Zohaib | Full Stack Developer

Software Engineer

It's deep wisdom to know yourself.

[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.
https://t.co/yR9X32e819

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

[Amazon Web Services @awscloud]

Meet the new AWS Sustainability console, a dedicated service built for your environmental data.

Independent access controls, improved visualizations, API access, SDK support and deeper visibility across your AWS footprint.

Your environmental data, on your terms.

[Zohaib | Full Stack Developer @zohaibdev]

Replacing humans with AI is Backfiring.

[Zohaib | Full Stack Developer @zohaibdev]

Data. Function. No Servers! Serverless is exciting, right!?! #aws

[Zohaib | Full Stack Developer @zohaibdev]

🔍 Best Practices for Auditing Your AWS Environment
Strong security starts with regular audits:
• IAM permissions + Policy Simulator • EC2 Security Group rules • VPC & Network ACLs • CloudWatch metrics & alarms • CloudTrail logs in S3
Reduce risk. Strengthen governance.
#AWS

[Zohaib | Full Stack Developer @zohaibdev]

Understanding Proxy, Forward Proxy, and Reverse Proxy — A Practical Guide

https://t.co/Rh2Q0aYKXe

[Zohaib | Full Stack Developer @zohaibdev]

Massive respect to @MrAhmadAwais for ramadan-cli such beautiful, thoughtful work that just makes everything feel easier and more special. Loving it! 🌙✨

[Zohaib | Full Stack Developer @zohaibdev]

Agents rarely fail because they cannot reason. They fail because they reason correctly over an unreliable connection to the world.

[Andrew Ng @AndrewYNg]

Job seekers in the U.S. and many other nations face a tough environment. At the same time, fears of AI-caused job loss have — so far — been overblown. However, the demand for AI skills is starting to cause shifts in the job market. I’d like to share what I’m seeing on the ground.

First, many tech companies have laid off workers over the past year. While some CEOs cited AI as the reason — that AI is doing the work, so people are no longer needed — the reality is AI just doesn’t work that well yet. Many of the layoffs have been corrections for overhiring during the pandemic or general cost-cutting and reorganization that occasionally happened even before modern AI. Outside of a handful of roles, few layoffs have resulted from jobs being automated by AI.
Granted, this may grow in the future. People who are currently in some professions that are highly exposed to AI automation, such as call-center operators, translators, and voice actors, are likely to struggle to find jobs and/or see declining salaries. But widespread job losses have been overhyped.

Instead, a common refrain applies: AI won’t replace workers, but workers who use AI will replace workers who don’t. For instance, because AI coding tools make developers much more efficient, developers who know how to use them are increasingly in-demand. (If you want to be one of these people, please take our short courses on Claude Code, Gemini CLI, and Agentic Skills!)

So AI is leading to job losses, but in a subtle way. Some businesses are letting go of employees who are not adapting to AI and replacing them with people who are. This trend is already obvious in software development. Further, in many startups’ hiring patterns, I am seeing early signs of this type of personnel replacement in roles that traditionally are considered non-technical. Marketers, recruiters, and analysts who know how to code with AI are more productive than those who don’t, so some businesses are slowly parting ways with employees that aren’t able to adapt. I expect this will accelerate.

At the same time, when companies build new teams that are AI native, sometimes the new teams are smaller than the ones they replace. AI makes individuals more effective, and this makes it possible to shrink team sizes. For example, as AI has made building software easier, the bottleneck is shifting to deciding what to build — this is the Product Management (PM) bottleneck. A project that used to be assigned to 8 engineers and 1 PM might now be assigned to 2 engineers and 1 PM, or perhaps even to a single person with a mix of engineering and product skills.

The good news for employees is that most businesses have a lot of work to do and not enough people to do it. People with the right AI skills are often given opportunities to step up and do more, and maybe tackle the long backlog of ideas that couldn’t be executed before AI made the work go more quickly. I’m seeing many employees in many businesses step up to build new things that help their business. Opportunities abound!

I know these changes are stressful. My heart goes out to every family that has been affected by a layoff, to every job seeker struggling to find the role they want, and to the far larger number of people who are worried about their future job prospects. Fortunately, there’s still time to learn and position yourself well for where the job market is going. When it comes to AI, the vast majority of people, technical or nontechnical, are at the starting line, or they were recently. So this remains a great time to keep learning and keep building, and the opportunities for those who do are numerous!

[Original text; https://t.co/zbIhZHfCC0 ]

[Zohaib | Full Stack Developer @zohaibdev]

what's the hardest non-technical problem you're dealing with right now?

[Zohaib | Full Stack Developer @zohaibdev]

The quality of an AI model degrades as you use it more.

#codex #ChatGPT #ClaudeCode

[Zohaib | Full Stack Developer @zohaibdev]

Get off Localhost

#localhost

[Zohaib | Full Stack Developer @zohaibdev]

wild

[Tibo @thsottiaux]

Codex now pretty much builds itself, with the help and supervision of a great team. The bottleneck has shifted to being how fast we can help and supervise the outcome.

[Zohaib | Full Stack Developer @zohaibdev]

Codex app is fire 🔥

[Zohaib | Full Stack Developer @zohaibdev]

MIT’s “The Missing Semester of Your CS Education” (IAP 2020): 11 practical lectures on shell/scripting, Vim, data wrangling, Git, debugging & profiling, build systems/CI, and security/cryptography—notes + exercises + videos: https://t.co/TqNUCHdLUw #MissingSemester #MIT

[Zohaib | Full Stack Developer @zohaibdev]

Ok

[Zohaib | Full Stack Developer @zohaibdev]

@UzairGhareeb @Dr_SadiaAz Lol it doesn't matter how much tax you pay you'll get third class services.

[Zohaib | Full Stack Developer @zohaibdev]

I just picked up the domain https://t.co/soFonhPdsZ. If you could "fix" one part of your SaaS instantly, what would it be? 👇

[Zohaib | Full Stack Developer @zohaibdev]

Inside the world’s largest Bitcoin mine

[Zohaib | Full Stack Developer @zohaibdev]

Using AI for coding feels like outsourcing your thinking, not your responsibility.