development lifecycle but maintaining live apps is still manual. “DevSecOps” is the new bottleneck as software creation explodes. Introducing Replit Auto-Protect: a 24x7 vulnerability scanner for your live apps.
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Aitizaz Khan
Aitizaz Khan@AitizazK·
@claudeai @dneighbors Love your work but this sounds too much like Apple. The best iPhone yet. Ofcourse it’s the best or why would people buy it
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Claude
Claude@claudeai·
Introducing Claude Opus 4.7, our most capable Opus model yet. It handles long-running tasks with more rigor, follows instructions more precisely, and verifies its own outputs before reporting back. You can hand off your hardest work with less supervision.
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Aitizaz Khan
Aitizaz Khan@AitizazK·
@FarzaTV Just pulled this locally and wired it up. Loved the onboarding. Looks like this weekend is gonna be fun
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Aitizaz Khan
Aitizaz Khan@AitizazK·
@ShafeeqGigyani Amazing. Will play around with it. I believe voice will have much bigger impact. Considering most people (atleast the one I know of) write and read Pashto only in Romanized form
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Jyoti Mann
Jyoti Mann@jyoti_mann1·
Exclusive: Meta employees are “tokenmaxxing” and competing on an internal leaderboard called “Claudeonomics” for status as a token legend. Over a recent 30-day period, total usage on the dashboard topped 60 trillion tokens.
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Aitizaz Khan
Aitizaz Khan@AitizazK·
@nateberkopec Isn’t that what you see in e.g cursor? Like go to a point in conversation, revert, edit instructions and start again?
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Nate Berkopec
Nate Berkopec@nateberkopec·
Future coding agents could lean into this, and instead present the entire context to the user in a single screen. Rather than simply append to it, you could go back, add, remove, modify to a far more complex representation. A graph? A tree? Not sure.
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Nate Berkopec
Nate Berkopec@nateberkopec·
I just think the chat interface of coding agents is entirely wrong. It creates this illusion of "talking" to a "thing" when really what you're doing is iteratively adding on to a prompt, which gets shoved to a brand-new just-born agent every time you press enter.
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Aitizaz Khan
Aitizaz Khan@AitizazK·
@gregolsent Curious Wouldn’t this be a compliance issue code getting auto merged?
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Inokentii Mykhailov
Inokentii Mykhailov@gregolsent·
This week at Intercom we hit over 19% of PRs auto-approved by our PR review agent based on Claude Code. Our ambitious goal is to get to 50+% by the end of this month. I'll spill all the details below and you decide yourself if we are out of our damned minds or onto something...
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Aitizaz Khan
Aitizaz Khan@AitizazK·
Did I just converted Claud code? 🤣
Aitizaz Khan tweet media
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Aitizaz Khan
Aitizaz Khan@AitizazK·
@0xleegenz @levelsio Been through this. Will highly recommend. Especially to people from countries where they have a lot of family/social support naturally. Being on your own in a completely different environment unlocks a lot of skills
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le.hl
le.hl@0xleegenz·
People who moved abroad alone in their 20s, handled all docs, bank account, visa, tax, jobs, accomadation, and culture difference These people fear nothing anymore
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Aitizaz Khan
Aitizaz Khan@AitizazK·
Along with productivity, AI agents have also increased the toil of context switching. Running and talking to a swarm of agents all day is both exciting and exhausting at the same time. Weird times
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Aitizaz Khan
Aitizaz Khan@AitizazK·
@yenkel There’s a new flex now “Token usage” as a metric for productivity
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yenkel
yenkel@yenkel·
why are we talking about lines of code as a productivity measure? using LoC to measure anything meant you were corporate in a bad way. now we are seeing this as a startup flex?
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Aitizaz Khan
Aitizaz Khan@AitizazK·
@levelsio I allowing me to type a reply but then gives me an error that it couldn’t be posted
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