Vibe Coding
Posted: February 13, 2025 Filed under: Development, Trick | Tags: paradigm Comments Off on Vibe CodingTwo weeks ago I started to noticed about something that’s both fascinating and slightly unsettling: vibe coding. And no, it’s not about writing code while listening to lo-fi beats (though that sounds nice too).
Vibe coding, as coined by Andrej Karpathy, is essentially “fully giving in to the vibes” and forgetting that code even exists. Instead of writing lines of code, you’re having a conversation with AI about what you want to build. It’s less about “how” and more about “what”.
Think about it: instead of googling Stack Overflow (that was so 2022, who’s still do that?) for the millionth time about that one CSS property you can never remember, you just tell an AI, “Make this button look cooler.” And it… just does it?
Even wild, you can make it independently execute 10 steps by itself.
The wild part is that it works. People are building entire applications without writing a single line of traditional code. It’s like having a really smart dev friend who does all the technical heavy lifting while you focus on the creative vision. I been using voice/STT as interface (because typing is slow) and AI IDE like Cursor since last year (even longer with voice as interface – almost 10 years till this date, can you believe it? **Dragon Dictate, hello!), and I agreed it was new paradigm even though I felt like I was cheating.
But here’s what fascinates me most: we’re moving from a world where coding was about speaking the computer’s language to one where computers are learning to speak ours. It’s not about syntax anymore—it’s about vibes.
Is this the future of software development? Maybe. Will it replace traditional coding? Probably not entirely. But it’s definitely changing how we think about building software. – I am firm believer the future is also agentic.
For now, I’m both excited and slightly terrified to see where this goes. After all, sometimes the best vibes come from understanding what’s happening under the hood.
What do you think about this shift? Are you ready to give in to the vibes?
Git Reset Lifeline
Posted: January 4, 2024 Filed under: Development Comments Off on Git Reset LifelineWhoops! I got myself into a Git pickle yesterday. I was trying to pull some updates from upstream into my feature branch, a normal part of my workflow. But before I knew it, things spiralled out of control. Merges going every which way, commits piling up, extra branches multiplying like rabbits. After 7 or 8 hours of working time, I somehow ended up with 5 extraneous branches! 😅
Anyway, I decided to take a beat, have some chamomile tea, and turn this Git debacle into a teaching moment. Because if it happened to me, it can happen to you! So here’s the scoop on how to hit the reset button on a branch when things go awry.
Hitting the Git Reset Button: A Chill Tutorial
Say you want to revert a branch back to a previous state. The easiest way is to do a hard reset. Just make sure you know what commit you want to revert to first! Here’s how:
- Check out the troubled branch:
git checkout branch-backup- Reset it to the desired commit to erase all changes after that point. Sayonara, buggy code!
git checkout main
git reset --hard branch-backup- If you already pushed the branch, you’ve got to force push the changes:
git push origin main --forceAnd you’re done! Branch restored to commit bliss.
Just be cautious with that last step—it rewrites history, so use sparingly. And you may need to give your teammates a heads up.
Now I’m off to relax after my Git escapade with some more calming tea and a peanut butter toast.
Graph-powered BI
Posted: August 22, 2021 Filed under: Development Comments Off on Graph-powered BIThe first generation of business intelligence tools focused on reporting and OLAP cubes, which organised and analysed historical financial, sales, and manufacturing data. Despite being extremely useful, it only provides a backwards view of the world.
Second-generation business intelligence was all about real-time, allowing executives to view timely data while quickly adjusting and interacting with such views. This is where we are now, gradually.
Third-generation business intelligence, rather than just historical enterprise data, will generate data and analytics for decision-making based on the qualitative (real) world, such as finance sentiment, economics, and social information such as what key leaders have said in the past and present. It would be fantastic if we could link this data.
The next generation of BI will most likely have integration of these two components;
- Enrichment – the ability to contextualise internal business data by enriching it with external “intelligence”;
- Correlation – identifies relationships between internal and external data/logs.
A knowledge graph is a database that contains information about people, places, things, and events. It’s similar to a map that shows how things are related to one another. It facilitates us in comprehending the relationships between various entities in the real world. It can be used to power applications like dashboards, reports, and scorecards in business analytics.
The goal is to comprehend the world around us in a broader and more interconnected manner.
Build your own image dataset from search engine
Posted: March 28, 2017 Filed under: Development | Tags: data Comments Off on Build your own image dataset from search engineFinding or getting the right dataset is painful process. Here’s an idea : let’s scrape images from search engine.
Combination of category and variations would pull series of queries to wrest images from search engine, before download an image from an url. Source code that scrape close to 1M of images overnight (I do not owned the code, however I think it is very useful). Really helpful to getting train sets for classifier.
The pipeline of developing dataset. Original diagram by D Grossman.
Read the details from the original post.
WordPress : Battling with the White screen of death
Posted: February 5, 2017 Filed under: Development | Tags: wordpress Comments Off on WordPress : Battling with the White screen of deathUpdating a deaf theme (no within-panel update) should be easy job.
Just upload, renaming folder for transition, and hit refresh.
Blank screen. 😦
Nav to /wp-admin. Here is also white screen. And I had no backup!
I made mistake today. I accidentally renamed theme folder without deactivate the current theme first. The upshot? White screen of death. My friend Aqeel is on his way for an appointment for the project, possibly asking for collaboration for the website. And yet I updating the website.
The problem was, I hosted WordPress, naked, on DigitalOcean; with no cpanel, no PhpMyAdmin etc – putting more cream to challenges.
I learnt something. I also learnt there’s no clear way solution were found.
Here’s the way to solve this.
- Check the current_theme values on by accessing your database on wp_options. WordPress has fail-safe mechanism for this – if your current theme has problem, it will fall to another theme for that matter.
- Rename the intended theme as temporary name in wp-content. For example tweentyseventeen_new.
- This way, WordPress should load as it should because fail-safe exceptions are passed.
- If you’re lucky you will see your dashboard. Now change the theme. Fixed.
- If not working, rename plugins folder temporarily to disable all plugins. Repeat step one.
Moral of the story; do not maintain anything without backup.
GitHub + Jupyter Notebooks = <3
Posted: January 24, 2017 Filed under: Development | Tags: Github, Jupyter Comments Off on GitHub + Jupyter Notebooks = <3
I found new love! It’s everything in a box called; Jupyter (later version of iPython Notebook).
This is my first push a notebook to github. It automagically rendered into glory in Github. Made show-and-tell swifter with Markdown support.
Looking to get started? Simply commit a .ipynb file to a new or existing repository to view the rendered notebook. Alternatively if you’re looking for some inspiration then check out this incredible gallery of Jupyter notebooks.
I couldn’t afford Siraj Raval’s deep learning Udacity course. So, I curated his Youtube content instead.
Posted: January 21, 2017 Filed under: Development | Tags: Deep Learning, Machine Learning Comments Off on I couldn’t afford Siraj Raval’s deep learning Udacity course. So, I curated his Youtube content instead.It is sad. Because I can’t afford this £300 course, I could if the deadline did not fall this week. The course enrolment is ended today (20 Jan 2017), but if Udacity extends the deadline until next week, I’d certainly able to do that. Sadly, this is probably a one-time thing only at Udacity.
Who don’t know Siraj Raval? He is computer science version of Neville Medhora. He is one of the best youtuber in education — engaging, hilarious, non-BS style of teaching. Everyone loves him.
Anyway, based on the landing page — I notice most of the curriculum are resemblance with the content on YouTube. I haven’t watch everything yet, but, I know this is the closest equivalent what Udemy offers. So, I spent sometime to make this list;
It can’t be as complete as the course. This is the closest I could collect.
WEEK 1 Types of Machine Learning and when to use Machine Learning
Live Session: Linear regression from scratch
WEEK 2 Neural Network Architecture and Types
Live Session: Numerical classification from scratch
I assume this is basic classification. Siraj would probably feed data from classical csv, I don’t know.
WEEK 3 Cloud Computing and Sentiment Analysis
Live Session: Sentiment analysis from scratch and cloud computing detailed instruction
Sentiment :
Sentiment 2 :
WEEK 4 Math Notation and Recommender Systems
Live Session: Various math examples and recommender system from scratch
WEEK 5 Data preparation (cleaning, regularization, dimensionality reduction)
Live Session: Data prep from scratch
WEEK 6 Drone Image Tracking
Live Session: Image classification from scratch
WEEK 7 Prediction
Live Session: Stock Prediction from scratch
WEEK 8 Art Generation
Live Session: Artistic Style transfer from scratch
WEEK 9 Music Generation (LSTMs applied to Audio)
Live Session: Generating music from scratch
WEEK 10 Poetry Generation (LSTMs applied to NLP)
Live Session: Text generation from scratch
This is the closest with Poetry generation, using HMM.
WEEK 11 Language translation (sequence to sequence)
Live Session: Language Translation from scratch
Unfortunately, I can’t any topic on this on Sirajology. Hopefully, he will do this topic in the near future.
WEEK 12 Chatbot QA System with Voice
Live Session: Chatbot from scratch
A Tensorflow chatbot!
WEEK 13 Game Bot 2D (reinforcement learning via Monte-Carlo tree search)
Live Session: Game bot from scratch
There are many videos falls into this topic. Apparently, it is the most popular topic in Sirajology. Hence, I made a playlist.
WEEK 14 Image Compression
Live Session: Autoencoder from scratch
WEEK 15 Data Visualization
Live Session: Data visualization from scratch
WEEK 16 Image Generation
Live Session: Generative adversarial network from scratch
WEEK 17 One-shot Learning (Probabilistic Programming)
Live Session: One shot learning from scratch
All these are good supplementary prior to the course, I think. It’s still fundamental compared to a full
I would love to learn NN and GAN from Siraj (and also LSTM and Recurrent net to build translation chatbot into my native language?). However, I don’t have money because students like me are broke and don’t own much money.